Nazmul Huda Nabil
AI Engineer building intelligent, production-ready AI systems.
I specialize in NLP, LLM applications, RAG, AI agents, and backend AI engineering, turning AI research and models into reliable, deployable applications.
About Me
I am an AI Engineer focused on building systems that can actually be deployed and used.
My strongest area is NLP and LLM applications, where I build production-oriented backend systems, including Agentic and RAG systems. I care deeply about the entire lifecycle of an AI product—from evaluation and security to observability and deployment.
I don't just build machine learning notebooks; I turn AI models into reliable, deployable applications.
Featured Projects
AI Resume Screening Platform
AI-powered candidate screening and ranking platform that combines semantic search with rule-based evaluation to produce explainable candidate-job matching.
BRAC University AI Assistant
An Agentic RAG-based AI assistant designed to answer university-related questions using grounded information from university documents and web sources.
Production-Ready LangGraph API
A production-oriented LLM API designed around reliability, security, observability, caching and model fallback.
PricePilot
Machine-learning powered car price prediction API built with FastAPI and deployed as a production inference service.
Skills & Technologies
AI Engineering
NLP
Machine Learning
Backend
Data & Retrieval
Infrastructure
AI Evaluation
How I evaluate AI systems
- Retrieval quality
- Answer correctness
- Faithfulness
- Relevance
- Groundedness
- End-to-end task success
- Latency
- Token usage
- Error rate
Evaluation Tooling
Education & Learning
AI Engineering Bootcamp
Diploma in Computer Science
Open Source & Code
Explore my implementations, experiments and production-oriented AI projects.
AI Resume Screening Platform
Python · FastAPI · Qdrant · LLM
Production LangGraph API
Python · LangGraph · FastAPI · Docker
BRAC University AI Assistant
RAG · LangGraph · Qdrant · LLM
Let's Build Something Intelligent.
I'm interested in AI engineering, NLP, LLM applications, RAG and backend AI opportunities.