Oct 2024 – Feb 2025 · 4 mos · Palo Alto, California, United States

Oct 2021 – Oct 2024 · 3 yrs · Palo Alto, California, United States

• Design and develop a massively scalable and highly resilient cloud-based ingestion service to receive and process telemetry data from vehicles. Collaborate closely with Vehicle engineering, Mobile apps (iOS and Android), and other Rivian engineering teams to ensure our data pipeline is built for performance, reliability, and security. Build high-quality, testable, and scalable backend systems including RESTful APIs, batch jobs, and CI/CD pipelines for deployment and testing. Design algorithms and data structures for efficient data ingestion and streaming. Perform code optimizations. Understand and improve existing code's performance. Contribute to code and design reviews to deliver high-quality software. Build monitoring and alerting solutions, and dashboards to observe and detect bottlenecks in the service. Collaborate closely with Cloud Providers, such as Amazon on their AWS IoT and Data Services, to define and build a system that will scale for Rivian's products. Establish standards and best practices for software engineering.

Mar 2019 – Oct 2021 · 2 yrs 7 mos · Sunnyvale, CA, United States

• I am a software engineer for the Personalization team at Yahoo, and we personalize stream on yahoo.com, sports.yahoo.com and Yahoo finance along with TechCrunch and other properties. I work with real time stream processing system Apache storm and Boson topology that computes document popularity scores for content like Gmp, olr and wilson etc.
• I also work in maintaining and updating user interest vectors and user profiles to personalize content for our users and serve them inferred interests and declared interests content in real time along with trending content using a big data real time serving and indexing tool called Vespa which is the Yahoo equivalent of Elastic Search. I also work on second phase of ranking content which uses a DNN model and tensorflow serving.

Jun 2018 – Aug 2018 · 2 mos · sunnyvale

• Worked with Testing Infrastructure team in Google Cloud - Applying Machine learning using Keras and Tensorflow API's to predict test outcomes and their running time by feeding first few hours of log data into the models. Created data pipeline to capture logs from different sources into a Json file and parse the Json to a csv file. Implemented Linear Binary Classifier, Deep neural network and LSTM models. The average running time of the test is 24 hours. The model potentially saves hundreds of hours of debugging by detecting early failures before they happen. Prediction accuracy achieved - 80%

Jan 2017 – Jul 2017 · 6 mos · Hyderabad Area, India

• Develop scalable, fault-tolerant Java Micro-services powering the backend of the enterprise software named NextErp for thousands of schools using spring boot 2, JPA, and Angular JS. Used Kibana for logs, Kafka queues for asynchronous event handling, Zuul for dynamic routing to the Eureka server and Eureka by Netflix for service discovery and mid tear load balancing in AWS. Responsible for writing design documents, understanding, writing and reviewing code and unit tests.

Jul 2016 – Dec 2016 · 5 mos · Hyderabad Area, India

• Development for HCM fusion applications, HCM Data Loader team which is responsible for loading the data from dat files to logical objects in the database and pushing to downstream systems using JAVA ADF framework, SQL, PL-SQL. Data is in multiple languages with different encodings.

Jul 2014 – Jul 2016 · 2 yrs · Chennai Area, India

• Responsible for the Full-stack development of VOIP provisioning applications at Verizon. Worked on the EASR (Access Service Request) tool for handling Access Service Requests orders between Verizon and other telecom companies.
• Frontend development was in Javascript and JSP(Java Server Pages) and AJAX, Backend development was in Java Struts framework, Servlets. Learned about GIT, Unix commands, Velocity servlets and server architecture.

May 2014 – Jun 2014 · 1 mo · Jabalpur Area, India

• Developed COIN tool to compute Software Maintainability metrics