- Innovative aspiring AI Engineer with 15+ years of experience.
- Specialising in foundation model implementation, RAG systems, and LLM-based solution development.

🚀 Featured Projects
AI Agent for Knowledge Retrieval
Client: Europe's Biggest Tourism Company
Stack: Amazon Bedrock, Cohere, ElasticSearch, Next.js, Python, AWS Services
Impact: Led a team of 3 to develop an AI agent that sits atop client's knowledge base using foundation models (Amazon Bedrock - Claude, Cohere) that improved knowledge retrieval efficiency by 70% through advanced RAG techniques, limited web search capabilities, and efficient chunking and embedding strategies.
Customer Interaction Management System (Multi-lingual)
Client: Europe's Biggest Tourism Company
Stack: Amazon Bedrock, Cohere, ElasticSearch, Next.js, AWS Services
Innovations: Ideated, pitched to leadership, and implemented an LLM-powered customer interaction management solution for customer support teams which summarises customer emails and drafts responses. Enhanced with multi-lingual support enabling agents to work across language barriers, resulting in 50% faster average handling time using Generated Knowledge Prompting.
💻 Technical Skills
- LLM platforms: Amazon Bedrock, Anthropic, Cohere
- LLM concepts: RAG, Prompt Engineering, AI Agents
- Programming: Node.js, TypeScript, React, Python
- VectorDB & DB: ElasticSearch, DynamoDB, MongoDB, Redis