Professional Overview
AI/ML Engineer specializing in Generative AI, Agentic AI systems, and LLM-based applications. Experienced in designing multi-agent workflows, RAG pipelines, vector databases, and deploying scalable AI services using FastAPI, Docker, and Kubernetes, with hands-on experience building production-grade AI solutions.
Experience
AI Expertise
Skills
Employment Type
Education
Field of Study: Machine learning, Generative AI, MLOps, Neural Networks, Reinforcement learning
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.
