Nov 2022 – Mar 2023 · 4 mos · Bengaluru, Karnataka, India

• Worked in the Promotions Platform team which owns point of sales promotions for all Amazon customers. Built innovative solutions that would handle thousands of transactions per second reaching billions of customers across the globe.

Feb 2022 – Nov 2022 · 9 mos · Hyderabad, Telangana, India

• Worked on the scaling of existing systems to handle a 45X increase in the load.
• Re-architected the existing system to move from an inefficient pull-based model to a push-based model.
• Horizontally and vertically scaled the existing system to handle a 45X increase in the load.
• Reduced the number of ADO API calls by 140X and Cosmos DB calls by 13X, thus saving a lot of resources.
• Stress tested the new system by injecting synthetic load.

Jul 2020 – Feb 2022 · 1 yr 7 mos · Hyderabad, Telangana, India

• Worked in the Office Fundamental Engineering team at Microsoft.
• LKG Evaluations Tab: Developed a frontend and backend system that is used by 9000+ engineers to track the movement of their code between the branches of Office mono-repository. Assumed the responsibility of a Product Manager by talking to 200+ customers, understanding their requirements, developing UI mocks, and aligning the stakeholders. This product played a key role in improving the code movement time within the Office repository.
• Test Break Management: Developed a system that identifies test failures in the Office mono-repository by running 100K+ unit and integration tests. Developed an Azure DevOps UI extension where users can view the test failures and resolve them in <4 hours, hence improving the code movement time.

Oct 2021 – Feb 2022 · 4 mos · India

• Stociall is a community-based social investment platform where people can leverage the power of their network in making investment decisions. As a team, we achieved the following:
• Launched a mobile application on PlayStore within 1 month of starting out.
• Reached out to 1000+ users through mediums like college seminars and social media.
• Reached a milestone of 350 users out of which 25% of them linked their portfolios on the app with a total portfolio value of ~3cr.
• Reached out to multiple investors in the FinTech space and worked on the Product Market Fit.
• As a technical co-founder, I accomplished the following:
• Designed and developed a scalable backend system using Java Spring Boot and Mongo DB. Deployed the service on Google Kubernetes Engine (GKE).
• Integrated with Zerodha and AngelOne APIs to fetch the Stock and Mutual Funds data of 500+ users.
• Used Google Cloud KMS encryption to secure users’ personal and financial data.
• Hired and led a team of 10+ software engineering interns.

Jan 2020 – Jun 2020 · 5 mos · Bangalore

• As an intern in the Platform Engineering team at Harness, I worked on the following projects:
• Vanity URL: Made Harness application accessible through custom subdomain URLs which helped in onboarding multiple paid customers to Harness.
• JDK Upgrade: Upgraded JDK of all the micro-services to OpenJDK-8. Built a system using which JDK can be upgraded seamlessly in the future.
• Microsoft Teams Integration: Integrated Microsoft Teams as a notification service in Harness that had the potential to generate millions of dollars in revenue.

May 2019 – Dec 2019 · 7 mos

• Official TA of the course Neural Networks and Fuzzy Logic (BITS F312): Tutored a batch of 80+ students and conducted weekly lab sessions

Jan 2019 – May 2019 · 4 mos

• Database Systems (CS F212) : Created problem statements on topics ranging from basic select queries to procedures and events in MySQL. Responsible for evaluating a batch of 180 students during the weekly labs conducted in the course.

Aug 2018 – May 2019 · 9 mos

• Object Oriented Programming in Java (CS F213) : Reponsible for creating problem statements of the weekly lab assignments and evaluating the students based on the test suites provided for the automated grading system.

May 2019 – Jul 2019 · 2 mos · Hyderabad Area, India

• As an intern in the Office Engineering team at Microsoft, I worked on the following:
• Developed a .NET application and a User Experience tool to auto-generate Azure DevOps dashboards.
• With a focus on design and scalability, the tool had the potential to save hundreds of crucial productive hours of Group Engineering Managers at Microsoft. Successfully deployed the tool on Azure DevOps

May 2018 – Jul 2018 · 2 mos

• Worked on the drowsiness and fatigue detection of automobile drivers using computer vision and deep learning.
• The work majorly involved the detection of eye blink and yawning from the videos of automobile drivers(obtained from datasets like ZJU DB, EyeBlink8, NTHU DDD, YawDD) using OpenCV, Keras API (Tensorflow backend), and ELM classifiers.
• Devised a novel and nonintrusive system for yawn detection targeted toward real-time drowsiness detection.
• Achieved an accuracy of 99.25% along with an F1-score of 98.00% at 30 frames per second (FPS).
• Selected best paper in the Eighth Edition of International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2020

Aug 2016 – Aug 2017 · 1 yr