Working with an awesome team on building a payments infra for web3Backed by some of the top VCs in fintech and gaming.Raised ~$3M ( ₹20 cr ) from Lumikai, Antler, StellarisVP, AllianceDAO, hypersphere.Selected in prestigious YC W23 batch. Part of Alliance ALL-10 batch.

Wore in different hats for wide-ranging projects: 1. Worked on developing the platform for intuit's workflow engine. Worked across highly scalable infra to deliver a seamless experience to QuickBooks and TurboTax users.2. Delivered the first ML-feature in QBO-Advanced to improve Mid-markets' cash-flow, built a point-estimator model to analyze customers' propensity to pay.3. Worked as a react and java developer in various roles in QBO-Advanced. Worked on various spring-boot/graphql based projects alongside react/typescript/redux/apollo.io for frontend development.4. Led security & encryption of millions of records while AWS migration of Intuitmarket.com.5. Worked in the acquisition and intelligence team responsible for analyzing possible collaborations and acquisitions. Built different regression/correlational models for the same.

1. Correlations.AI powered actionable insights, feedback prioritization and intelligent classification for companies receiving large volumes of feedback data over multi-modal channels ( play store / AppStore / Twitter / surveys ) 2. Worked with product teams including Khatabook, OkCredit, Unacademy, Testbook, JioSaavn and many more..3. Worked on charting-UI ( react / d3js ) along with co-authoring python backend for continuous scraping of feedback data and training of big-data machine learning models. 4. Worked on expanding the enterprise userbase of correlations.ai to 5+ enterprises.5. Tool acquired and merged with Intuit ecosystem.

1) Led multi-modal scene-segmentation for movies and news-clips. 2) Worked on various clustering models, face-frontalization methods, and decision-tree models for scene-segmentation.

Continuing into my senior year, I conducted research under Prof. Chetan Arora at IIT Delhi, segmenting scenes in egocentric videos using unsupervised methods based on non-parametric clustering techniques for temporal segmentation and continuous optimization of clustering loss using deep-learning methods

Working on egocentric perceptions, indexing first-person videos and third-person videos using audio.1) Worked on scene-identification using audio.2) Incorportated audio-diarization/audio-separation/speaker-identification into a single pipeline for audio based visual indexing.

Wanted to try out something different, wrote and published various economics article : 1) Wrote my own economics paper during this period. 2) Worked on various economics/business articles that were published under Indian Economist now Qrius.

Worked under Next Billion Users Team and built a Bill Notification System for UPI based payment app "Tez".1) Worked in NBU-paisa responsible for the auto-payment generation of common-utility bills.2) Worked on encrypted-email-extraction, distributed systems, map-reduce.

1) Worked as a developer to develop Contest Reminder App (NSIT-CONNECT) module for the app so that no one misses out on upcoming and ongoing programming contests.2) Worked on android, integration of calendar-api's and was my first step towards development.

1) Worked as Contributor in Scholar For Change Campaign; Made Educational content for studentsof weaker economic sections in their native languages.