Professional Overview
Results-driven AI/ML Engineer specializing in Generative AI (RAG), Computer Vision, and MLOps. Expertise in architecting scalable systems using LangChain, LangGraph, and Vector DBs. Proficient in developing autonomous AI Agents using Google ADK and applying advanced Supervised/Unsupervised Machine Learning algorithms to complex problems. Proven track record of deploying end-to-end ML pipelines on AWS Kubernetes (EKS) with DVC, FastAPI, and Docker. Passionate about building production-ready AI solutions that bridge the gap between complex research and real-world application.
Areas of Expertise
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
