Professional Overview
AI/ML professional with practical experience delivering end-to-end intelligent solutions. Currently working on agentic AI workflows using LangGraph, designing and orchestrating multi-agent systems for autonomous problem-solving. Possess solid expertise in Natural Language Processing and Computer Vision, with a track record of applying advanced models to build scalable, high-impact applications.
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
