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Vetted Load Testing Professionals
Pre-screened and vetted.
Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving
Hassaan Khan
Executive Technology Leader specializing in distributed systems, cloud infrastructure, and AI/ML
“Engineering leader/player-coach who built and validated a preference-based recommendation engine using clustering, including generating test data to evaluate how clusters evolve over time. Has SRE/DevOps experience and has owned production incidents end-to-end (logging-driven RCA and refactoring patterns that failed at large data scale). Emphasizes quality and platform stability via unit, integration, and load testing, and has managed performance via regular 1:1s and PIPs.”
Senior Software Engineer specializing in distributed systems and high-scale backend platforms
Senior Full-Stack Software Engineer specializing in cloud storage and developer tooling
Staff Software Engineer specializing in ML infrastructure and data platforms
Senior Software Engineer specializing in LLMs, semantic search, and cloud platforms
Staff-level Software Engineer specializing in distributed systems and ML infrastructure
Senior Software Engineer specializing in distributed systems and cloud platforms
Senior Software Engineer specializing in FinTech payments infrastructure
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Senior Full-Stack Software Engineer specializing in scalable web platforms and cloud services
Senior Software Engineer specializing in distributed systems and cloud infrastructure
Jim Woodroffe
Executive Engineering Leader (CTO/VP) specializing in scaling platforms, AI, and cloud infrastructure
“Entrepreneurial operator who previously built an AI context layer for personal communication/relationships and has worked with a New York-based venture group to evaluate early-stage ideas from both technical and business angles. Currently exploring broad startup opportunities and collaborating with 2–3 early-stage companies, with a structured approach to assessing market outcomes, competition, and team fit.”
Madhumita Nagle
Software Engineering Manager specializing in Alexa AI and large-scale distributed systems
“Engineering manager/player-coach in the Alexa media ecosystem who led delivery of a Tier-1 gateway service enabling third-party providers (e.g., Spotify/Pandora) to control playback across users’ Echo devices, driving 10–15% lifts in engagement metrics. Deep in API design, AWS infrastructure choices (EC2 vs Fargate), OAuth/LWA auth flows, and production rigor (security reviews, load testing, feature-gated dial-ups), with demonstrated incident ownership and operational automation wins.”
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 Machine Learning Engineer specializing in LLMs and scalable MLOps
Senior Full-Stack Software Engineer specializing in web platforms and AI/ML-enabled services
Mid-level Software Engineer specializing in full-stack and distributed backend systems