AI/ML Engineer and Staff Software Engineer with 10+ years of experience in applied machine learning and high-scale distributed systems. Currently a Senior Software Engineer on the AI Platform team at Microsoft, Windows, where I fine-tune Small Language Models (SLMs) for intelligent automation and build RAG pipelines using Azure AI Search and vector embeddings. I specialize in LLM/SLM fine-tuning using QLoRA, LoRA, and PEFT techniques, achieving 88% priority and 90% severity accuracy across structured prediction tasks. My work includes designing zero-shot, few-shot, and chain-of-thought prompting strategies, building AI agents with GraphRAG and MCP frameworks, and engineering end-to-end ML data pipelines. Previously at Zscaler as a Staff Software Engineer, I architected a risk aggregation framework processing 2B+ security transactions per day at sub-100ms latency. I won the 2025 Hackathon for building a multi-stage AI agent using LLM, GraphRAG, and MCP for network policy management (patent pending), and am a co-inventor on a US patent for cloud security risk scoring. I hold a B.Tech in Computer Science Engineering and have worked across diverse tech stacks including Python, Java, Spring Boot, PyTorch, Transformers, Azure AI, AWS, Kafka, and Kubernetes. I am also LeetCode Certified, a 4-star System Designer on Grok Exponent, and passionate about mentoring aspiring engineers break into top tech companies.