Building practical AI applications with LLMs, LangChain, CrewAI, FastAPI, and Retrieval-Augmented Generation (RAG). Skilled in Python-based ML workflows, AI agents, and production-ready APIs — currently seeking AI/ML Engineering or AI Automation internship opportunities.
Building agentic systems with LangChain, CrewAI, RAG pipelines, and multi-agent orchestration.
Model development with TensorFlow, PyTorch & Scikit-learn — classification, regression, clustering, and deep learning.
Shipping ML models as REST APIs with FastAPI/Flask, containerized with Docker, deployed on Vercel/Render.
Computer Science & Engineering — CGPA 3.55/4.00
Science — GPA 5.00/5.00
Science — GPA 4.89/5.00
Organized and supported DIU Job Utsob 2025, a university-wide career fair.
Assisted with event management, speaker coordination, and participant support.