Vetted JUnit Professionals

Pre-screened and vetted.

SP

Senior Software Engineer specializing in LLMs, semantic search, and cloud platforms

New York, NY12y exp
GoogleUC San Diego
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MP

Senior Software Engineer specializing in distributed systems, data platforms, and AI

Seattle, WA11y exp
MetaRice University
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SC

Principal Software Engineer specializing in distributed systems and cloud platforms

Menlo Park, CA14y exp
MetaUniversity of Utah
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MH

Senior Software Engineer specializing in enterprise AI/LLM integration and full-stack systems

Redmond, WA12y exp
MicrosoftUniversity of Central Florida
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BT

Staff Software Engineer specializing in streaming platforms and media delivery

San Juan Capistrano, CA12y exp
AmazonUSC
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WJ

Senior Software Engineer specializing in Healthcare IT

Mountain View, CA11y exp
GoogleUniversity of Alabama
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BM

Senior Software Engineer specializing in AI-enabled full-stack and backend systems

Mountain View, CA8y exp
GoogleLehigh University
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BR

Senior Software Engineer specializing in distributed systems and cloud infrastructure

Arlington, TX12y exp
NetflixVirginia Tech
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JC

Senior Software Engineer specializing in backend systems, connectivity testing, and cloud pipelines

Mountain View, CA7y exp
GoogleUniversity of California
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JC

Staff Software Engineer specializing in cloud-native healthcare and payments platforms

Garland, TX14y exp
AmazonUniversity of Texas at Dallas
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BT

Staff Software Engineer specializing in frontend architecture for streaming platforms

San Juan Capistrano, CA12y exp
AmazonUSC
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SL

Staff Software Engineer specializing in FinTech and Healthcare Platforms

Houston, TX13y exp
AmazonColgate University
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JW

Staff Software Engineer specializing in SaaS platforms across Healthcare and FinTech

Katy, TX11y exp
AmwellUniversity of Texas at Austin
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JC

Staff Software Engineer specializing in cloud-native healthcare and payments platforms

Remote14y exp
AmazonUniversity of Texas at Dallas
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SS

Mid-level Software Engineer specializing in backend systems and FinTech

USA4y exp
OpenAISUNY

Frontend engineer focused on sophisticated, high-performance browser UIs for internal operations teams. They have owned real-time monitoring and transaction-tracking interfaces, combining deep browser performance knowledge with user-centered workflow design to deliver sub-second responsiveness, 60 FPS rendering, and a 30% improvement in task completion speed.

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DG

Mid-level Full-Stack Developer specializing in Java/Spring Boot and React

Seattle, WA5y exp
ShopifySaint Louis University

NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.

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Sahitya Thota - Staff/Tech Lead Software Engineer specializing in identity, data platforms, and cloud systems in Fremont, CA

Sahitya Thota

Screened

Staff/Tech Lead Software Engineer specializing in identity, data platforms, and cloud systems

Fremont, CA20y exp
MetaOsmania University

Engineering leader/player-coach who built and owned end-to-end sales-facing data products, including a 360° advertiser insights platform and a sales AI agent for natural-language access to insights. Demonstrated strong architecture and reliability chops (event-driven redesign to eliminate Hive-query throttling; batching/caching to reduce fan-out) plus incident ownership around ads attribution consistency. Also has 0→1 experience building graph-based recommendation/matching systems with explainability and tight user feedback loops.

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SL

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

California, USA5y exp
StripeUniversity of Central Missouri

Backend/AI engineer currently at Stripe building Minions, an internal LLM-based developer agent that automates code generation, bug fixes, and PR creation. They combine strong production LLM architecture skills with reliability engineering, having improved routine PR merge times by ~40-45%, lowered post-merge bug rates by 12%, and previously built an invoice-processing pipeline that achieved 91% straight-through processing in a B2B payments context.

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