Jun 2024 – Mar 2025 · 9 mos · Gurugram, Haryana, India · On-site

• Joined as the first engineering hire and led all engineering efforts from the ground up.
• Scaled the tech team from 0 to 25, building a high-performing, cross-functional org.
• Launched the MVP, achieving 1M+ downloads within 2 months of launch.
• Built an integrated platform combining an in-house LMS, a Netflix-style course experience, and a job discovery platform—all in one app.

Jul 2022 – Jun 2024 · 1 yr 11 mos · Gurugram, Haryana, India

• Led end-to-end engineering for WhiteHat Jr, Toppr, and Tynker, launching multiple new products for international markets.
• Drove infrastructure and tooling cost optimization, achieving a 60% reduction in spend without compromising performance or scalability.
• Headed the Student-Parent Experience vertical for the Byju’s group—launched data-driven modules enabling students and parents to track performance and receive actionable insights to improve learning outcomes.
• Rolled out self-service features for students and teachers, reducing inbound support volume and improving user satisfaction.

Dec 2020 – Jul 2022 · 1 yr 7 mos

• Heading all of Revv’s engineering functions including architecture, product delivery, infra, and engineering culture.
• Established KPIs for code quality, team velocity, and product reliability across pods.
• Spearheaded the launch of Revv’s Used-Car vertical as a standalone business unit.
• Drove cost optimization initiatives, reducing AWS infrastructure spend by ~40%.
• Shaped engineering hiring and performance frameworks to scale the team sustainably.

Dec 2018 – Dec 2020 · 2 yrs

• Led the Growth & Operations pod for the Rental business, owning both backend and frontend deliverables.
• Revamped web and app UI/UX, boosting conversion and user retention.
• Ran pilot programs for asset-light fleet models to test new business lines.
• Initiated and executed monolith-to-microservices migration for core rental systems, improving scalability and maintainability.

Dec 2017 – Dec 2018 · 1 yr

• Launched robust client APIs to enable third-party platforms like Yatra to directly book Revv cars.
• Improved CI/CD pipelines, significantly reducing deployment time and increasing release frequency.
• Enhanced system monitoring and alerting using ELK stack and custom dashboards for faster issue resolution.

Nov 2015 – Dec 2017 · 2 yrs 1 mo

• Revamped Android app onboarding and booking flows for a smoother customer experience.
• Integrated two new payment gateways, improving payment success rates and user flexibility.
• Designed and built dynamic pricing and availability engines to optimize trip cost and vehicle allocation.
• Launched the Intercity One-Way rental product with real-time inventory-based pricing.

Nov 2017 – Dec 2018 · 1 yr 1 mo · Gurgaon, India

• My second entrepreneurial stint began with building the next-gen CRM ecosystem. At Greenspades, we set out to transform how offline businesses engage with their customers. As a customer engagement platform, Greenspades helped local businesses collect, organize, and activate customer data—turning it into actionable insights that powered data-driven marketing campaigns and improved retention.

Jun 2015 – Nov 2015 · 5 mos · Gurgaon, India

• At CallJini, a seamless end-to-end home services marketplace, I worked as a —developer, salesman, and ops lead. I built the customer app and backend, onboarded 200+ service providers in Gurgaon without any ops spend by mobilising friends into on-ground teams, and fulfilled 150+ service requests in just 2 months through door-to-door selling—without spending a rupee on marketing.

Jun 2014 – Jul 2015 · 1 yr 1 mo · On-site

• Worked on two WPF-based financial data tools:
• Private Placement: Developed and optimized sourcing and mapping logic for categorizing private placement data.
• M&A: Designed the initial architecture and built 100+ data flows for collecting and mapping M&A-related financial data in collaboration with analysts.

May 2013 – Nov 2013 · 6 mos · Hyderabad Area, India

• Built a weighted string-matching algorithm with 60% accuracy for tagging company names.
• Evaluated NLP tools for optimal company name recognition.
• Developed a plug-and-play NER module using Apache UIMA for financial documents.