Hello, I'm
Building production-grade GenAI & Automation systems
I'm an AI Engineer passionate about turning complex data challenges into elegant, impactful solutions. With a strong foundation in Machine Learning, NLP, and Generative AI, I specialize in building intelligent systems that automate workflows, extract insights, and drive real business value.
From orchestrating multi-agent AI systems at Deloitte to building automation pipelines that saved 5,000+ man-hours/year at Network18, I bring a results-first approach to every problem I tackle. I focus on delivering measurable impact, resulting in $1.3M+ in estimated annual cost savings and an 85% reduction in manual effort.
When I'm not building AI tools, you'll find me writing about data science, exploring new LLM capabilities, or thinking about how to make complex systems more accessible.
Technologies and tools I use to build intelligent solutions
Types of intelligent systems and solutions I architect & deliver
Orchestrating autonomous LLM agents that analyze intent, delegate tasks, and compose responses in real-time — reducing response times from days to seconds and delivering $1.3M+ in annual savings.
End-to-end data pipelines that scrape, process, analyze, and report — eliminating manual intervention across departments with zero downtime.
Leveraging LLMs to analyze transcripts, identify high-engagement segments, and auto-generate clips — turning hours of manual editing into minutes.
Building conversational AI that chats with your documents, PDFs, and presentations — providing instant answers grounded in your proprietary data.
Real-time pipelines that scrape, extract entities, cluster topics, and surface market trends from hundreds of daily articles using transformer models.
Architected a production multi-agent system on Vertex AI Agent Engine using Google ADK to orchestrate customer support, delivering $1.3M+ in cost savings. Built a RAG-powered internal chatbot for semantic search on presentation libraries using ChromaDB and LangGraph.
Developed a Sales Intelligence RAG Platform and Enterprise Reporting Automation Pipelines saving 3,500+ man-hours annually. Engineered an AI Video Repurposing Engine reducing manual editing by ~85%, and built a Real-Time Financial News pipeline ingesting 600+ articles daily.
Specialized in Artificial Intelligence and Data Science, building a strong foundation in ML algorithms, deep learning, and applied AI. Exchange Programme at Nanyang Technological University (NTU), Singapore focusing on Deep Learning & Statistics.
Revamped Daily Progress Reporting with Google Data Studio and automated data ingestion. Led the design and implementation of a comprehensive steel pipeline network in Jaipur from surveys to construction.
Built the engineering fundamentals that fuel my systematic approach to problem solving.
Thoughts on Data Science, AI, and building intelligent systems
Loading articles from Medium...
Got an interesting problem to solve? Let's talk.