Vetted Software Developers in Washington

Pre-screened and vetted in Washington.

Kaiqi Zhang - Senior Full-Stack Engineer specializing in cloud-native SaaS and AI applications in Bellevue, WA

Kaiqi Zhang

Screened

Senior Full-Stack Engineer specializing in cloud-native SaaS and AI applications

Bellevue, WA13y exp
MetaSyracuse University

ML/LLM engineer with hands-on experience shipping production RAG systems at Google Clinical Search and GenAI recommendation/summarization features in Meta Ads. Stands out for combining research-to-production execution with rigorous grounding, evaluation, safety checks, and reusable Python platform components that improved both reliability and team velocity.

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BM

Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps

Greater Seattle Area, WA9y exp
Orby AIGeorgia Tech
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SM

Executive Cybersecurity & Resilience Leader specializing in Payments and FinTech

Seattle, WA15y exp
AmazonBITS Pilani
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BB

Mid-level Software Engineer specializing in backend and cloud microservices

Washington, USA4y exp
BNY MellonUniversity of Washington
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Jay Lee - Senior Full-Stack Engineer specializing in frontend architecture, AI, and scalable web apps in Seattle, WA

Senior Full-Stack Engineer specializing in frontend architecture, AI, and scalable web apps

Seattle, WA12y exp
thoughtbotUCLA
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SS

Director-level Software Development Manager specializing in AWS infrastructure and distributed systems

Seattle, WA7y exp
AmazonArizona State University
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Osvaldo Calles - Senior Software Engineer specializing in developer tools, cloud automation, and generative AI in Redmond, WA

Senior Software Engineer specializing in developer tools, cloud automation, and generative AI

Redmond, WA13y exp
AmdocsUniversidad Autónoma de Guadalajara

Built and deployed a production chatbot on osvaldocalles.com and iterated through real-world LLM engineering issues: model quota/cost tradeoffs (migrating to Nova Pro), RAG accuracy via semantic chunking, AWS IAM/guardrail/security pitfalls, and Lambda/API Gateway streaming constraints (prefers JS for streaming layer). Experienced with agent orchestration using Strands SDK (AWS-focused) and LangGraph (Vercel/container deployments), plus evaluation pipelines using LLM-as-evaluator, dashboards, and staged model rollouts.

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SR

Mid-level Software Engineer specializing in backend, distributed systems, and ML-integrated platforms

Bellevue, WA5y exp
UberUniversity of Florida

Built and shipped production AI systems spanning customer support automation at Uber, privacy-preserving federated health modeling on iOS, and an open-source semantic search layer for Postgres. Stands out for combining strong LLM/product instincts with rigorous eval design, measurable production impact, and zero-to-one execution across backend, mobile, and developer infrastructure.

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VS

Junior Software Developer specializing in AWS cloud and data pipelines

Seattle, WA3y exp
AmazonNYU
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SM

Senior Software Engineer specializing in FinTech and distributed systems

Seattle, WA6y exp
AmazonUniversity of Cincinnati
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PM

Mid-Level Full-Stack Java Engineer specializing in cloud-native web applications

Bellevue, WA6y exp
SnowflakeUniversity of Texas at Arlington

Full-stack engineer (Snowflake) who shipped an AI/LLM-powered data exploration product end-to-end, spanning Spring Boot/Python services and a polished React UI with streaming responses and robust fallbacks. Experienced operating high-scale AWS deployments (Docker/Kubernetes, SNS/SQS, RDS Postgres, CloudWatch, Jenkins CI/CD) supporting thousands to tens of thousands of concurrent users, including handling real traffic-spike scaling incidents.

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JM

Staff Software Engineer specializing in XR, graphics, and volumetric video

Bellevue, WA17y exp
AndurilTexas A&M University
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SK

Mid-level Software Engineer specializing in backend systems and cloud data platforms

Seattle, WA5y exp
AmazonOhio State University
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Pavan Devulapalle - Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development in Seattle, WA

Pavan Devulapalle

Screened ReferencesModerate rec.

Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development

Seattle, WA3y exp
AmazonUniversity of Texas at Dallas

Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).

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PG

Mid-Level Software Engineer specializing in distributed backend systems and event-driven architecture

Seattle, WA4y exp
GEICOUniversity at Buffalo
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MD

Senior Backend Engineer specializing in Python and AWS cloud-native systems

Vancouver, WA13y exp
DeloitteWashington State University Vancouver
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AM

Mid-level Full-Stack Developer specializing in microservices and AWS DevOps

Seattle, WA5y exp
JPMorgan ChaseCleveland State University
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Velusamy Ramasamy - Principal Software Architect specializing in cloud platforms, data engineering, and enterprise security in Seattle, WA

Principal Software Architect specializing in cloud platforms, data engineering, and enterprise security

Seattle, WA29y exp
T-MobileGovernment College of Engineering, Tirunelveli

Engineering leader with experience defining solutions from business requirements through detailed specifications and implementation, emphasizing cost-aware technology selection. Has led architectural changes including adding IBM Cloud alongside AWS for budget reasons and integrating caching/messaging to improve availability and performance, and describes scaling distributed teams via experienced DevOps/QA hires and structured evaluation.

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Shriya Bannikop - Mid-level Software Engineer specializing in cloud platforms, data engineering, and distributed systems in Seattle, WA

Mid-level Software Engineer specializing in cloud platforms, data engineering, and distributed systems

Seattle, WA5y exp
Amazon Web ServicesKLE Technological University

Full-stack engineer who built and owned an AI-assisted job-matching dashboard in Next.js App Router/TypeScript, keeping LLM logic server-side and improving performance via deduplication, caching/revalidation, and streaming (35% fewer duplicate LLM calls; 40% faster first render). Also has strong data/backend chops: designed Postgres models and optimized queries at million-record scale (1.8s to 120ms) and built durable AWS multi-region telemetry workflows with idempotency, retries, and monitoring.

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