Engineering @ Bloomberg | Ex - Coinbase & Tesla | USC Alum
Aditya Chandupatla is a software engineer at Tesla with over 5 years of relevant experience in the field. He is well-versed in java-based microservices architecture, distributed systems, and system-level database programming in a massively parallel environment. Aditya has experience in own
Years of Experience
university of southern california, jntu
bloomberg, coinbase, tesla, hulu, teradata, vmware, hedgehog lab
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2022 - Present
Connecting the world’s decision makers to accurate information on the financial markets and helping them make faster, smarter decisions.
2021 - 2022
• Primary engineer leading the Data Governance Initiative at Coinbase. Developed an in-house automated role-based-access-control (RBAC) system using Apache Airflow for Snowflake data warehouse, storing 10+ petabytes of data (blockchain, product, and traditional finance.) • Experimented on several classification strategies to identify and tag PII data such as entropy measure, open source tools based on regular expressions and metadata, and third-party enterprise data-governance vendors. Reduced human annotation efforts down to 2 hours of background classification cron job. • Built Data Deletion and Retention multi-tenant Framework (suite of microservices based on Go) to ensure highest compliance with regulatory requirements such as GDPR for all types of data stores (Postgres, Mongo, etc) across Coinbase - estimated to save the company millions of dollars.
2021 - 2021
• Revamped Ownership-Transfer platform which facilitates seamless transfer of vehicles and subscriptions such as premium-connectivity, supercharger credits, autopilot, and full-self-driving, from one owner to another. • Utilized Netflix's Conductor system for microservice orchestration to transition to an asynchronous and parallel event-based platform delivering 2x faster response times. The system is capable of supporting ~2MM vehicles worldwide across different geographic regions. • Initially joined as an intern during final semester and subsequently got converted to a full-time role for exceeding expectations.
2020 - 2020
Software Developer Intern
• Responsible for developing an end-to-end low latency and secure cloud native ingestion service that tracks over 1 million events occurring everyday in Hulu's distributed metadata ETL pipeline, processing data from 20 different sources. Reduced time taken to track metadata documents down to single digit seconds. • Hulu is now part of Walt Disney Streaming family of products, and I received a full-time offer to join after graduation for delivering on the internship project.
2017 - 2018
• Created infrastructure for error detection module from ground up to analyse logs from several distributed services, and track error messages via state machines to find root cause. • Integrated Google's distributed Tensorflow into Teradata by incorporating table-operators to provide end user with capabilities to run analytical queries right within database. • Implemented a prototype to accelerate database aggregation operations using GPU (NVIDIA GeForce GTX 1070). Achieved a performance boost of up to 3X on a dataset containing 32 million records.
2017 - 2017
Intern - IT
Built internal tools for the team based on REST and SOAP which resulted in increased productivity and accelerated deployment times. Was given a return offer to join VMware Bengaluru office upon graduation.
2016 - 2016
Android Developer (Intern)
Developed an instant-food-delivery mobile application. Worked on Activities, Broadcast receivers and Services components of the Android system.
Amazon Web Services (AWS)
Artificial Intelligence (AI)
Elastic Stack (ELK)
Object-Oriented Programming (OOP)
2019 - 2021
university of southern california
Master of Science - MS
2013 - 2017
Bachelor of Technology - BTech