Jul 2022 – Present · 3 yrs 11 mos · Bengaluru, Karnataka, India · On-site

• ● Built a privacy-first, LLM backed code review interface using Rust (data processing), ReactJS/Next.js (frontend/server), and a Chrome extension.
• ● Architected a dual-backend containerized system where sensitive code stays on-prem while metadata is encrypted and sent to cloud APIs.
• ● Led product strategy, hiring, sprint planning, and DevOps; mentored a junior dev; collaborated closely with cofounder on growth and user interviews.

Nov 2021 – Dec 2021 · 1 mo

Sep 2020 – Aug 2022 · 1 yr 11 mos · Bengaluru, Karnataka, India

• ● Managed a team of 4 data engineers; led infrastructure decisions, access control, and data architecture.
• ● Built scalable pipelines using GCP Dataflow; handled 10TB+ daily data flow across TimeseriesDB, Firestore (NoSQL), and Redis.
• ● Oversaw GDPR compliance, backups, cost optimization, and cross-team collaboration between Backend, Analytics, and Data Science.

Jul 2019 – Feb 2020 · 7 mos · East Palo Alto

• Worked in the infrastructure team for AWS Glue, a distributed serverless cloud service for automating ETL jobs, supporting close to 1M job runs every day from thousands of enterprises across the world

Jun 2018 – Jul 2019 · 1 yr 1 mo · Santa Clara

• Helped in designing rule-based security scan for IaaS cloud providers like GCP, AWS and Azure by ingesting real time configuration data
• Developed microservices using a backbone of celery workers and kafka queues to communicate with a
• mongoDB backend in a distributed environment

Feb 2018 – Jun 2018 · 4 mos · Menlo Park, CA

• Worked on a distributed scalable ingestion engine built on the ELK stack processing up to 180 GB/ day of structured and unstructured real time, streaming log data, deployed on public cloud (AWS)
• Wrote Infrastructure-as-code scripts using Jenkins to deploy and update distributed microservices automatically on AWS

Jan 2016 – Dec 2017 · 1 yr 11 mos · Jaipur

• ● Engineered a python based prototype grain image classification system from scratch with a team of four.
• ● Collected and labelled raw data, applied preprocessing, performed feature extraction and finally evaluated machine learning algorithms including CNN models on performance metrics to achieve 92% accuracy.

Mar 2015 – May 2015 · 2 mos · Noida Area, India

• Upgraded "Gaana", the #1(India, 2015) iOS based music streaming app on App Store to work on iOS 8.0 devices

Jul 2014 – Mar 2015 · 8 mos · Noida, Sector - 62

• ● Designed and developed "mCAS" app, an iOS based customer acquisition system for ENBD, a leading banking group in Dubai
• ● Developed Java based RESTful web services using frameworks like Spring and Hibernate, working in a team of four

May 2013 – Jul 2013 · 2 mos · Noida Area, India

• ● Prototyped an Android app for recording payments through NFC, later implemented for paying in the company's
• canteen
• ● Programmed a Java based application to obtain printable image quality of a document from a photo