I have always loved writing. This website is the product of that instinct finally finding a home.
A quick sketch of who I am — I'll go linear, because that's how it happened. B.Tech in Electrical and Electronics Engineering, followed by a stint at Infosys as a Business Intelligence Developer for American Express bank. Stable, respectable, and — if I'm being honest — a bit boring. My instinct from childhood was always UPSC, so I took that road for a while. Life happened, as it tends to. Somewhere along the way I discovered equity markets, started my own portfolio, gave CAT, and landed at IIM Trichy for my MBA — majors in Finance and Analytics.
The Internship That Wasn't Really One
The MBA came with one experience I didn't expect. My internship was at a management consulting firm — and I use that word loosely, because what happened there didn't feel much like a typical internship. I was guided directly by the firm's CEO, an ex-CFO of a major retail company, and was handed a real project: building an Operating Financial Model and presenting it to the CEO and CFO of a major finance company.
That kind of responsibility at that stage is rare, and I am genuinely grateful for the trust he placed in me. It shaped how I think about work.
What I'm Building Here
My interests sit across financial modelling, valuation, equity research, market analysis and portfolio management. More recently I've developed a serious interest in AI — specifically Agentic AI and LLM models. I had learned Python earlier but am now going much deeper and more systematically, because I think what's building in the agentic AI space is a genuine structural shift — one that will create real strategic leverage for industries and individuals who understand it early.
I'll be documenting that learning here, partly to stay accountable and partly because I don't trust myself to maintain a physical journal. My handwriting is, to put it diplomatically, illegible — and I owe a quiet apology to every professor who had to read my handwritten exam papers, particularly the later sections where the ink starts to look like abstract art. Thanks to systems thinking (two books that genuinely changed how I approach problems) and extensive use through assignments, I've also built a solid foundation in prompt engineering and applied Generative AI.
What You'll Find Here
An honest account of my MBA journey: what I learned, what I got wrong, and what I'd do differently. If you're currently doing an MBA or preparing for placements, I hope some of it saves you time and some of it saves you from mistakes I already made.
My running attempt to understand markets properly. Equity analysis, valuation work, AI-assisted versus traditional approaches, and eventually a sector-wise unit economics repository. I'm also building a public model portfolio — inspired by the way Bernstein releases theirs annually with full analysis. Mine will live in Google Sheets and launch soon.
Considered analysis of the policies and politics that shape business and strategy. My Strategy coursework deserves a longer shelf life than my exam answer sheets, and my Harvard Business Review monthly magazine learning needs to justify itself somewhere.
A live repository of my learning as I go deeper into the agentic AI space. Projects, frameworks, key articles, and honest assessments of what's actually useful versus what's just noise.
Can I sustain all four? I have time before joining the corporate world, I have the intention, and — perhaps most importantly — I have something to say. So yes. I will.