RISK Points Program ↗
A protocol’s tokenomics and incentives designed from scratch, built to be positioned for a TGE.
For eight years my work has been getting complex financial products adopted, first in TradFi and now in DeFi. Taking a complex product to market usually needs a handful of specialists: someone who understands the finance behind the product, someone who can write well to demystify it, someone who designs, someone who can read the code and someone who measures whether it worked. I can do all of it myself, so the handoffs that slow most launches simply do not happen.
The finance came first. I studied economics, took a master’s in financial economics, cleared CFA Level 1 and spent a year at Moody’s researching derivatives, fixed income and equities for institutions. When DeFi opened those same markets to anyone with a wallet, I left the tidy world for the interesting one.
YieldFi taught me growth. Over four years I led product and GTM for the yUSD and vyUSD yield-bearing stablecoins across 10 chains to $75M in TVL, with a content engine behind a quarter of all sign-ups, a 140,000-member community and the habit of treating every channel as an economics problem first.
At The Risk Protocol, where I am the first marketing hire and head Product Marketing & Content, everything comes together. I coined the narrative that crypto has a missing Risk Layer and built the RiskFi category around it, from the litepaper to the analytics dashboards. I am leveraged because of AI. In the same week, I might work on the financial engineering of a new product, write the research that explains it, design the thumbnail and edit the video that teases it, and sit with our engineers to check the financial logic in the code. Our points program is what that looks like in practice: I wrote the math, drew the mockups and specified the database, and with our CEO, engineers and designers we shipped it in 10 days instead of the 30 to 45 it would otherwise have taken.
Away from work I trade, play tennis in the mornings and lift heavy, and I have an unquenchable curiosity about markets.

What 2X perps actually cost in funding, modeled in Python.

The case for RiskOFF, TRP’s flagship product, as collateral across DeFi; Python and Excel.

The crypto 60/40, with BTC and ETH as the 60 and RiskOFF as the 40; modeled in Python and Excel.

From fearing risk to exploiting it for alpha.
A protocol’s tokenomics and incentives designed from scratch, built to be positioned for a TGE.
A catalog of 53 prediction markets and three SMART Tokens, with examples of how each pays.
The study of every predecessor that failed, which allayed investor fears of backing a sector that does not work.
The model behind The Risk Protocol’s fundraise.
A fully collateralised weekly volatility pair, specified from payoff construction through settlement.

Six and a half years of daily BTC and ETH data, the full RiskOFF simulation, and a verification sheet for every result.
The crypto 60/40 simulated day by day, with every return, drawdown, and Sharpe ratio traceable to its source cell.
A five-year liquidity-provider simulation across ten volume levels, with hourly arbitrage, dynamic fees, epoch settlement, and 400 Monte Carlo runs.
Written end to end.
The protocol’s story told end to end, from option mechanics to token design.
Documentation for yUSD and vyUSD, written for users and integrators.
The terms and risk disclosures behind a multi-chain stablecoin.
First marketing hire. Category narrative, litepaper and docs, points and referral programs, community from zero, and the full analytics stack.
Product and GTM for yUSD and vyUSD, yield-bearing stablecoins, across 10 chains to $75M TVL and $500M volume.
Cross-asset research across derivatives, fixed income, and equities. Where the data habit comes from.
Gokhale Institute of Politics & Economics, Pune
CFA Institute, USA
University of Delhi, Motilal Nehru College
Product Management Certification