Machine Learning
Supervised & unsupervised learning, model selection, feature engineering, and pipeline optimization.
Machine Learning Engineer • RAG Systems • AI Agents
I design and deploy machine learning systems that solve real-world problems. My work focuses on Retrieval-Augmented Generation (RAG), scalable ML pipelines, and building AI systems that are reliable, efficient, and production-ready— not just experimental models.
Core competencies across machine learning, retrieval-augmented generation, and MLOps.
Supervised & unsupervised learning, model selection, feature engineering, and pipeline optimization.
Neural network architectures, transfer learning, NLP transformers, and computer vision models.
Retrieval-augmented generation systems with vector databases, embeddings, and chunking strategies.
Autonomous agents with tool use, reasoning chains, and multi-step task execution capabilities.
Tokenization, sequence models, machine translation, text classification, and sentiment analysis.
Model serving, API development, containerization, and end-to-end ML lifecycle management.
A selection of ML and AI projects spanning NLP, prediction, education, and agentic systems.
01
A comprehensive library management platform with intelligent book recommendation, automated cataloging, and analytics dashboard for tracking borrowing patterns and inventory optimization.
02
Built a transformer-based sequence-to-sequence model for multilingual translation using attention mechanisms.
03
Used feature engineering and ensemble models to predict survival with high accuracy.
04
NLP system that detects student misunderstanding using fine-tuned transformers.
05
Multi-tool AI agent with RAG, search, and reasoning capabilities for complex task solving.
Interested in collaborating on ML projects, RAG systems, or AI agent development? I'd love to hear from you.
istiaqmahmud03@email.com