Open to AI/ML and data roles
I build generative-AI applications and multi-agent systems, and turn messy datasets into decisions people can act on.
Where I'm coming from and what I'm working on.
I'm a fresher with a strong interest in artificial intelligence, machine learning and data analytics. My work spans the full data lifecycle - from cleaning and visualising complex datasets to building scalable applications on top of generative AI.
I focus on intelligent systems built with frameworks like LangChain and CrewAI, backed by analysis in SQL, Tableau and Power BI. The part I enjoy most is translating raw data into insights people actually use.
Right now I'm exploring agentic AI - orchestrating workflows with CrewAI and the Model Context Protocol to build systems that can run on their own.
Tools and frameworks I've built with.
Three things I've shipped recently.
A multi-agent system built with CrewAI that runs real-time market research and produces a full go-to-market plan from a single prompt. Pydantic enforces the output schema, so SEO blogs, social calendars and video scripts come back API-ready.
A reasoning engine built on LangChain that routes each query to the right source - live web search, arXiv or Wikipedia - based on context. A just-in-time RAG pipeline vectorises any URL you paste for instant Q&A, with Groq handling inference.
A Power BI dashboard analysing loan distribution, borrower demographics and default patterns. It surfaces high-risk segments by credit score, income and employment type so lenders can see where their exposure actually sits.