Full-Stack (MERN / Django / Flask) · Computer Vision & ML · Open to SWE/ML roles
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Building scalable software, secure systems, and research-driven AI solutions.
From classroom to research lab to startup, building with purpose at every step.
Computer Science graduate from BRAC University with hands-on experience as a Full-Stack and Backend Engineer building multi-tenant architectures, secure web applications, and AI-driven solutions.
Currently serving as Founding Engineer at ClassTablet and Junior Software Engineer at Nyntax, shipping production systems with NestJS, Next.js, PostgreSQL, and TypeScript monorepos while maintaining reliability and performance.
Passionate about applying technical skills to solve real business and user needs, with research experience spanning visual speech recognition, biomedical signal processing, and computer vision.
Reliable code, secure architecture, and measurable impact. Engineering should earn trust at every layer of the stack.
Feb 2026 – Present
Designing and maintaining high-performance software systems, collaborating with product, design, and QA to deliver scalable, maintainable code.
Dec 2025 – Present
Shipping end-to-end product flows on a multi-tenant education platform: Next.js dashboard, NestJS + Fastify API, PostgreSQL, Redis, and payments/messaging infrastructure.
Jan 2022 – Jan 2026
Graduated with CGPA 3.70, building foundations in algorithms, systems, AI/ML, and software engineering through coursework and applied projects.
Jun 2024 – Dec 2025
Interdisciplinary biomedical research: computational analysis, experiment design, and documentation for scientific publications.
Jan 2023 – Dec 2025
Led initiatives at the BRAC University Research for Development Club, organizing research activities and fostering academic collaboration.
Building products, conducting research, and shipping solutions across domains.
Selected work spanning AI research, web platforms, and product engineering.
Academic work at the intersection of AI, speech, vision, and health informatics.
Undergraduate Thesis
Undergraduate thesis exploring self-supervised learning techniques to improve robustness and transferability in multilingual VSR models across resource-constrained languages.
Systematic Review
Comprehensive review analyzing 100 recent architectural studies evaluating CNNs, Transformers, and lightweight networks across diverse, privacy-aware datasets.
BIOSE Research
Data-driven experimentation at BIOSE integrating computer vision with wearable physiological sensors to monitor stress indicators in academic environments.
Interactive constellation of technologies I work with across the stack.
Languages
8 technologies
Impact measured in projects shipped, research pursued, and teams led.
Projects Built
Research Work
Leadership Roles
Years of Experience
Thoughts on engineering, AI, and building products that matter.
Architectural lessons from ClassTablet: shipping classrooms, payments, live sessions, and parent dashboards across a TypeScript monorepo.
Notes from my undergraduate thesis on improving cross-language generalization in Conformer-based lip-reading models.
How typed validation and modern auth reduce bugs when frontend and backend live in the same monorepo.
Quick answers about Fahad, for visitors, recruiters, and search engines.
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