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Vetted Software Engineers in the Greater Seattle
Pre-screened and vetted in the Greater Seattle.
Ramya Reddy Bangaru
Senior Software Engineer specializing in cloud automation and distributed systems
“Developer with experience across Drupal and Java/Spring Boot applications using React/jQuery for UI and API-driven features. Has handled production issues by tuning reverse proxy timeouts for login problems and troubleshooting data pipeline inaccuracies by fixing database queries, with a focus on performance and careful verification before changes.”
Shweta Gupta
Senior Backend Software Engineer specializing in Java microservices, Kafka, and AWS
“AI engineer who shipped a production chat assistant for a storage company by building the underlying RAG-style knowledge base (document ingestion, chunking/embeddings, FAISS vector store) and an admin update interface to keep content current. Also has full-stack delivery experience (Python REST APIs + React/TypeScript UI) and AWS operations using Terraform/Jenkins, including handling a real production performance incident by optimizing DB queries and adding auto-scaling.”
Mid-level Software Engineer specializing in backend APIs, microservices, and cloud data platforms
Mid-level Backend Software Engineer specializing in distributed microservices
Mid-level Software Development Engineer specializing in FinTech and cloud-native microservices
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and GenAI
Mid-level QA Automation Engineer specializing in UI/API test automation and CI/CD
Mid-level Backend Software Engineer specializing in distributed systems and payments
Mid-Level Software Engineer specializing in full-stack, cloud, and LLM systems
Bhanu Gummadi
Mid-level Backend Software Engineer specializing in cloud-native microservices and FinTech
“Backend-focused engineer with Mastercard experience building and operating high-volume transaction-processing microservices. Has owned customer-facing banking services end-to-end and built an internal on-call analytics tool that centralized logs/metrics with real-time filtering to speed root-cause analysis and reduce incident investigation time.”
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
Senior Full-Stack Engineer specializing in cloud-native platforms and data engineering
Junior Software Engineer specializing in cloud-native microservices and systems optimization
Mid-Level Software Engineer specializing in full-stack, cloud-native systems and integrations
Senior Front-End/Full-Stack Engineer specializing in Angular and cloud enterprise platforms
Mid-level DevOps/MLOps Engineer specializing in AWS/GCP infrastructure and Kubernetes
Mid-Level Software Engineer specializing in backend, full-stack, and LLM systems
Senior Software Engineer specializing in LLM applications and RAG pipelines
Mid-level Software Engineer specializing in full-stack web development and QA automation
Mid-level Software Engineer specializing in AI/ML and cloud-native LLM applications
Mid-Level Full-Stack Software Engineer specializing in AWS cloud-native web apps
Praniket Ketan Walavalkar
Junior AI Software Engineer specializing in RAG agents and cloud data platforms
“AI Software Engineer (student employee) at University of Washington IT who helped deploy "Purple," a governed, explainable LLM platform on Azure used by 100,000+ students/faculty/staff. Independently led scalable reliability efforts by building automated agent quality/load/red-team testing and CI/CD health validation (Playwright/Node.js, Azure DevOps), and previously built an explainable AI scheduling assistant for clinical operations at Proliance Surgeons.”
Deepika Chudi
Mid-level Full-Stack Engineer specializing in React, TypeScript, and Spring Boot
“Full-stack engineer with strong Next.js App Router/TypeScript experience who built production dataset search/filtering and data-heavy dashboards backed by Postgres. Demonstrates hands-on performance work across the stack (EXPLAIN ANALYZE, composite indexes, caching, React profiling/memoization) and has built durable, Temporal-like orchestrated data-processing workflows with idempotency and retry strategies in an early-stage startup environment (Gaia AI).”