Feb 2020 – May 2023 · 3 yrs 3 mos · Bengaluru, Karnataka, India

• Product Owner - No Code Risk Orchestration Platform (Prism)
• ★ Identified the need for Prism, a no-code and low-code risk orchestration platform which can act as a central source of truth about onboarding and compliance
• ★ Leading a team of 15 engineers and designers to develop & launch Prism, integrating over 50 independent risk & compliance signals into it.
• Product Manager - Risk & Fraud Intelligence API
• ★ Established & Led a team of 5 engineers to launch an all in one risk API to assess fraud during any part of the user Journey
• ★ Expanded product capabilities to cover email, phone, persona, device and behavioural risk in the process
• ★ Scaled the solution to serve over five enterprise customers
• Founding Engineer
• ★ Joined as the first employee and established an engineering team
• ★ Led a team of 3 engineers to launch One Tap Login to make OTP based logins redundant
• ★ Reduced login time by 60% affecting over 10 million logins across 10+ customers
• ★ Helped secure ISO certification by implementing best practices across security and DevOps

Jan 2019 – Dec 2019 · 11 mos · Greater Bengaluru Area

• ★Designed and developed the trading infrastructure with latency of less than 100ms with impact cost, stock quantity and volume optimisation in Golang
• ★ Scrapped multiple data sources and unorganised data and parsed it in machine readable format for data modelling
• ★ Wrote quantamental strategies to predict stock price movements over a small duration
• ★ Produced a combined return of annualised 100% over a period of 9 months with various uncorrelated signals

Jan 2017 – Nov 2018 · 1 yr 10 mos · Mumbai, Maharashtra, India

• ★ Started a company in college and got incubated and funded by SINE
• ★ Led the team from idea to execution of an automated customer service bot for enterprises in Python Django, MySql and Nginx Stack
• ★ Developed distributed fault-tolerant service API with a self-training machine learning model in a team of 3 people
• ★ Used python library NLTK to create and deploy scalable models for industries like Finance and Healthcare to serve 80% queries automatically
• ★ Used python scrappers and Elasticsearch to fetch real-time changes to the websites and answer new queries instantly
• ★ Integrated the solution with enterprise business intelligence solutions like Tableau to provide real-time insights to enterprise
• ★ Successfully sold and deployed products across more than ten large organisations in India, including the top 5 largest banks in India

Oct 2016 – Nov 2016 · 1 mo

• ★ Worked on developing and testing quantitative trading strategy.

May 2016 – Jul 2016 · 2 mos · Austin, Texas Metropolitan Area

• Worked at Indeed HQ in Austin, Tx USA.
• ★ Worked on a dynamic suggestions pipeline for the job posting companies.
• ★ Coded pipeline backend, ML in Java and front end in JS/HTML.
• ★ Completed and pushed into production the pipeline along with A/B testing in just over 2 months.
• ★ Got a return offer from Indeed.

May 2015 – Jul 2015 · 2 mos · New Delhi Area, India / Newyork

• Worked in American express in New Delhi, Banglore and New York Office as Intern.
• ★ Researched on a newly developed rule generation machine learning algorithm PRIM.
• ★ Coded the algorithm in Java.
• ★ Coded various test to check stability and performance of the algorithm on large data.
• ★ Showed a Phenomenal improvement in the results by ML algorithm compared to manual solutions
• ★ Presented the work to the CRO(chief risk officer) of American Express at their New York HQ.

Jul 2014 – May 2015 · 10 mos

• ★ Managing my Hostel Website.
• ★ Made election portal for the hostel in PHP and HTML.