I am an AI and blockchain tokenization developer with expertise in building tokenized systems, DeFi protocols, and AI-augmented development workflows. I hold an MSc in Computer Science from Ulster University (Belfast, UK) and a BS in Computer Science from Government College University Faisalabad, Pakistan (CGPA 3.4/4.0).

I use AI tools extensively in my workflow—from code generation and refactoring to architecture design and debugging. My professional experience spans blockchain-integrated financial applications, smart contracts, tokenization systems, and real-time data pipelines at Hutfin and KASB.

Research Interests

I conduct independent research on compliance-oriented blockchain architectures for regulated financial systems. My work focuses on public audit ledger design without speculative token incentives, institutional constraints in financial regulation, and the intersection of RegTech with distributed ledger technology.

Career Goals

I seek opportunities to build tokenized systems, DeFi protocols, and AI-powered financial applications. I am particularly interested in roles combining blockchain tokenization, AI/ML tooling, and regulated finance—where I can leverage both technical depth and AI-augmented development.

Achievements & Certifications

Winner — TRON Hackathon 2023 | Winner — Polkadot Hackathon 2023 | Published Research Paper (SSRN). Certifications: Blockchain Development (IBM), AI from the Data Centre to the Edge (Intel), Computer Vision (Coursera), Python for Data Science and AI (Coursera), GenAI for Fraud Detection and Compliance (Coursera). Daily user of AI-assisted development tools (Cursor, GitHub Copilot, Claude, ChatGPT).