Professional Overview
Machine Learning Engineer with an MS in CS and 4+ years of experience in software engineering and AI. Passionate about building AI systems that improve patient care and simplify lives, rapidly prototype end-to-end solutions, and run structured evaluations to guide platform decisions. Strong in Python, Deep Learning, GenAI, MLOps, and AWS. Comfortable working across the stack: data preprocessing, model integration, CI/CD, cloud deployment
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
