Mar 2025 – Present · 1 yr · Bengaluru, Karnataka, India

• Leading Nirvana's telematics data and ML platform team

Jun 2023 – Apr 2025 · 1 yr 10 mos · Bengaluru, Karnataka, India

• I have been building Nirvana's core data platform & software infrastructure. I have been directly responsible for implementing and optimising telematics data integrations, data ingestion pipelines and the MLOps infra relied upon by the data science team. My other responsibilities include building Nirvana's cloud, developer and product infrastructure. Being one of the earliest engineers to join the company, I have been involved in most serious infra projects that have helped scale the company to its present stage which has given me immense learning opportunity and work experience in building reliable, scalable distributed systems.

Jun 2022 – Jun 2023 · 1 yr · Bengaluru, Karnataka, India

• Data platform, and software infrastructure.

Dec 2021 – Mar 2022 · 3 mos · Bengaluru, Karnataka, India

• Worked primarily in designing and launching our safety app in close collaboration with founding engineers of the start-up. I personally owned multiple pieces in the engineering such as designed data pipelines moving through snowflake, dbt and postgres database to ingest public data from FMCSA into our applications, and then writing score calculators, projections and various other processing logic in our backend for this pipeline. I also worked in the infrastructure side of things, such as improving the existing feature store implementation to add a new gRPC service for it and a python library for the data science team to use. I also designed an OAuth management layer which allowed consumers to access an OAuth token without worrying about refreshing it ever (the layer automatically refreshes the tokens on access). The layer was safe and in fact optimized for concurrent accesses.

Jul 2021 – Aug 2021 · 1 mo · San Francisco Bay Area

• Worker with the infrastructure team directly under the founding engineers to design and build a storage abstraction layer for storing "feature data" primarily telematics-based along with metadata. The built "feature store" supported versioning and tagging of features with metadata for maximum flexibility. Proper unit, negative and functional tests were prepared for testing. Also added some command line tooling around this infra for developer convenience and testing.
• Worked to create visualizations for certain telematics features as a part of development iteration framework, using Superset BI tool, by writing SQL queries to pull in data from feature store, process, transform and feed into the Superset.
• Received PPO (Pre-placement offer) for outstanding internship performance.