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Nisarg Shah
Junior Machine Learning Engineer specializing in geospatial analytics and computer vision
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About
Built and evolved a geospatial ETL + API platform that processes pixel-wise satellite imagery in PostgreSQL/PostGIS into low-latency farm-level time-series metrics for an interactive dashboard, using precomputed hotspot analysis to reduce latency by 75–80%. Experienced in FastAPI-style API contract design (OpenAPI), caching, server-side filtering/compression, and production-minded security patterns (RBAC, session-derived authorization, password hashing) with disciplined rollback/versioning practices.
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Key Strengths
- Designed geospatial backend/ETL platform for pixel-wise satellite data with low-latency farm-level aggregation
- Used precomputation to cut hotspot-analysis latency by ~75–80%
- API design discipline (versioned endpoints, OpenAPI contracts, pagination, error handling)
- Performance optimization via server-side filtering, compressed responses, and session-level caching
- Security implementation experience (RBAC, server-side authorization, password hashing, session hardening, rate limiting)
- Strong rollback/versioning practices under deadline pressure (reverted to stable GitHub version before stakeholder demo)
- Identified and mitigated geospatial edge case (overlapping pixels across farm boundaries) to protect model accuracy
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Publications
2 publications
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