* Developed a content generation engine by scrapping news articles, prompting GPT-4 through custom and asynchronously run LLM chains using LangChain, async Django and Postgres to create an engaging user feed and ask relevant opinion poll questions to generate sentiment insight

* Led a 5-person cross-functional engineering team in launching an aggregated consumer spending insights product on public companies using BigQuery, GCS, Plaid, Redis and SwiftUI that increased daily active users by ~20%

* Led multiple product launches that involved customer interviews, designing the software architecture, the GTM strategy, success metrics, experiments as well as collaboration with legal, compliance and senior leadership

* Held weekly one-on-ones with 2-4 direct reports for technical and interpersonal problem solving as well as navigating career growth opportunities

* Developed an intraday portfolio performance graph by gathering minutely prices for 10,000 securities from IEX using server-side events in Python, internally processing transactions and propagating to mobile clients via Firebase Realtime Database

* Implemented a React app where users stake and earn tokens on the Ethereum blockchain for predicting sentiment reactions about public companies using Django, Infura, Google Pub/Sub, Solidity and TypeScript. The app garnered the highest stickiness rate of the platform

Co-developed a weekly sweepstakes with a $10 million jackpot, which generated ~500,000 tickets every week using Django and Celery. The feature doubled new user sign ups through its referral rewards mechanism