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Dev PARIKH

Mid-level Software Engineer specializing in backend systems and applied AI

QualcommUniversity of Maryland, Baltimore CountyBaltimore, MD4 Years ExperienceMid LevelWorks Remote

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About

Full-stack/product-minded engineer with strong React/TypeScript depth who has owned systems end-to-end, from UI architecture to backend services and data design. At Qualcomm, they built both a telemetry dashboard and an ML model drift monitoring platform for 20+ edge models, including post-launch tuning that cut false positives by 60%. They also demonstrate 0→1 startup execution by solo-building a production RAG document Q&A platform with JWT auth, Stripe gating, and sub-300ms retrieval.

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Key Strengths

  • Built production React/TypeScript telemetry dashboard for 15+ services
  • Strong frontend architecture with feature-based component organization
  • Sophisticated client/server state separation using Redux Toolkit and React Query
  • Performance optimization for high-frequency dashboards using memoization and virtualization
  • Type-safe API modeling and refactor-safe TypeScript patterns
  • End-to-end ownership across frontend, backend, and data layer
  • Designed decoupled ML monitoring system for 20+ edge-deployed models
  • Scalable backend architecture using SQS, FastAPI, PostgreSQL, and S3
  • Production deployment automation with GitHub Actions, Docker, ECR, and ECS
  • Improved alert quality by reducing false positives 60%
  • 0-to-1 product execution as a solo builder
  • Shipped RAG-based document Q&A platform with sub-300ms retrieval
  • Delivered production-ready system supporting up to 100 concurrent users

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Experience

Software Engineer - Applied AIQualcomm · Jun 2025 – Present
Graduate Research AssistantUniversity of Maryland, Baltimore County · Oct 2024 – May 2025part-time
Software EngineerMindtree · Jan 2021 – Dec 2023

Education

University of Maryland, Baltimore Countymaster, Data Science (2025)
Gujarat Technological Universitybachelor, Computer Engineering (2023)

Languages

English

Publications

1 publication

Deep LearningEmotion DetectionMultimodal LearningPhysiological Signal ProcessingComputer VisionAffective Computing

Memberships

  • IEEE

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Dev already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

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Hire with Reval

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Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.

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Dev PARIKHMid-level Software Engineer specializing in backend systems and applied AI