Professional Overview
A dynamic and highly effective with 3+ years of high-impact experience, specializing in the design and deployment of Python and Generative AI solutions that deliver measurable business results. Proven ability to execute end-to-end development cycles for intelligent systems, focused on efficiency, scalability, and cost
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Designed and implemented AI-driven solutions to improve business processes.
- Built asynchronous REST APIs for chatbot applications with SQL and MongoDB integ
- Implemented multi-agent orchestration with Azure AI Foundry & Copilot Studio, in
- Optimized Retrieval Augmented Generation (RAG) pipelines with advanced chunking
- Deployed scalable services on Azure App Functions for serverless compute.
Key Achievements / KPIs
- Reduced token usage and token cost by 20% using advanced prompt engineering.
- Build scalable Backend APIs to handle 10,000+ requests per day in FastAPI.
- Cut ticket resolution time by 90% with ticket resolution AI Agent.
- Improved AI agent accuracy by 15% in Multi agentic systems.
Education
Field of Study: Computer Science and 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.
