Professional Overview
Senior AI Engineer with 10+ years of experience building enterprise AI systems, LLM applications, recommendation platforms, and distributed ML pipelines. Specialized in Agentic AI, RAG, LLMOps, and large-scale PySpark systems processing billions of records. Experienced delivering production AI solutions across retail, insurance, logistics, and ente
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Design, build, and deploy production-grade AI agents and multi-agent workflows.
- Lead the development, evaluation, and fine-tuning of RAG systems and LLMs.
Education
Field of Study: Data Science & Engineering
Field of Study: Electrical & Electronics
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
