Professional Overview
Agentic AI Lead Engineer with 15+ years of experience specialized in architecting solution, development and project management in Trade surveillance, Anti Money Laundering domain using Agentic AI, Python, Big Data, Actimize technical stack using Agentic Frameworks, LLM orchestration, memory management, RAG systems resulting operational efficiency
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed single Agent using for SAR text summarization using LangChain
- Architected and developed Multi Agent AI system
- Developed RAG pipeline using LlamaIndex
- Architecture Data flow in AML solution using python (Pandas, Polars, Boto3)
- Migration project from legacy system to new ecosystem using Python
Key Achievements / KPIs
- Due to SAR Summarization 40% manual activity is reduced
- Data flow an entire Informatica layer is removed and save cost, infrastructure
Education
Field of Study: Engineering
Field of Study: Engineering
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.