May 2024 – Sep 2024 · 4 mos · Menlo Park, California, United States · Remote

• OCC Spreads: Designed a solution to control the filename of OCC spreads by a servar/variable, ensuring flexibility and ease of updates. Tech Stack: Python
• Contract Order Limit: Developed a system to adjust the 200 contract order limit and premium amount for options when the premium is over .24. Tech Stack: Python
• Deduplicate Ineligible Option Account Records: Engineered a solution to deduplicate records created during multiple runs of the reconciliation job, preventing redundancy and improving data integrity. Tech Stack: Python

Jan 2024 – May 2024 · 4 mos · Fremont, California, United States · On-site

• Designed and implemented access control in the Payments UI, assigning specific permissions to user
• groups. Tech Stack: C#, MongoDB, .NET.
• Payment Agreement: Developed and deployed a system for publishing updates to Payment Agreements onto a Kafka queue, enabling seamless data consumption by cross-functional teams. Tech Stack: C#, MongoDB, Kafka, .NET.
• ◦ Credit Limit: Architected and developed a microservices infrastructure for managing and retrieving CreditLimit, successfully integrating approximately 100,000 Fleet energy and vehicle accounts onto the AR Platform. Tech Stack: C#, MongoDB, .NET.
• ◦ Funding Updates: Engineered a solution for consuming funding status updates from RabbitMQ, enhancing financial data processing capabilities. Tech Stack: C#, MongoDB, RabbitMQ.

Sep 2023 – Dec 2023 · 3 mos · Tempe, Arizona, United States · On-site

• Serving as an Instructional Aide for CSE 563 (Software Requirements and Specifications), CSE 564 (Software Design) and CSE 464 (Software QA and Testing) under Professor Janaka Balasooriya and Professor Lynn Carter.

May 2023 – Aug 2023 · 3 mos · California, United States · Remote

• Spam Classifier: Implemented a LSTM Classifier model to classify the mail subject headers into spam/ham depending on the presence of certain language character sets in the subject. The classifier improved the accuracy and precision of the current existing classifier by 85% and 90% resp. Also, reduced the false positive rate for spam votes to 4.5%.
• Tech Stack: Java, Spark, Scala, Python, HDFS
• Mail Delivery System: Implemented new features like count of emojis and list of foreign language characters in the mail subject headers. Tech Stack: Java.

Feb 2021 – Jul 2022 · 1 yr 5 mos · Bangalore Urban, Karnataka, India

• AHV snapshot: Added a feature in the backend that generates VM snapshots to recover VM’s data in the case of disaster recovery and report snapshot consumption data.
• Tech-stack: GoLang, Python, PostgresSQL.
• CALM UI: Owned the development of various pages in the UI relating to application blueprints and runbooks.
• Tech-stack: ReactJS, HTML, CSS.
• Terraform plugin: Implemented a Terraform provider plugin for creating, updating and restoring VM data.
• Tech-stack: Terraform, GoLang, Python.

Aug 2020 – Jan 2021 · 5 mos · Greater Bengaluru Area

• Developing Microservices: Developed several Rest APIs ( by following microservices architecture ) that were consumed by the internal teams and wrote unit, integration, and JMeter tests for the same. Tech-stack: Golang, Docker, Kubernetes, CassandraDB, RedisCache.

May 2019 – Jul 2019 · 2 mos · Hyderabad, Telangana, India · On-site

• Video Analytics for Advertisements - Identifying Actors in a given video: Implemented CNN Resnet-50 and haar face cascade classifier models to identify some known actors in a given video and report their screen-time. This data was then used to display automated actor-specific advertisements during the reported screen time.

Dec 2017 – Jul 2020 · 2 yrs 7 mos · India · On-site

• Worked on building a web search engine that ranks scientific research papers amongst other projects.