Jun 2024 – Sep 2024 · 3 mos · Gurugram, Haryana, India · On-site

• Boosted machine learning pipeline accuracy by 42% by leading 12-member team of engineers and analysts
• Conceived and led development to convert unstructured news data into structured data, cutting manual processing by 95%

Oct 2023 – Mar 2024 · 5 mos · Austin, Texas, United States · Remote

• Spearheaded sourcing of 50+ companies, identifying 15 impactful opportunities; conducted due diligence—competitive analysis, financial modeling and risk assessment; presented $500K investment thesis at finals.

Jun 2023 – Aug 2023 · 2 mos · Mountain View, California, United States · On-site

• Conducted 15+ customer interviews, translating insights into product requirements; successfully pitched project’s vision to secure executive support for the app that revamped sprint tasks’ estimation process, improving accuracy by 21% for 500+ teams
• Led cross-functional team of four to design, develop and launch the app, saving 75,000 FTE hours/yr

Jan 2022 – Jul 2022 · 6 mos · Seattle, Washington, United States

• Led team of four engineers to decrease cloud applications’ load time by 33%; collaborated with product team to develop roadmap and supervised complete software development life cycle
• Coordinated with 160+ application teams and facilitated implementation of conceptualized code changes by conducting office hours and creating onboarding guides; increased revenue by $25M/yr via 26% higher conversion rate

Feb 2020 – Dec 2021 · 1 yr 10 mos · Seattle, Washington, United States

• Conceived and launched bias-reducing recruitment app; pitched app to HR team and collaborated with three hiring managers to pilot app for five months; increased number of applications from diverse candidates by 9% and interview invitation rate by 22%
• Designed machine learning model for intrusion detection in cloud systems; achieved 95% efficacy and cut security costs by $1M/yr
• Collaborated cross-functionally to design system that reduced time spent by users to submit and manage support requests by 30%
• Revamped telemetry service, scaling service by 5x and reducing churn by 5% via 4x faster resolution of sign-in/up related incidents
• Mentored five new teammates and introduced new employee training process, reducing onboarding time by 67%

Jun 2019 – Aug 2019 · 2 mos · Manhattan, New York, United States · On-site

• Prioritized feature list after gathering requirements from brokers, developed product roadmap and designed application for post-trade reconciliation; reduced time to resolve trade breaks from one day (T+1) to same day (T+0)
• Collaborated with compliance org and prototyped system to mitigate regulatory risks in consumer data in-house, saving $1.2M/yr

Jun 2016 – Jun 2018 · 2 yrs · New Delhi, Delhi, India · On-site

• Owned end-to-end development of web-and-social data products; conceptualized, designed and implemented features in cross-functional groups; products featured in top finance magazines such as Deloitte Insights and Barron’s, boosting leads by 200%
• Invented machine learning algorithm to collect data from financial statements, saving 70% in manual data-entry cost; developed product roadmap and coordinated software’s implementation among three engineers, increasing revenue by $13M/yr
• Spearheaded initiative to add automated tests to Sentieo’s platform by training and supervising the quality assurance team on writing automated tests, decreasing customer impacting incidents by 30%
• Designed systems to collect and process data from 10+ external sources, developed regression models to reduce these datasets into a single time series, defined over five metrics to gauge model’s performance and built interface to visualize data patterns

Jun 2015 – Jul 2015 · 1 mo · New Delhi, Delhi, India · On-site

• Built a new feature into the platform used by the operations team to onboard local store owners who assisted with last-mile deliveries, reducing the time to onboard a store by 95%, from 15 min/store to 45 secs/store