Itrat Rahman is a Senior Data Scientist and AI Engineer with a decade of experience building production-grade ML systems spanning computer vision, NLP, LLMs, GenAI and agentic AI. Based in New York, she has led end-to-end projects from OCR and face recognition to RAG-based agentic chatbots and multimodal resume-ranking systems, consistently turning research techniques (LoRA/QLoRA, contrastive CLIP-style training) into deployed products. Her work blends practical engineering—data pipelines, Docker/FastAPI deployments, and GCP/Azure integration—with research-minded model tuning and clustering for real-world signals like resume segmentation and user churn. Notably, she has improved operational productivity across enterprises (5–10x gains in literature review and analyst workflows) and built robust solutions for underrepresented datasets, achieving near-state-of-the-art accuracies in constrained settings. Educated at UCL with numerous Coursera specializations, she also mentors teams and has a track record of shipping SaaS and on-prem solutions across fintech and industrial clients.
10 years of coding experience
9 years of employment as a software developer
Deep Learning Specialization Artificial Intelligence, Deep Learning Specialization Artificial Intelligence at Coursera
Ordinary Level & Advanced Level Primary & Secondary & College Education, Ordinary Level & Advanced Level Primary & Secondary & College Education at Dhanmondi Tutorial
This repository contains my machine learning projects on kaggle data.The jupyter notebooks here serve as excellent tutorials. I have embarked on a career as video course publisher. So these notebooks might end up as lesson materials.
Contributions:120 commits, 181 pushes, 1 branch in 11 months
Contributions:34 commits, 36 pushes, 2 branches in 1 month
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