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Vetted Regression Testing Professionals
Pre-screened and vetted.
Senior QA Engineer specializing in manual testing for mobile and web applications
Senior SDET specializing in eCommerce QA automation and performance testing
Mid-level QA Engineer specializing in manual, automated, API, and mobile testing
Senior Payroll QA Analyst specializing in HRIS, automation, and compliance
Senior QA Automation Lead specializing in mobile and API testing
Senior QA Analyst specializing in API, integration, and data-driven testing
Senior Business Analyst / QA Lead specializing in cloud, security, and enterprise testing
Senior QA Engineer specializing in test automation for web, API, mobile, and cloud platforms
Junior QA Analyst specializing in telecom testing and data-driven insights
Senior QA Lead specializing in video game testing and post-deployment support
Mid-level QA Automation Engineer specializing in healthcare test automation and DevOps
Mid-level QA Engineer specializing in test automation, API testing, and performance testing
Director of Architecture & Data Engineering specializing in enterprise data platforms
Chukwuebuka Ernest-Opara
Mid-Level Full-Stack Software Engineer specializing in Cloud, DevOps, and Platform Engineering
“Backend/Node.js-focused engineer who improved a widely used shared config/logging utility library by fixing a real-world async race condition (single disk read under concurrency) and adding stronger validation/testing, resulting in more deterministic services and faster startup/build/CI times. Also builds internal platform automation spanning Python/Go/TypeScript with strong documentation practices and security-conscious customer onboarding (e.g., sensitive Kubernetes clusters, HashiCorp Vault access issues).”
Chandini Sattineni
Mid-level Software Engineer specializing in full-stack web, Go microservices, and AI integrations
“Backend/LLM engineer who ships production internal tooling end-to-end: automated data-request processing with monitoring-driven improvements (better error diagnostics and lower latency via query/index tuning). Also built a RAG-based internal Q&A system over company docs and operational logs with guardrails (similarity thresholds, fallbacks, response limits) and an eval loop using real user queries and human review to drive prompt/retrieval changes.”
Gowtham Kota
Mid-Level Full-Stack Software Engineer specializing in React, Java/Spring Boot, and AWS
“Full-stack product engineer who has shipped customer-facing features end-to-end, including a product detail page backed by Java/Spring Boot microservices and a React/TypeScript UI. Demonstrated measurable impact through performance and maintainability improvements (30% faster APIs, 25% less duplicated UI code, 40% reduced API complexity via GraphQL) and has operated/scaled apps on AWS with CI/CD, monitoring, and incident-driven scaling fixes.”
Atharva Pandkar
Junior AI/ML Engineer specializing in LLM agents and RAG systems
“Built and deployed a production, multi-tenant modular agentic AI platform at Easybee AI, using LangChain/LangGraph with Redis-backed durable state to make agents reusable, traceable, and auditable. Emphasizes reliability via strict tool schemas, deterministic controllers, tenant-level policy enforcement, and regression testing derived from real production failures; also delivered AI automation for legal/finance workflows (attorney draw and expense automation) with explainable, deterministic payouts.”