Shariful Haque
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    About

    Shariful Haque is a seasoned technology executive, researcher, and innovator with a distinguished career at the intersection of Artificial Intelligence, data analytics, and strategic business operations. He has demonstrated consistent success in driving digital transformation, optimizing enterprise-level performance, and fostering organizational agility through data-driven leadership.

    As an independent researcher and technology strategist, he bridges the gap between complex technical implementation and executive-level business objectives. His work is characterized by a commitment to ethical AI governance, the modernization of data ecosystems, and the development of scalable, revenue-generating technology products.

    Areas of Expertise

    • Data Strategy & Analytics
    • AI & Machine Learning
    • Blockchain & Emerging Tech
    • Operational Leadership & Management
    • Predictive Analytics & Innovation
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    Resume

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    Professional Experience

    Business Data Analyst
    Transfotech Global Corp | 2023 - Present

    Collaborating, leading, and executing analytics projects end-to-end. Translate complex business requirements into a roadmap with key milestones and deliverables, aptitude in the key steps of analysis: requirement gathering, data acquisition, advanced analysis, presenting recommendations, implementing solutions and, partner with cross-functional teams.

      Chief Operating Officer (COO) & Chief Data & AI Officer (CDAIO)
      Tech Wania Information Technology | Dhaka, BD | 2020-2023

      Served in a dual executive capacity, driving overall operational excellence while simultaneously spearheading the company's digital transformation via Data and Artificial Intelligence strategy. Accountable for P&L management, optimizing core IT service delivery, and ensuring the successful monetization and ethical governance of data assets. Led cross-functional teams focused on product innovation, system modernization, and organizational restructuring for agility.

        General Manager & Data Governance Lead
        TDK Telecom Limited | Dhaka, BD | 2018-2020

        Directed the enterprise Data Governance function, responsible for developing and enforcing policies, standards, and processes to ensure data quality, privacy, integrity, and regulatory compliance across all telecommunication systems and customer data platforms. Managed data stewardship initiatives and collaborated with legal, IT, and security teams to mitigate data risk.

          Assistant General Manager & Data Strategy Officer
          Amara Networks Limited | Dhaka, BD | 2013-2017

          Bridged the gap between C-level strategic objectives and data technology execution. Developed a long-term data strategy roadmap focused on leveraging network traffic data, customer usage patterns, and IoT data streams to improve network infrastructure and service offerings. Managed the budget and deployment of data modernization projects.

            AVP & Head of Competitive Data Analytics
            Green Delta Financial Services Limited | Dhaka, BD | 2009-2013

            Led the specialized analytics unit focused on gathering, processing, and analyzing competitive market data, pricing strategies, and product performance metrics within the financial services sector. Provided actionable intelligence to the executive team to inform strategic pricing, product design, and market entry decisions.

              Education

              BBA
              University of Development Alternative | 2009
              MBA
              University of Information Technology & Sciences | 2021
              Doctorate in Information Technology
              Trine University | 2026

              Skills

              Technical
              Data Analytics
              Predictive Modeling
              AI & Machine Learning
              Blockchain
              Data Visualization
              Statistical Analysis
              ERP and Automation
              Risk & Financial Modeling
              Project Management Tools
              Soft Skill
              Business Leadership
              Project Engineering & Management
              Mentorship
              Capacity Building
              Tool
              Tableau
              Power BI
              SPSS
              Stata
              Asana
              Jira
              Trello
              Language
              Python
              R
              SQL

              Projects & Patents

              A selection of my work. See what I've been building.

              WEARABLE HEALTH MONITOR DEVICE
              WEARABLE HEALTH MONITOR DEVICE
              in respect of the application of such design to: WEARABLE HEALTH MONITOR DEVICE International Design Classification: Version: 15-2025 Class: 10 CLOCKS AND WATCHES AND OTHER MEASURING INSTRUMENTS, CHECKING AND SIGNALLING INSTRUMENTS Subclass: 04 OTHER MEASURING INSTRUMENTS, APPARATUS AND DEVICES
              View Patent
              BLOCKCHAIN BASED HEALTH CARE DATA RECORDING DEVICE
              BLOCKCHAIN BASED HEALTH CARE DATA RECORDING DEVICE
              in respect of the application of such design to: BLOCKCHAIN BASED HEALTH CARE DATA RECORDING DEVICE International Design Classification: Version: 15-2025 Class: 14 RECORDING, TELECOMMUNICATION OR DATA PROCESSING EQUIPMENT Subclass: 02 DATA PROCESSING EQUIPMENT AS WELL AS PERIPHERAL APPARATUS AND DEVICES
              View Patent
              BLOCKCHAIN BASED MEDICAL DATA STORAGE DEVICE
              BLOCKCHAIN BASED MEDICAL DATA STORAGE DEVICE
              International Design Classification: Version: 15-2025 Class: 14 RECORDING, TELECOMMUNICATION OR DATA PROCESSING EQUIPMENT Subclass: 05 RECORDING AND DATA STORAGE MEDIA
              View Patent
              BLOCKCHAIN BASED COMPUTERISED DISPLAY SCREEN FOR PROJECT
              BLOCKCHAIN BASED COMPUTERISED DISPLAY SCREEN FOR PROJECT
              STATUS MANAGING' International Design Classification: Version: 15-2025 Class: 14 RECORDING, TELECOMMUNICATION OR DATA PROCESSING EQUIPMENT Subclass: 04 SCREEN DISPLAYS AND ICONS
              View Patent
              Reciprocal Agentic Compute Network
              Reciprocal Agentic Compute Network
              Our RACoN project is designed to turn a network of ordinary computers into a distributed AI computing network, where multiple heterogeneous PCs contribute their available hardware resources to run AI models together. The main idea is that one computer doesn't need to own all the GPU, CPU, RAM, and storage required for a model. RACoN coordinates resources across participating computers and distributes model execution across them.
              AI
              Research
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              Awards & Recognitions

              Honored for my contributions and achievements.

              IEEE Senior Member
              IEEE Senior Member

              IEEE, 2025

              Certificate of IEEE Membership

              This certificate recognizes Shariful Haque as an IEEE Senior Member in good standing, reflecting a persona...

              Certified Blockchain Expert™
              Certified Blockchain Expert™

              Blockchain Council, 2026

              Certification Acknowledgment

              This is to acknowledge that Shariful Haque has successfully completed all requirements and criteria for the **Ce...

              ITLA Award | Tech Futurist Leadership Award
              ITLA Award | Tech Futurist Leadership Award

              EAMCON, 2026

              Certificate of Achievement

              This certificate is proudly awarded to Shariful Haque in recognition of receiving the **Tech Futurist Leadership A...

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              AICCoNS
              AICCoNS

              University of Wollongong, Dubai, 2026

              Shariful haque Future Crypto Fintech Incorporations

              has successfully served as a Reviewer for the Second International Conference on Artificial In...

              3rd International Conference on Advancements & Key Challenges in Green Energy and Computing (AKGEC2026)
              3rd International Conference on Advancements & Key Challenges in Green Energy and Computing (AKGEC2026)

              Ajay Kumar Garg Engineering College, Ghaziabad, 2026

              This Certificate is presented to Shariful Haque for his Contribution as a Reviewer during the 3'd International Conference on Advancements & Key Chall...

              Global Recognition Awards Shariful Haque 2025
              Global Recognition Awards Shariful Haque 2025

              Global Recognition Award 2025, 2025

              Shariful Haque has been honored with a 2025 Global Recognition Award for his exceptional contributions to data-driven technology leadership and digita...

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              News & Press

              Media mentions, interviews, and articles.

              Shariful Haque Honoured with the Tech Futurist Leadership Award at EAMCON 2026
              THE ARYAVARTH EXPRESS logo
              Shariful Haque Honoured with the Tech Futurist Leadership Award at EAMCON 2026

              THE ARYAVARTH EXPRESS

              EAMCON 2026 Concludes with Resounding Success at Shinawatra University, Thailand International TechXcellence Leadership Awards Honour Global Leaders in Innovation Bangkok, Thailand — The EAMCON 2026 conference wrapped up with resounding success at Shinawatra University, bringing together visionaries, researchers, and industry pioneers from across the globe. The event served as a premier platform for exchanging groundbreaking ideas and fostering collaborations that will shape the future of technology and leadership. Highlights of the Event Venue: Shinawatra University, Thailand Focus: Emerging technologies, innovation, and transformative leadership Key Feature: International TechXcellence Leadership Awards ceremony International TechXcellence Leadership Awards A centerpiece of EAMCON 2026 was the prestigious International TechXcellence Leadership Awards, which recognized and celebrated outstanding global leaders driving innovation across diverse fields. The awards honoured individuals and organizations whose remarkable contributions have made a significant impact on the technological landscape. "These awards are a testament to the extraordinary dedication and vision of leaders who are not just adapting to the future, but actively creating it." Looking Ahead The success of EAMCON 2026 reaffirms its position as a landmark event in the international conference calendar. With its blend of insightful discourse, networking opportunities, and recognition of excellence, the conference continues to inspire the next generation of tech leaders and innovators.

              Jul 16, 2026Read Full Article
              Architecting intelligence: How Shariful Haque is advancing data-driven strategy across industries
              MSN logo
              Architecting intelligence: How Shariful Haque is advancing data-driven strategy across industries

              MSN

              Shariful Haque is a leader in data analysis and his work includes intelligence making sure data is good and safe and predicting what will happen in the future. He has worked in banking, telecommunications and big technology companies. His career shows how companies are using data more and more to make decisions.

              Apr 3, 2026Read Full Article
              Shariful Haque Examines the Global Impact of AI and Business Analytics
              SCI-TECH logo
              Shariful Haque Examines the Global Impact of AI and Business Analytics

              SCI-TECH

              As artificial intelligence reshapes economies and industries worldwide, Shariful Haque is positioning himself at the forefront of academic research exploring how AI and business analytics are driving a new era of intelligent decision-making and organizational transformation. A data analyst, researcher, and doctoral scholar based in Los Angeles, Haque is currently pursuing a PhD alongside a Doctorate of Business Administration in Business Analytics, an ambitious academic path that reflects his commitment to both theoretical advancement and applied research.

              Jan 20, 2026Read Full Article
              Unlocking Operational Efficiency: Shariful Haque’s Framework for AI-Driven Enterprise Resource Planning
              Applied Technology News logo
              Unlocking Operational Efficiency: Shariful Haque’s Framework for AI-Driven Enterprise Resource Planning

              Applied Technology News

              Haque’s academic background includes an MBA in Finance and Business Analytics and extensive training in data science, predictive modeling, and statistical research. His work examines AI-driven decision systems, intelligent automation, fintech innovation, digital transformation, and data-centric organizational strategy.

              Jan 20, 2026Read Full Article
              The Future of Healthcare Management: Shariful Haque on AI-Powered System Optimization
              American Tech Today logo
              The Future of Healthcare Management: Shariful Haque on AI-Powered System Optimization

              American Tech Today

              The AI revolution is not only technological. It is reshaping how organizations make decisions, design systems, and create value across industries.”— Shariful Haque

              Jan 20, 2026Read Full Article
              Transforming Decision-Making: A Deep Dive into AI-Driven Predictive Analytics
              Global Tech Times logo
              Transforming Decision-Making: A Deep Dive into AI-Driven Predictive Analytics

              Global Tech Times

              A data analyst, researcher, and doctoral scholar based in Los Angeles, Haque is currently pursuing a PhD alongside a Doctorate of Business Administration in Business Analytics, an ambitious academic path that reflects his commitment to both theoretical advancement and applied research. His doctoral research focuses on how artificial intelligence and business analytics are bringing a revolution across industries, redefining how organizations operate, compete, and innovate.

              Jan 18, 2026Read Full Article
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              Books

              A collection of my authored works and recommended reading.

              Data Meets Decisions: A Project Manager’s Guide to Analytics with Real-Life Stories
              Data Meets Decisions: A Project Manager’s Guide to Analytics with Real-Life Stories

              by Shariful Haque

              Data Meets Decisions: A Project Manager’s Guide to Analytics

              In today’s data-saturated business...

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              From the Blog

              Check out my latest articles and insights.

              How we designed the architecture for RACoN
              How we designed the architecture for RACoN
              October 17, 2026

              Running large models locally usually hits a hardware wall pretty fast. One machine has a decent GPU with limited VRAM, another has plenty of system memory, and a third is just sitting idle with spare disk space and CPU cycles. With RACoN (Reciprocal Agentic Compute Network), we wanted to see if we could pool these mixed machines together and expose them as one logical AI inference service. Designing a system like this means separating cluster management from raw tensor math. Here is how we laid out the architecture.

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              Risk Management
              Risk Management
              May 3, 2026

              Data Meets Decisions serves as a bridge between the often-siloed worlds of project management and data analytics. It argues that project failure is rarely a lack of data, but a failure to translate that data into actionable, strategic decisions.

              Read More
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              Get In Touch

              Have a project in mind or just want to say hi? I would love to hear from you.

              Contact Information
              shariful.haque.research@gmail.com
              +1 (305) 502-8574
              Send a Message
              Your message will be sent directly to my inbox.
              © 2026 Shariful Haque. All Rights Reserved.
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              Research & Publications

              My contributions to the academic community.

              Intelligent Cybersecurity Framework Machine Learning-Driven Data Protection and Threat Intelligence Integration for Modern Digital Communications
              International Journal of Applied Mathematics, 2025
              Journal/Article

              The exponential growth of digital communications, driven by cloud computing, IoT, 5G, and edge technologies, has significantly expanded the cyber-security threat landscape. Traditional rule-based defense mechanisms are increasingly inadequate against sophisticated attacks such as advanced persistent threats (APTs), and polymorphic malware. In response, machine learning (ML) and artificial intelligence (AI) have emerged as transformative tools for enhancing cyber-security frameworks, enabling adaptive data protection and real-time threat intelligence integration. Research Objective: This study aims to design and evaluate an intelligent cybersecurity framework that leverages machine learning techniques to improve data protection and integrate threat intelligence for securing modern digital communications. Research Methods: A review-based methodology was employed, synthesizing literature published between 2012 and 2024. Sources included peer-reviewed journals, government publications (eg, NIST, CISA), and industry reports. The study applied systematic search strategies using academic databases and threat intelligence platforms. Conclusion:

              Cited by 11
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              Enhancing Adaptive Learning, Communication, and Therapeutic Accessibility through the Integration of Artificial Intelligence and Data-Driven Personalization in Digital Health Platforms for Students with Autism Spectrum Disorder
              Journal of Posthumanism, 2025
              Journal

              Autism Spectrum Disorder (ASD) impacts millions worldwide, posing distinct obstacles in schooling, communication, and access to therapy. Conventional educational and therapeutic approaches, while sometimes helpful, frequently lack the adaptability and customization necessary to meet the varied needs of kids with ASD. This research tackles existing gaps by integrating advanced Artificial Intelligence (AI) techniques and data-driven personalization in digital health systems. This study presents a novel, AIdriven adaptive learning and treatment system specifically developed for kids with autism spectrum disorder (ASD). This research assesses the efficacy of AI-driven personalization in improving learning outcomes, communication skills, and therapeutic accessibility through the utilization of simulated experimental data. Adaptive machine learning algorithms, natural language processing, and reinforcement learning techniques were incorporated into digital platforms, resulting in tailored intervention models that dynamically adjust to the cognitive and communicative profiles of each learner. Results from the simulated experiments demonstrate substantial enhancements in tailored adaptive learning pathways, quantifiable progress in communication skills, and heightened therapeutic accessibility and engagement compared to conventional methods. The performance assessment of AI models reveals strong accuracy, responsiveness, and efficiency in customizing instructional and therapeutic content to meet individual learner requirements. This research enhances previous work by providing empirical insights and practical consequences, demonstrating how AI-driven devices can substantially improve educational experiences and treatment outcomes for kids with ASD. Future directions encompass empirical testing, ongoing enhancement of AI models, and additional investigation into scalable application options within educational and healthcare contexts.

              Cited by 23
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              AI-Powered Healthcare Information Systems Securing Diabetes Management Through Integrated Technology Solutions and Enhanced Patient Care Delivery
              VER, 2025
              Article

              The epidemiology of diabetes in the United States is an acute topic of concern in community health and the economy that has some constraints in infrastructure such as the absence of specialists, ineffective glycemic control. A special opportunity, the introduction of Artificial Intelligence (AI) and Machine Learning (ML) into digital health will allow transferring the process of care delivery to the more proactive and personalized intervention and decrease the constantly increasing healthcare expenditures.

              Cited by 10
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              AI-Driven Strategies for Enhancing Non-Profit Organizational Impact
              AIJMR-Advanced International Journal of Multidisciplinary Research, 2024
              Journal

              Throughout the last couple of years, Artificial Intelligence (AI) has come under consideration as a revolutionizer of numerous sectors in which the non-profit sector is involved is not an exception. AI intervention can be applied to the non-profit techniques in a way that this paper seeks to explain the extent of the success that can be realized. It discusses AI’s role in the non-profit organizations and pinpoints technologies like data analysis, AI-based fundraising solutions, program assessment, and chatbots to engage the donors. The paper also reviews general issues associated with the application of AI solutions including inadequate funds, dearth of specialists in AI and data privacy issues, and come up with measures to mitigate these challenges. It also elaborates on the evaluation indicators of the degree of AI impact in non-profits such as, efficiency increment indicators, fundraising indicators, changes in the programs, and indicators of stakeholders. The conclusions are that it is possible to achieve the positive impact on the function of distinctive non-profit organizations through the successful application of AI.

              Cited by 19
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              Shariful Haque

              Researcher | Data Analyst | Blockchain Innovator | Author

              Independent researcher and technology leader focused on AI, blockchain, data analytics, and ERP systems.

              View ResearchContact Me