Md Anawrul Kabir Fahad
Mechanical engineering student and software engineer
I study Mechanical Engineering at CUET, and for over a year I worked on GPU platforms at Poridhi.io. I like problems where physics, data and software meet.
Software engineering CV (PDF) · Academic CV (PDF) · mdanawrulkabirfahad123@gmail.com
About
From May 2025 to July 2026 I worked at Poridhi.io. On AI Studio, which gives users GPU workspaces with Jupyter or VS Code, I developed the Next.js frontend and partnered with the team to move the platform from AWS to a Kubernetes cluster on the company GPU server. There, six users share 48 GB of GPU memory as isolated 8 GB slices, and starting a session went from 10–15 minutes to 3–5. On TensorCode, a browser platform for AI, GPU and kernel programming, I owned the frontend from the first version and co-developed TensorRAG, a visual tool for building ML training pipelines.
I study Mechanical Engineering at CUET. My thesis adapts a released physics-informed airfoil surrogate to conditions beyond its training range with low-rank updates, and measures what it forgets. Separately, I build machine-learning models of heat transfer for two low-GWP refrigerants and test them on operating conditions left out of training.
Experience
Junior Software Engineer, Poridhi.io (Jun 2025 – Jul 2026)
- Developed the Next.js frontend where users configure memory, GPU and editor (Jupyter, VS Code or custom) for each session.
- Partnered with the team to migrate the platform from AWS to a Kubernetes cluster on the company GPU server.
- Cut session launch time by about 70%, from 10–15 minutes to 3–5.
- Enabled six users to share 48 GB of VRAM at once by giving each an isolated 8 GB slice through HAMi.
- Brought the backend services, database and workflow engine online on the new cluster, each with its own access controls.
- Maintained and extended the earlier AWS version, which launched EC2 GPU instances on demand.
- Owned the frontend from the first version across coding problems, GPU courses and the browser IDE.
- Co-developed TensorRAG, a visual tool for building ML training pipelines from Python steps and running them step by step.
- Created the workflow that brings lab and problem content from GitHub into the platform.
- Connected the frontend to the service that runs user code on GPUs and managed its Kubernetes deployments.
- Contributed to an internal platform that provisions Kubernetes clusters on demand.
- Launched and maintained the Puku AI public website and internal admin tools and ran its subscription management.
- Onboarded and guided new interns, defining their first tasks and assigning project work.
Intern Software Engineer, Poridhi.io (May 2025 – Jun 2025)
Research
- Localized forgetting in PEFT (Manuscript under review): Adapting a released physics-informed airfoil surrogate beyond its training range with low-rank updates, and measuring what it forgets.
- R455A evaporation heat transfer, ML prediction (Manuscript under review): Machine-learning prediction of evaporation heat transfer of low-GWP refrigerant R455A in an industrial plate heat exchanger.
- R1336mzz(E) condensation, ML study (Manuscript under review): Machine-learning study of condensation heat transfer of low-GWP refrigerant R1336mzz(E) in an industrial plate heat exchanger.
Projects
- AI Studio: On-demand GPU environments for Jupyter and VS Code.
- TensorCode: Browser platform for AI, GPU and kernel programming.
- Break The Monolith Microservice Hackathon (Champion — Break The Monolith Hackathon (2025)): Microservices ride-sharing platform, built for Break The Monolith (2025).
- API Avengers, Televerse 1.0 (Finalist · CUET Rising Team — API Avengers, Televerse 1.0, CUET (2025)): Donation backend with idempotent webhooks and async event handling, built for API Avengers (2025).
- AI Engineering Hackathon 2025: Intent-based product search with a quantized mini-LLM, BERT, and a full observability stack.
- Soccer Bot: Remote-controlled robot built for a robosoccer competition, 2022.
- Luca: Tourist guide platform with role-based guest/host/admin dashboards.
- Sitemark: Blog platform with a Node REST API, filters, and live comments.
- Craftpaper: Craft-item e-commerce site with Firebase authentication.
Education
B.Sc. in Mechanical Engineering, Chittagong University of Engineering & Technology (CUET) (Apr 2022 – Present)
