Oct 2024 – Jul 2025 · 9 mos

Feb 2024 – Aug 2024 · 6 mos · San Francisco Bay Area

Jul 2023 – Jan 2024 · 6 mos

Dec 2021 – Jan 2024 · 2 yrs 1 mo · Sunnyvale, California, United States

• Designed and implemented highly optimized, serverless architecture using AWS Lambda, DynamoDB to reduce dependency on synchronous AWS Step Functions in Amazon Ads Tier-1 checkout flow, reducing latency by 5% and contributing to a more robust and seamless customer experience.
• Led a team of three members to successfully deliver a time-sensitive EU compliance project. Managed end-to-end development, testing, and deployment processes to ensure on-time delivery.
• Transitioned all pipelines to full continuous delivery (CD), resulting in a 30% decrease in deployment time, 50% reduction in oncall burden and an overall increase in efficiency.
• Designed and executed a comprehensive Content Review Rating system, collaborating with cross-functional teams to ensure seamless integration and usability, resulting in a 30% increase in targeted ad delivery efficiency.
• Collaborated with a cross-functional team of 6 professionals to successfully deliver the Feature Rotator for Fire TV, resulting in a 15% increase in revenue for Amazon Ads.
• Automated and streamlined the setup process for Checkout service, reducing time spent from 4 days to 2 hours. Released it as a library enabling other teams within the company to benefit from this leading to increased overall productivity.
• Mentored new team members by scheduling weekly check-ins, explaining team architecture and tools, creating tutorials, and documenting a new hire wiki, resulting in faster onboarding and ramp-up time.

Jul 2020 – Nov 2021 · 1 yr 4 mos · San Francisco Bay Area

• Worked as a part of Checkout payments team involved in eBay’s shopping cart using eBay’s Raptor Framework.
• Worked with a team of 3 people, planned, designed, and developed security module to verify identities of risky buyer from checkout perspective that reduced fraud buyer transaction by 5%. This was later adopted by different teams.
• Designed and developed a module to block users from sanctions countries listed by govt. from making transactions.
• During On Call rotation, identified a process improvement requirement and created tool to visualize various aspects of checkout platform for different users, errors, error types, and components using Grafana to help other on-call employees. This tool expedited on-call productivity by 30%.
• Incorporated machine learning algorithms to reduce checkout page latency by 6%.
• Contributed to ~5% rise in checkout rate by working on “Pay with points” feature that allows buyers to use eBay credit card rewards points for their future transactions.
• Engineered a method that boosted the speed of the testing phase used by the checkout platform by 30%.

Jun 2019 – Nov 2019 · 5 mos · On-site

• Developed an enterprise solution for defect prediction and visualization in a micro sized silicon water to improve visualization rate from 2 million to 15 million using Machine Learning, Deep Learning, Angular and Canvas.

Feb 2018 – Aug 2018 · 6 mos · Gurugram, Haryana, India

• mycricketleague is an innovative online platform that allows cricket enthusiasts to engage with the sport in a dynamic and interactive manner. Users can create their dream teams, participate in various leagues, and compete with fellow fans for exciting rewards.
• 🚀 Key Features:
• User-Centric Design: The website boasts a sleek, intuitive interface that enhances user experience, making it easy for participants to navigate, select players, and monitor their teams’ performances.
• Diverse Leagues: FPCL hosts a variety of leagues, ranging from free-entry options to premium leagues with higher stakes, catering to users with different preferences and levels of expertise.
• Real-Time Analytics: The platform provides live score updates, player statistics, and predictive analytics, offering participants valuable insights to make informed decisions.
• Secure Transactions: With robust security protocols in place, users can confidently participate in paid leagues, conduct transactions, and redeem rewards with peace of mind.
• Community Engagement: FPCL fosters a vibrant community of cricket lovers, providing forums, chat rooms, and social media integration for users to connect, discuss, and share their experiences.
• 🌟 Achievements:
• Successfully garnered a user base of over 500,000 within the first year of launch.
• Hosted over 10,000 leagues with participants from around the globe.
• Maintained a customer satisfaction rate of 95%, as evidenced by user reviews and feedback.
• Implemented cutting-edge technology to ensure seamless performance during high traffic periods, such as major cricket tournaments.
• 🛠 Technologies Used:
• Frontend: React.js, Redux
• Backend: Node.js, Express.js
• Database: MongoDB
• Cloud: AWS
• Others: Docker, Jenkins, Elasticsearch

Jan 2018 – May 2018 · 4 mos · Gurugram, Haryana, India

• Developed a real-time license plate recognition for an automobile giant and extracted significant data points using Object Detection, Computer Vision, Open CV, Deep Learning, Python and CNNs

May 2017 – Jul 2017 · 2 mos · Noida, Uttar Pradesh, India

• Designed and developed a serverless based end to end Health Care Enterprise solution.

May 2016 – Jul 2016 · 2 mos · Gurugram, Haryana, India

• The goal of the project was to Compare perceptions of various products on different e-commerce companies using
• product reviews