Rohan Chaudhari

– Optimized the monitor run workflow that reduced latency by 55%

– Built an AI-driven Root Cause Analysis system combining logs and metadata to generate incident summaries, hypotheses, and investigation guidance

– Improvement of existing AI workflows for robustness and keeping up with the latest advancements.

- Built an internal ADK + Slack API tool for the Customer Success team to quickly retrieve customer processing status and related operational details. Integrated directly into Slack workflows to improve visibility and speed up responses.

– Designed and productionized ML datasets for crop classification and rotation, accelerating experimentation and pipeline execution

– Built a distributed scaling system processing 4M+ AOIs, reducing development cycles from multiple sprints to less than one

– Developed a Python geospatial library abstracting Sentinel-2 data access and large-scale raster processing

– Owned backend architecture for a crop health monitoring system ingesting 13 TB every 5 days in production

– Designed APIs and implemented core backend logic for urban mobility analytics platform

– Built pipelines ingesting and aggregating geospatial and temporal data from micromobility providers

– Automated and scheduled data workflows to generate production-grade mobility indicators

– Founding engineer and led all data engineering and backend projects