Jul 2024 – Oct 2024 · 3 mos · New Delhi, Delhi

• Moved back to India
• Ate a lot of Indian food
• Met friends I hadn’t met for 5 years
• Got back into reading
• Slept like a log

Aug 2023 – Jul 2024 · 11 mos · San Francisco Bay Area · Hybrid

• Led product delivery engagements with Fortune 50 clients to implement, ensure success, and enable cross-sell of Eightfold products.

Aug 2021 – Aug 2023 · 2 yrs

• Analytics engine development and solution application project delivery:
• Led team of data scientists to deliver AI-based network optimization engine (including working with a GPT-4 plugin) and continuous optimization strategy to a Fortune 500 company with ~50 warehouses and ~$200M of logistics costs
• Designed and facilitated ~5 agile data baselining and hypothesis testing workshops with Directors and VP level stakeholders, leading to alignment on implementation plan for ~$30M worth of identified annual savings
• B2B SaaS Pricing & Packaging:
• Optimized list prices and redefined good, better, best packaging structure for a $10B+ SaaS co. aimed at realizing revenue uplift of ~3-7% and increased upsell / cross-sell across product suite, leveraging interviews, surveys, and internal sales data
• Collaborated with C-suite (Chief Technology Officer, Chief Transformation Officer) of a $30B+ health software co. designing hybrid subscription + consumption model by benchmarking against competitive price-to-value for improved price realization
• B2B SaaS – strategy & diligences (spanning DevOps / DevSecOps, Payments, Data platforms) for early / growth deals worth ~$10B, conducting 300+ interviews, 3 B2B surveys, and utilizing novel sources of data such as scraping open source repositories:
• Assessed expansion potential for a ~$3B DevSecOps company; articulating right to win with enterprise customers due to ability to manage env. fragmentation at scale across deployment environments, different micro-services, and programming languages
• Quantified ‘network effect’ for a two-sided vendor security assessment startup by customer archetype by surveying ~500 customers; lauded by CEO in strategy workshop with company post close of Series ‘B’ funding
• Assessed robustness of real estate data platform to different recession scenarios by conducting interviews with 50 customers, ~15 economic experts; resulting in quantified customer spend deltas w.r.t. different interest rate regimes

Jan 2021 – Mar 2021 · 2 mos · Palo Alto, California, United States

• • Developed investment thesis in the MLOps space; Added 5 Fortune 500 CxOs to Foundation Capital’s G2000 network; resulting in 7 enterprise deals under consideration; Led due diligence for potential series A investment

Jul 2020 – Oct 2020 · 3 mos · Seattle, Washington, United States

• Defined features, roadmap and incentives for a proposed product to increase utilization rates of compute infrastructure by AWS services by conducting 20+ customer and participant interviews to synthesize user needs
• Prototyped Automated Supportability Check feature for dependent services – reducing cycle time from 24 hours to ~ 15 minutes

Mar 2020 – Jul 2020 · 4 mos · India

• Led algorithm and data science vertical of startup/government consortium HQed in Prime Minister’s Office; Designed risk propagation algorithm for 170M+ users collaborating with global experts; Deployed algorithm within 3 weeks of conceptualization
• Managed data science professionals from leading startups (MakeMyTrip and 1mg) to identify contacts at risk daily and anonymously notify ~8M citizens to enable them to take action to protect others around them
• Facilitated technical decisions with engineering to increase privacy while preserving efficacy and computability, e.g., Gaussian smoothing for location data (privacy vs efficacy) and homomorphic encryption for risk prop. (privacy vs efficacy vs computability)
• Collaborated with designers to iterate wireframes and UX for notifying citizens of their risk level – balancing simplicity and actionability of risk signals; Deployed 4 level risk signal communicated to users via different colors with accompanying suggestions
• Collaborated with distinguished global experts in epidemiology and applied mathematics including Dean, MIT and Ronald Rivest (Turing awardee) to evaluate and update contact tracing approach
• Featured on Booth website; World’s fastest app to reach 50M downloads (13 days, beating Pokemon Go); Awarded Digital India 2020 award by President of India

Mar 2017 – Jul 2019 · 2 yrs 4 mos · New Delhi Area, India

• NITI Aayog (National Institution for Transforming India) is India's federal ministry chaired by the Prime Minister tasked with policymaking and promotion of innovation.
• Worked as chief of staff to CEO, NITI Aayog, primarily driving national technology strategy and projects involving frontier technologies.
• Large scale technology projects on AI and intuitive data access for citizens:
• Co-developed India’s national strategy on AI aimed at unlocking $1T+ of GDP by 2030 by proposing actionable steps to revamp the research and data ecosystems as well as responsible AI; Announced by Prime Minister with initial outlay of ~ $1B
• Defined product requirements and managed vendor for a $8M National Data and Analytics Platform (with NLP based contextual search) aimed at being a consolidated platform for government data in all major economic sectors
• Led team of 5 to create ‘Indic NLP Stack’ to democratize access to vernacular content and empower 500M+ internet users; facilitated multiple workshops of Microsoft, startups and academia; project selected in 100-day plan of 2nd ministry of PM Modi
• Pioneered execution of India’s first distributed ledger project to reduce incidence of fraudulent drugs with estimated annual savings of $4.25B and 50k+ lives; coordinated with CxOs of 7 participating manufacturers, distributors, retailers to drive execution
• Led development of event app for PM-POTUS co-hosted 5k delegate Global Entrepreneurship Summit; developed novel features such as P2P wearable networking by coordinating efforts of engineering teams across 3 startups (Wearables, app, BT location)
• Represented India at international fora and influenced international declarations on data and AI:
• Selected to represent India at the UN 6th Committee on Statistics– youngest Indian to ever deliver country policy statement – led to inclusion of clause on utilizing granular data and advanced analytics/AI in official statement (Points 93, 97)

Sep 2015 – Feb 2017 · 1 yr 5 mos · New Delhi Area, India

• Co-founded company and built product aiming to provide a pervasive fitness experience to customers by tracking activities both within and outside the gym and enabling new formats of buying access to gyms through flexible, social, and gamefied membership models.
• Secured in-principle buy in to invest $220k+ from 3 angel investors for venture.
• Developed new product to address tracking of fitness data seamlessly both within and outside gyms.

Jul 2014 – Aug 2015 · 1 yr 1 mo · New Delhi

• The International Innovation Corps.(IIC) places flat teams of five fellows with a government institution in India for a one-year period to work on an ambitious goal with the potential for scalable social impact. Each team is comprised of graduates from a variety of disciplines who are trained in the US and India in innovative design, social entrepreneurship, management consulting skills, and leadership and the work involved is a mix of strategy consulting and product development.
• Worked on turnaround strategy for public sector renewable energy company, targeting new markets and building new relationships with state governments and public sector clients.
• Empowered 2000+ households in rural Rajasthan and Bihar by designing and implementing solar microgrids.
• Co-authored and presented sustainability plan for a greenfield smart city to save $410mn, 2.6mn tonnes of CO2 and 13mn gallons of water to CEO and board of city; 7 out of 8 interventions accepted by board and included in city master plan.
• Crafted new product – the “Smart Solar Tree” – a new layer of infrastructure for smart cities; Marketed prototype to 5 states and 10 companies leading to deployment in two company campuses and incorporation in master plan.

Jun 2013 – Jul 2013 · 1 mo · Kanagawa, Japan

• Assigned to increase efficiency of DC-DC converter control system for Nissan electric vehicles.
• Designed multi-parameter control method with potential energy savings of 27 Giga Watt-Hour annually by increasing efficiency by 8 percent at ~ 0 additional hardware cost.

May 2012 – Jul 2012 · 2 mos · Kanagawa, Japan

• Implemented computer vision algorithm utilising Gabor filters to detect the vanishing point of unstructured roads from a single, noisy image.
• Developed and tested novel method for algorithm to self assess accuracy of its prediction.
• Improved performance of implementation by ~500% by parallelizing code and using raster voting algorithm to find vanishing point rather than the traditional method.
• Extended assigned work - innovating and finding new method for mapping road heights from a single image.
• Asked to come back for second internship by NATC leadership based on performance during internship.