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Hiya Kothari - Software Engineer Intern in San Francisco, CA

Hiya Kothari

Intern Full-Stack Software Engineer specializing in AI/ML and cloud

Sparx LabsUC IrvineSan Francisco, CA3 Years ExperienceIntern LevelWorks On-Site

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About

Built a Python-based geospatial machine learning backend for PFAS contamination risk mapping, including reproducible feature pipelines, ensemble modeling, and a FastAPI layer for visualization/analysis. Emphasizes data integrity and robustness (CRS/coverage checks, fail-fast validation) and has led safe backend refactors using feature flags, idempotent backfills, and Postgres RLS for secure, queryable results delivery.

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Key Strengths

  • Designed and evolved geospatial ML backend pipeline for PFAS contamination risk mapping
  • Strong focus on reproducibility via versioning, deterministic preprocessing, and experiment parameter/schema logging
  • Data quality and integrity engineering (validation checks, quality reports, fail-fast pipelines)
  • API performance optimization (cursor-based pagination, indexing, payload limits, moving expensive logic out of request path)
  • Safe migration/refactor execution (feature flags, parallel runs, incremental rollout, easy rollback)
  • Production-grade security implementation (OAuth2/JWT, role-based access, Postgres RLS policies and testing)
  • Improved model accuracy to ~78% and enabled geospatial insights supporting policy discussions
  • Shipped AI resume-to-job matching feature end-to-end (embeddings + vector DB + AWS deployment)
  • Data-driven iteration using implicit user feedback signals (clicks/skips/manual selections)
  • Balanced model tradeoffs via A/B testing across relevance, latency, and cost
  • Improved matching precision by 10% and reduced response time by 30% through re-ranking and skill weighting
  • Production RAG/LLM pipeline design with robust guardrails (confidence thresholds, PII filtering, fallbacks)
  • Empirical threshold calibration using labeled validation sets (precision@k >85% cutoff)
  • Built fault-tolerant ingestion pipeline for messy resumes with retries, DLQs, and observability
  • Designed continuous LLM eval loops (grounding/hallucination metrics, human review, regression prevention) and drove measurable grounding improvements (+15%)

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Experience

Software Engineer InternSparx Labs · Jun 2025 – Presentinternship
ICS Undergraduate TutorUCI · Sep 2024 – Jun 2025part-time
Undergraduate Research AssistantProf. Olivares's Lab UCI · Jun 2024 – Jun 2025part-time
Teacher AssistantUniversity of California, Irvine · Sep 2023 – Dec 2023part-time
Learner AssistantUniversity of California, Irvine · Sep 2022 – Mar 2023part-time
ICS Undergraduate TutorUniversity of California, Irvine · Sep 2024 – Jun 2025part-time
Undergraduate Research AssistantProf. Olivares's Lab, UCI · Jun 2024 – Jun 2025
Undergraduate Research AssistantUCI · Jun 2024 – Jun 2025part-time

Education

UC Irvinebachelor, Computer Science (2025)
UC Irvinebachelor, Computer Science (2025)

Awards

  • Dean's Honor List - University of California, Irvine

Languages

English

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Hiya KothariIntern Full-Stack Software Engineer specializing in AI/ML and cloud