Hi, I'm

Tanvir Ahmod

AI Backend Engineer

I build production-grade AI systems, automated chatbots, and scalable backend services with RAG, MCP tool orchestration, vector databases, and API-first architecture.

Explore my projects

About

Open to work

I'm Tanvir Ahmod, an AI Backend Engineer focused on intelligent backend systems, chatbot infrastructure, and scalable AI application development.

I specialize in Retrieval-Augmented Generation (RAG), MCP-based orchestration, vector search, and FastAPI services to build practical AI products that solve real-world problems. I'm open to full-time and contract opportunities (onsite / remote).

339 contributions in 2025 on GitHub.

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Tools & Technologies

My stack centers on AI backend engineering, retrieval systems, APIs, and full-stack product delivery.

Java

Python

JavaScript

TypeScript

Swift

Kotlin

Dart

LangChain

LangGraph

MCP

TensorFlow

PyTorch

Keras

scikit-learn

NumPy

Pandas

FastAPI

Node.js

Tailwind CSS

PostgreSQL

MySQL

MongoDB

Redis

Supabase

Firebase

Qdrant

Pinecone

Git

Docker

Jupyter

Experience

AI Backend Engineer
Saratech Ltd•Full-time
Dec 2024 - Present
Dec 2024 - Present
Developed production-ready AI backend systems and chatbot infrastructure using FastAPI, LangChain, and LangGraph.

Built and maintained Ulka Chat, implementing RAG-based retrieval pipelines, vector search workflows, and context-aware response generation.

Integrated MCP, Qdrant, and LLM-based services with scalable API architecture and modular tool orchestration.
- Python
- FastAPI
- RAG
- MCP
- LangChain
- LangGraph
- Qdrant
Research and Development Wing Member
IEEE CS — SEU Student Branch Chapter•Volunteer
2025 - Present
2025 - Present

Education

Southeast University
B.Sc. in Computer Science & Engineering · CGPA: 3.90
Oct 2022 - Oct 2026
Rajshahi Education Board Govt College
Higher Secondary Certificate (HSC)
Apr 2021 - Present

Projects

Ulka Chat

Production-ready AI chatbot backend at Saratech Ltd — RAG pipelines and vector search over Qdrant, with MCP-based tool orchestration and scalable FastAPI services.

Python
FastAPI
RAG
MCP
LangChain
LangGraph
Qdrant

Live Demo

FactDrop

Agentic RAG fact-checker where AI agents plan searches, gather multi-source evidence via a custom MCP server, and trust-score every source to produce explainable verdicts — with Bangla–English support.

Next.js
TypeScript
PostgreSQL
Agentic RAG
MCP
LLMs

Live Demo

Memma Logistics Hub

SSR React 19 marketing site for a Bangladesh logistics company on TanStack Start, with a hardened single-table Supabase pipeline (RLS insert-only) for secure quote-request submissions.

TanStack Start
React
TypeScript
Tailwind CSS
Supabase

Live Demo

CampusMate AI

AI assistant for Southeast University with contextual RAG, tool-calling chatbot workflows, and structured knowledge pipelines for accurate, context-aware student support.

Contextual RAG
Python
FastAPI
Pinecone
PostgreSQL

Live Demo

Punji

Flutter finance app for expense tracking, budgeting, and shared expenses with relational expense partners — plus an AI chatbot for money-management assistance.