Beniamine Nahid

AI/ML Engineer with a B.Sc. in Software Engineering (major in Data Science), experienced in building end-to-end ML pipelines, RAG systems, and agentic AI applications. Skilled in Python, Flask, LangChain, and LangGraph, with hands-on expertise in NLP, LLMs, and open-source model deployment. Proficient in MLOps, CI/CD (GitHub Actions, DVC), Docker, and model monitoring using MLflow.

I am an AI/ML Engineer with experience in developing end-to-end ML pipelines, RAG systems, and agentic AI applications. My expertise includes building LLM-powered applications using LangChain, LangGraph, and open-source models, as well as deploying scalable solutions with Flask, FastAPI, Docker, and AWS. I have hands-on exposure to MLOps practices (CI/CD with GitHub Actions, model tracking with MLflow, and data versioning with DVC).

Through multiple projects, I have delivered AI-powered systems in domains such as healthcare symptom analysis, product recommendation, and vehicle insurance prediction, demonstrating my ability to take projects from prototype to production.

I hold a Bachelor of Science in Software Engineering with a major in Data Science from Daffodil International University, Dhaka (2021–2025). My coursework and academic projects provided strong foundations in statistics, machine learning, deep learning, and data-driven applications. In my final year thesis, I focused on Convolutional Neural Networks (CNNs) and Explainable AI (XAI), where I combined theoretical knowledge with practical implementation to produce research-oriented solutions.