Professional Overview
AI/ML Engineer building production LLM, RAG, NLP & GenAI systems. I've delivered AI solutions for numerous clients in the US & Europe; reducing manual effort by 60% and improved LLM accuracy by 23% through LoRA fine-tuning. Experienced in agentic AI, MLOps, PyTorch, Python, LangChain & Azure, with a focus on reliable, high-impact AI products
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Reduced manual reconciliation effort by 60% for BFSI clients
- Improved domain-specific LLM accuracy by 23% through targeted LoRA fine-tuning
- Cut documentation time by 60% by building an end-to-end real-time AI scribing
- Delivered production AI solutions across healthcare, banking & defense using LLM
- Automated complex document workflows using multi-agent GenAI
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Reduced manual reconciliation effort by 60% for BFSI clients
- Improved domain-specific LLM accuracy by 23% through targeted LoRA fine-tuning
- Cut documentation time by 60% by building an end-to-end real-time AI scribing
- Delivered production AI solutions across healthcare, banking & defense using LLM
- Automated complex document workflows using multi-agent GenAI
Education
Field of Study: Artificial Intelligence, 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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
