- π Computer Science graduate from BRAC University
- π€ Former AI Agent & LLM Intern @ Mevrik β built autonomous AI agents, real-time voice agents, and production RAG pipelines
- π§ Specialized in LLM-powered applications, multi-agent systems, and agentic workflow automation
- π Hands-on with Hybrid Search (BM25 + Vector), Cross-Encoder Reranking, and Vector Databases (Pinecone, ChromaDB, Redis)
- βοΈ Experienced in FastAPI, LangGraph, CrewAI, and n8n Workflow Automation
- π³ Proficient in Docker, AWS, and deploying scalable, containerized backend services
- π¦ Currently completing an AI Engineering Bootcamp (Ostad) focused on Agentic AI, RAG reliability, and SLM fine-tuning
π€ LLM & Agentic AI
π RAG Β· Vector DBs Β· Evaluation
π§ ML & Data Science
π» Languages
βοΈ Backend & Automation
π Frontend
βοΈ DevOps & Cloud
ποΈ Databases
- π₯ 3rd Place β TechSpectra Soccer Bot Competition (Robotics Club of BRAC University)
- π 5th Place β IUBAT Soccer Bot Competition
- π€ Secretary, IT Department β Robotics Club of BRAC University (Feb 2024 β June 2025)
- Managed IT operations for workshops, events, and robotics competitions; led an Arduino-based soccer robot project
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β Associate AI Engineer for Developers β DataCamp (Completed)
- 26-hour specialized track covering OpenAI & Hugging Face APIs, prompt tuning, context windows, semantic architectures, and software design patterns for AI-native applications
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π― AI Engineering Bootcamp β Ostad (In Progress)
- Specializing in Agentic AI Β· Advanced RAG Reliability Β· Hybrid Search Β· Cross-Encoder Reranking Β· SLM Fine-Tuning Β· Ragas Β· TruLens
My goal is to become a skilled AI Engineer by combining strong backend engineering expertise with LLM integration, multi-agent systems, and production RAG pipelines β contributing to impactful and scalable AI-powered products.
β If you like my work, feel free to star repositories and connect with me.
