Software Engineer · Full-Stack, ML & Agentic AI
I build full-stack web apps, data dashboards, and ML systems — TensorFlow in production, LangChain agents that act, APIs that stay up.
Skills: Python, TypeScript, React, Node.js, Django, TensorFlow, LangChain, Next.js, PostgreSQL, Docker, AWS, Laravel, Agentic AI, REST APIs, Data Visualization, Microservices
01 About
B.Sc. Computer Science and Engineering · North South University · 2015–2019 · Dhaka, Bangladesh
From a CS degree in Dhaka to ML in production and agents that ship — the chapters in between.
North South University · Dhaka, Bangladesh
A B.Sc. in Computer Science and Engineering. Four years of algorithms, systems, and the first real code that had to run — not just compile.
The degree closed. The first internship opened a hardware door.
Py Labs · Dhaka
A frontend for bulk SMS, and a Raspberry Pi with a GSM module that actually sent the messages. The first time software had to talk to a radio.
From a Pi on a desk to enterprise portals in the cloud.
Codemen Solution Inc. · Dhaka
Attendance tracking and housing management portals — React, Node.js, Express. Secure REST APIs and SQL that had to stay fast under real users.
Cloud apps taught me reliability. Semiconductors taught me scale.
GlobalFoundries · Contractor
Internal web apps and analytics for semiconductor manufacturing. Staging and production, Perforce and Git, datasets measured in millions of records.
Two years of manufacturing data. Then the stack got wider.
Teton Private Ltd. · Dhaka
Software Engineer II. React, Node.js, Django, Laravel, Python — and TensorFlow models for predictive analytics, wired into Django REST so the dashboard could show what the model saw.
Models in production. Next: agents that act on their own.
Synopsys · Contractor · via Teton
PinCheck Dashboard: a Python QA scoreboard that replaced spreadsheets for pin-interface validation — YAML parsers, Perl reruns, SQLite snapshots, ~96 hours saved per release. In parallel, LangChain agents that watch e-commerce deals and fire alerts on their own.
Seven years in: full-stack, ML in production, and agents that ship.
03 Toolkit
The tools I use to build, train, deploy and operate — from a React screen to a TensorFlow model behind Django REST.
22 tools · 4 disciplines
04 Featured Work
QA dashboards, e-commerce, demand forecasting, agentic systems, semiconductor analytics — each a different stack, one practice.
05 Experience
Dhaka, Bangladesh
What I worked on
Architect and deliver scalable, data-driven web applications across React, Node.js, Django, Laravel, and Python — including TensorFlow models in production.
Impact
Production ML inference in Django REST, powering data dashboards for operations teams
Tools & skills
Remote · Client engagement
What I worked on
Built the PinCheck Dashboard, a Python QA scoreboard that replaced manual pin-interface validation tracking for semiconductor engineering teams.
Impact
Targeted 50% review-quality gain · ~96 engineering hours saved per release across 12 projects
Tools & skills
Remote · Client engagement
What I worked on
Developed, configured, and maintained internal web applications and data analytics tools for semiconductor manufacturing.
Impact
Internal analytics tools in production across staging and live environments
Tools & skills
Dhaka, Bangladesh
What I worked on
Developed cloud-based enterprise web applications — employee attendance tracking and housing management portals — using React, Node.js, and Express.
Impact
Faster data retrieval and more reliable enterprise portals
Tools & skills
Dhaka, Bangladesh
What I worked on
Built a frontend for bulk SMS delivery and configured a Raspberry Pi with a GSM module for automated cellular message broadcasting.
Impact
Working hardware-software pipeline for automated SMS broadcasting
Tools & skills
06 Education
Degree, production ML, agentic systems, and the full-stack practice underneath the work.
Skills
Skills
Skills
Skills
Skills
07 The Archive
The people, moments and experiences that shaped the work behind the screen.
08 Let’s Connect
I’m open to software engineering roles, collaborations and good conversations — full-stack, ML, agentic systems. If you’re building something that has to run, I’d like to hear about it.
