@media (max-width: 768px) { nav { padding: 1rem 1.5rem; } .nav-links { display: none; } section, .hero { padding: 4rem 1.5rem; } #about { grid-template-columns: 1fr; gap: 3rem; } .hero-stats { gap: 2rem; flex-wrap: wrap; } .blog-item { grid-template-columns: 1fr; gap: 0.5rem; } .blog-arrow { display: none; } .form-row { grid-template-columns: 1fr; } .about-accent-box { right: 0; } }
Financial Analyst · AI Engineer · Fintech Builder
3+ years inside buy-side operations gave me a clear view of where the workflow breaks. Now I build AI systems that automate the repetitive, surface the critical, and close the gap between what analysts need and what technology actually delivers — shipping agentic tools and fintech infrastructure that trading teams can adopt, verify, and trust.
I spent 2 years at the UW–Madison School of Computer, Data & Information Sciences, partnering with industry leaders to build agentic AI systems that reduced analysis lifecycles and accelerated decision-making.
Before that, I was a hedge fund analyst for 3 years – leading portfolio analyses, trade operations, and reporting for buy-side firms. I've built T+1 settlement tools, automated growing operational workflows using AI frameworks, and driven practical adoption across trading desk teams. Deep OEMS/PMS knowledge meets a full technical stack.

AI-driven system to document MS Dynamics 365 ERP data at scale — saving months of analyst time through agent-run ETL pipelines and conversational Copilot Studio agents.
Read case study
A structured AI research agent that enforces a mandatory 7-step data pipeline — live quotes, technicals, options chain, filings, and cross-signal synthesis — before forming any view.
Read case study
An Azure AI Foundry workflow that turns raw manufacturing process data into leadership-ready capability assessments — enforcing stability checks before any interpretation, grounded in internal standards via RAG.
Read case study
A citation-grounded RAG chatbot over 50+ scholarly articles on AI's energy and water footprint — evaluated on retrieval precision, numerical accuracy, and citation faithfulness, with an honest fallback when evidence is missing.
Read case study
Statistical analysis of 580 Premier League players using Python, combined with an Azure AI Prompt Flow that generates LLM-driven SWOT reports for coaches, analysts, and journalists.
Read case studyThree years in a drama club — scripting, directing, acting. Our most memorable chapter: finishing third out of twenty at ACTFest Rangmanch 2019, performing Sharad Joshi's timeless satirical classic, एक था गधा.
I am a spiritual person who follows Jainism. In August of 2017, I did what's called an Atthai — a completely optional, voluntary practice — and what I didn't fully appreciate at the time was how defining it would become.
Back in 2020, while working at Jio Creative Labs, my team and I created a new IP called Comics for Change — a live comedy event with a purpose. The idea was simple but ambitious: invite top stand-up comedians to perform sets tied to the UN's Sustainable Development Goals.
Kalsubai. Standing at 5,400 feet above sea level, it is the highest peak in Maharashtra — affectionately known as the "Everest of Maharashtra." In July 2019, my roommates and I decided we were going to climb it.
Whether you're looking to automate a trading workflow, build a financial AI system, or just want to talk fintech and agentic AI — I'd love to hear from you.