Junior Data Scientist / Big Data Engineer specializing in ML, LLMs, and analytics platforms
Tempe, ArizonaResearch Aide – Data Science & Analytics3 years experienceJuniorTelecommunicationsTechnologyData & Analytics
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About
Backend/data platform engineer who led a major redesign of a hybrid streaming+batch analytics platform processing 10+ TB/day (Airflow/Hive/BigQuery) with strong data-quality automation. Also built a production RAG PDF assistant with concrete mitigations for hallucinations and prompt injection (re-ranking, grounding, verifier step) and has deep experience executing low-risk migrations (dual-write, blue-green, rapid rollback) and implementing JWT-based row-level security.
Experience
Research Aide – Data Science & AnalyticsArizona State University
Rust Developer InternASU SolarSPELL Initiative
Big Data EngineerReliance Jio Platforms Limited
Education
Arizona State Universitymaster, Data Science, Analytics and Engineering (2026)
University of Mumbai, Mumbaibachelor, Information Technology (2022)
Key Strengths
Designed and scaled a data platform ingesting/processing 10+ TB per day for analytics and ML
Strong architectural tradeoff judgment (latency vs cost; streaming vs batch) with stakeholder alignment
Production-grade API engineering in Python/FastAPI (async, caching, observability, CI/CD, canary deploys)
Built a RAG PDF assistant with layered defenses against hallucinations and prompt injection (grounding, re-ranking, verification)
Led high-safety backend migration using expand/contract, dual writes, checksums/row-level validation, blue-green cutover, and fast rollback
Implemented fine-grained auth and row-level security using JWT claims and database policies for multi-tenant systems
Proactively identified subtle edge cases (aggregation key sparsity, UI/DB race conditions) and fixed with targeted tests
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