I build the data pipelines and RAG systems behind climate-risk tools for power utilities. The kind that have to keep working for 100+ tenants, long after the demo is over.
I'm a backend engineer at AiDash in Gurgaon, working between distributed systems and AI infrastructure. I also write about what breaks when AI systems meet production.
CRIS shows power utilities where wildfire and weather risk is highest on their network. This is the service that feeds it. I have worked on CRIS since its inception and owned its backend architecture as it grew from 1 to 50+ enterprise tenants.
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Fig. 1. Each stage hands off to the next through a queue, so no stage waits on another.Read the case study →
A RAG pipeline that lets utility companies ask questions of their own wildfire mitigation plans. I designed and deployed it for 100+ tenants, across a Java and Python microservices architecture.
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Fig. 2. The first three stages run once per document. The last two run on every question.Read the case study →
Nov 2022 – Jun 2023Software Engineer Intern, AiDASH
Jun 2019 – May 2023B.Tech, Computer Science and Engineering, SRM Institute of Science and Technology, ChennaiGPA 9.17
Day to day: Java and Spring Boot, Python and FastAPI, on AWS (Lambda, SQS, S3, EKS, Fargate, Bedrock). PostgreSQL, Cassandra, Redis and DynamoDB underneath.