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Vaishnavi Pujala

Junior Software Engineer specializing in backend systems and machine learning

Georgia State UniversityGeorgia State UniversityAtlanta, GA3 Years ExperienceJunior LevelWorks On-Site

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About

Independent builder of production-grade systems: shipped an end-to-end URL shortener with JWT auth, Redis rate limiting/caching, Postgres, Docker, and real-time analytics, and separately architected a Redis-backed distributed task queue handling 1000+ tasks/min. Demonstrates strong distributed-systems instincts (atomicity, retries/DLQ, idempotency, heartbeats) plus a focus on maintainable code and self-documenting APIs (FastAPI/OpenAPI, versioned routes).

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Key Strengths

  • Built and deployed an end-to-end full-stack URL shortener (React/TypeScript + FastAPI) with JWT, Redis, PostgreSQL, Docker
  • Performance under load: 500+ concurrent requests with sub-100ms response time
  • Designed a distributed task queue processing 1000+ tasks/min with retries, DLQ, and idempotency
  • Strong observability focus: real-time WebSocket dashboard for queue depth, worker status, throughput, and failures
  • Debugged and fixed high-concurrency race conditions using Redis atomic operations and Lua scripting
  • Improved production reliability with worker heartbeat monitoring and automatic restarts
  • Maintainability practices: strict TypeScript, clean layering, reproducible dev env (Docker Compose), API documentation
  • Shipped production RAG assistant with <2s end-to-end generation
  • Reduced LLM JSON/structure failure rate from ~30% to <3% via chunking redesign + validation + retries
  • Built multi-stage agent pipeline with typed contracts, schema validation gates, and request-context state tracking
  • Strong LLM observability: stage-level metrics (latency, similarity scores, validation pass rate, retry rate) used to drive debugging/prioritization
  • Designed offline/online/continuous evaluation loops; improved retrieval similarity (0.58→0.81) and validation pass rate (70%→97%+)
  • Built robust data pipelines on messy ERP-like data with dbt tests, quarantine routing, and idempotent Airflow DAGs
  • Prevented downstream analytics errors by adding temporal consistency validation for anomalous timestamps

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Experience

Graduate Research AssistantGeorgia State University · Aug 2025 – Presentpart-time
Graduate Teaching and Lab AssistantGeorgia State University · Aug 2024 – May 2025part-time
Computer Vision & ML EngineerAtal Incubation Centre, AIC-GNITS Foundation · Jul 2023 – Jul 2024
AI/ML Research AssociateInnovation and Incubation Cell - GNITS · Aug 2022 – Jun 2023

Education

Georgia State Universitymaster, Computer Science (2026)
G. Narayanamma Institute of Technology & Sciencebachelor, Computer Science (2024)

Languages

English

Publications

2 publications

Machine LearningComputer VisionHealthcare Analytics

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Connect with Vaishnavi

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Typically responds within 24 hours

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Vaishnavi PujalaJunior Software Engineer specializing in backend systems and machine learning