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FastAPI · Celery · React 19 · LLM · Aircall · Salesforce
Available for hire · any time zone
Backend & applied AI · Dhaka · UTC+6
I build scalable backend systems, retrieval pipelines, and production AI infrastructure.
Associate Software Engineer at RoBenDevs · B.Sc. in Computer Science from KUET. Focused on high-throughput queues, RAG architectures, and microservices.
Systems I have shipped
Backend services, retrieval pipelines and agent systems. Each links to a write-up covering the architecture, the constraint, and what I would change.
One story, every paper, one neutral summary.
Nirpekha Barta: AI Unbiased News Aggregation
Clusters one story across politically diverse Bangladeshi papers, scores each source's bias, publishes a neutral Bangla summary.
Next.js 14 · FastAPI · Celery · LangChain · PostgreSQL · Redis
There is no write path to find.
MCP Servers Monorepo
Self-contained MCP servers, including a database-agnostic read-only SQL server that turns plain English into guarded queries.
TypeScript · Model Context Protocol · Node.js
It checks its own answer before returning it.
LocalLens: Conversational AI Agent
A LangGraph multi-agent system that answers questions about places by searching, reading reviews, and fact-checking its own summary.
Python · LangGraph · LangChain · FastAPI · Playwright
Nothing leaves the machine.
RAG Docs Assistant
Documentation Q&A that crawls docs or ingests PDF/DOCX/HTML and answers from a local LLM. No external API, nothing leaves the machine.
Python · FastAPI · PostgreSQL · pgvector · Ollama · Docker
I work on the parts of AI products that are not the model — the queues, the retrieval layer, the guard rails, and the operational plumbing that decides whether any of it survives contact with production.
Sk. Azraf Sami · Dhaka, Bangladesh
What I work with
Backend & Services
- TypeScript
- Python
- NestJS
- FastAPI
- Node.js
- Express
- Django
- gRPC
- Socket.IO
- RabbitMQ
- Celery
Databases & Vector Search
- PostgreSQL
- pgvector
- Redis
- MongoDB
- MySQL
- MSSQL
- D1 / SQLite
Applied AI & ML
- RAG architectures
- LangChain
- LangGraph
- Ollama
- Model Context Protocol
- Whisper STT
- Embeddings & vector search
- OCR pipelines
DevOps & Infrastructure
- Docker
- Kubernetes
- Cloudflare Workers
- Nginx
- CI/CD
- Git
Frontend & Interfaces
- React
- Next.js
- Astro
- Redux Toolkit
- RTK Query
- Tailwind
Where I have worked
RoBenDevs
May 2025 – Present · 1 yr 4 mos- Associate Software EngineerSep 2025 – Present · 1 yr
- Software Engineer InternMay 2025 – Sep 2025 · 5 mos
Bit2Byte
- Vice PresidentJan 2024 – Aug 2025 · 1 yr 8 mos
Ostad
- Teaching AssistantFeb 2025 – Jul 2025 · 6 mos
BitFest
- Head of Management (Datathon)Jun 2024 – Jan 2025 · 8 mos
Credentials & recognition
Certificates
- Kubernetes, CI/CD, Linux and DevOps fundamentals — KodeKloud, Simplilearn
- REST API, SQL, React and Problem Solving — HackerRank
- Fundamentals of MCP — Hugging Face
Honours
- Rising Royal Award, RoBenDevsQ1 2026
- Runners-up, Infinity AI BuildFest (InfoTech), CloudCamp BD2026
- 4th of 120+ teams, National Datathon, Khulna University2024
Recent writing
Engineering notes on databases, retrieval and the parts of production that only show up under load.
Inside PostgreSQL: The Journey of a Query Through the Engine
A user adds a product to a cart, hits checkout, the payment clears, and your backend fires one small query at PostgreSQL. From the outside it looks…
Read on the LogbookAdding a Column to a 300-Million-Row Table Without Downtime
"How would you add a new column to a table with 300 million rows that is being read and written 24/7, without any downtime?" This is a classic…
Read on the LogbookRAG from Beginner to Expert: Retrieval Architectures for 2026
Retrieval Augmented Generation (RAG) is the technique of giving a Large Language Model (LLM) access to knowledge it was never trained on — your PDFs…
Read on the Logbook
Available for hire · any time zone
Let's build something scalable.
Open to backend and applied-AI roles. Based in Dhaka, Bangladesh (UTC+6) and I work across any time zone.
contactazrafme