.png){kind=logo}
Vetted Performance Testing Professionals
Pre-screened and vetted.
Executive CTO specializing in Generative AI, GPU computing, and 3D graphics
Senior Full-Stack Software Engineer specializing in cloud storage and developer tooling
Senior Full-Stack Python Engineer specializing in scalable, secure platforms and AI integrations
Senior Software Engineer specializing in LLMs, semantic search, and cloud platforms
Senior Full-Stack Engineer specializing in streaming, personalization, and AI/ML platforms
Senior Full-Stack Software Engineer specializing in developer tools and QA automation
Andrew Stewart
Senior Software Engineer specializing in Healthcare AI and FinTech platforms
“Google Health engineer who owned and shipped an AI-powered clinical insights dashboard and NLP clinical note extraction service end-to-end (React/Next.js frontend; Python/Node microservices on GKE; TensorFlow transformers; BigQuery analytics). Demonstrated strong production rigor (CI/CD, testing, observability, guardrails for sensitive data) and delivered measurable outcomes including 30% faster diagnostics, 40% less manual documentation, 15% higher adoption, and 25% lower ops costs.”
Senior QA & Product Quality Leader specializing in mobile automation and quality programs
Senior Software QA Engineer specializing in web, mobile, and AR/VR testing
Senior Machine Learning Engineer specializing in LLMs and scalable MLOps
Senior Python Backend Engineer specializing in cloud-native SaaS and microservices
Senior Software Engineer specializing in Unity, multiplayer networking, and AI/LLM integration
Rodolfo Garcia
Senior QA Test Analyst specializing in game and service testing
“Game QA/automation tester with experience at Blizzard, Bossfight Entertainment, and Netflix, spanning manual-to-automation transitions, Selenium/C# UI automation, and CI/CD nightly reporting via TestRail. Known for an end-user-driven test strategy, strong defect isolation (including crash dumps), and cross-functional test planning that influenced multiplayer UX/design decisions.”
Ronald Nap
Intern Machine Learning & AI Engineer specializing in computer vision and ML systems
“Robotics/ML engineer with internship experience at Valeo building a deep-learning prototype to replace parts of a legacy SLAM backend for autonomous parking, focused on making models run reliably in real time on embedded hardware (quantization/distillation + TensorRT). Also brings strong MLOps/deployment experience (Docker, Kubernetes on AWS EKS, CI via GitHub Actions) and has supported patent filing by explaining the technical approach to legal stakeholders.”
Jeyapriya Suresh Kumar
Mid-level QA Engineer specializing in hardware/software device validation and automation
“QA professional with experience at Google and Meta, focused on end-to-end functional/regression testing, disciplined bug reporting (including ADB logs), and release readiness via staging build promotion and gating on critical/high-priority issues. Emphasizes PRD-driven test planning, edge-case coverage (e.g., low connectivity/low battery), and thorough verification across build versions.”
Marcos Lopez
Senior Full-Stack Engineer specializing in cloud-native web apps and data pipelines
“Backend/data engineer with healthcare/telehealth domain experience, building patient appointment and data-processing systems on AWS. Has delivered production microservices and ETL pipelines (Flask/Celery, Glue/PySpark) with strong reliability/observability practices (JWT, retries/timeouts, Sentry/CloudWatch) and modernization experience migrating SAS workflows to Python services, including a documented 10min→30sec SQL performance win.”
Senior QA Engineer specializing in VR/AR, gaming, and AI product quality
Director-level Software Development Manager specializing in distributed systems and cloud platforms
Mid-level Full-Stack Developer specializing in cloud-native microservices
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Christopher Chu
Senior Backend Engineer specializing in distributed systems and cloud microservices
“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”
VP Software Engineering Manager specializing in full-stack platforms, data, and AI in FinTech