Feb 2023 – Feb 2025 · 2 yrs · Seattle, Washington, United States · On-site

• Feb'24 to present (AWS AI)
• Product Manager in a strategic core team working with AWS and Amazon GenAI leadership to explore and evaluate GenAI use-cases, helping build robust product strategies and roadmaps for our customers.
• Working on multiple GenAI areas such as: model evaluation including responsible AI, model infrence (including improving throughput and latency) and deployment, and improving developer experience (ease-of-use capabilities).
• From Feb'23 to Jan'24 (AWS)
• Product Manager in Serverless Containers product portfolio, including Elastic Container Service (ECS), AWS Fargate, Container Runtime, and AWS Bottlerocket.
• Worked on a diverse set of features and products: fast container (and application) startup, new container compute primitive improving operational efficiency, out-of-the- box high throughput and high IOPS storage provisioning with containers, and improving observability and monitoring for containerized workloads. These efforts aimed at benefitting existing and influencing net new workloads. Also, conducted multiple customer workshops and outbound GTM activities, including AWS re:Invent session.

Jun 2022 – Aug 2022 · 2 mos · Seattle, Washington, United States · On-site

• Developed a long-term (3-year) product vision and strategized product roadmap for an AWS service to cater to AI training workloads, aiming to generate X% incremental revenue.

Dec 2020 – Jan 2022 · 1 yr 1 mo · Bengaluru, Karnataka, India

• Led a team of engineers to build a telemetry and observability tool to better understand customer use cases for a Google Cloud service. Later, analyzed data to identify customer pain points, helping prioritize features for the product roadmap.
• Worked on a data analytics open-source project that supports writing data from Apache Spark to BigQuery at Petabyte scale. Identified customer pain points and led efforts to improve data write performance by X%.

Feb 2015 – Dec 2020 · 5 yrs 10 mos · Bengaluru, Karnataka, India

• Built a tech company from 0 to 1. Built MVPs and go-to-market strategies for 15+ Android apps and games across multiple categories: photography, casual and trivia games, entertainment, and utility.
• Recruited and led a team of product managers, software engineers, designers, and digital marketers to achieve a cumulative ~16M app installs in global markets such as Asia, North America, and the European Union.
• Designed and launched the Overam mobile app to tap into the geometric-photo-editing customer segment, delighting customers and achieving a rating of 4.5/5 on the Play Store. The product was lauded in major tech blogs worldwide.
• Analyzed market trends and performed competitor analysis to identify potential customer segments for new apps. Developed a social media analytics app and an in-house game engine for low-end smartphones, achieving 5M installs.
• Executed a unique gamification strategy to generate revenue from non-performing users, resulting in a 100% surge in user engagement and a 75% rise in revenue.
• Collaborated with marketing professionals from 10 countries to create regional SEO strategies, leading to 50% increase in installs.

Jul 2013 – Jan 2015 · 1 yr 6 mos · Bengaluru, Karnataka, India

• Innovation: Built an algorithm that improved the time efficiency of Raptor10 FEC decoder by 400%; recognized with a ‘Samsung Spot Award’.
• Results Oriented: Took end-to-end responsibility for the successful implementation of the decoders for broadcast services; collaborated with another team in South Korea HQ to complete required integration.

May 2012 – Jul 2012 · 2 mos · Bengaluru, Karnataka, India

• Hand Over Face Occlusion Detection And Recognition Of Hand Gestures
• Used force fields for pre-processing and Local Binary Patterns (LBP) for feature extraction. Then, Gabor filters were used to determine the gesture type. The system had an accuracy of 92% under limited head motion.