Puneet Saran

I’m a Data Platform Engineer with B.Tech in Electronics & Communication and experience designing and operating scalable data infrastructure. I focus on “analytics, reporting, and product insights” by improving data reliability and performance.

In my backend and data roles, I’ve built production-focused pipelines, including “RAG-based document pipelines enabling LLM-powered analysis and response” for ~3 enterprise clients. I also designed “rules-based data mapping” to standardize flows across heterogeneous systems and reduce ingestion processing time by ~40%.

On the platform side, I engineered and validated “Python-based test harnesses for telemetry ingestion pipelines,” supporting ~1 TB/day EV sensor data and improving unit/integration test coverage to ~85%. I contributed to cloud migration to AWS/Azure, reducing data retrieval latency by ~30% and cost by ~25%, while enabling horizontal scaling with Docker and Kubernetes.

I enjoy working across engineering and research, from “telemetry storage” and performance metrics delivery to NLP work like an IEEE-published paper featuring “Word2Vec, ELMo, and BERT-based” data augmentation and a two-stage sanity checker. I’m motivated by building modern, production-ready data systems that cross-functional teams can trust and use.