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Vetted Test Automation Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in cloud storage and developer tooling
Senior Full-Stack Engineer specializing in integrations, microservices, and data platforms
Richard Jackson
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
“Backend/ML platform engineer with Google experience leading Python microservices for an AI-driven recommendation/retrieval system, including PyTorch inference and a retrieval-augmented generation workflow. Strong in production Kubernetes + GitOps (ArgoCD), real-time Kafka/Spark pipelines, and phased on-prem/legacy to AWS/GCP cloud migrations with reliability-focused rollout and rollback practices.”
Pradeep Nadella
Mid-level AI/ML Engineer specializing in LLM optimization and real-time fraud/risk modeling
“ML engineer with 5 years at Stripe building and productionizing real-time fraud detection at massive scale (3M+ transactions/day; $5B+ annual payment volume). Delivered measurable impact (22% accuracy lift, 18% loss reduction, +3–5% authorization rates) and has strong MLOps/orchestration experience (Docker, Kubernetes, Airflow, MLflow, CI/CD, monitoring/rollback) plus a structured approach to LLM agent/RAG evaluation.”
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
Senior Software Engineer specializing in cloud infrastructure, payments, and AI products
Staff-level Software Engineer specializing in distributed systems and ML infrastructure
Senior Full-Stack Software Engineer specializing in developer tools and QA automation
Software Development Manager specializing in multimodal visual search and AI platforms
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Mid-level Software Engineer specializing in healthcare IT and FinTech
Senior Python Engineer specializing in cloud infrastructure, media services, and IoT
Senior Software Engineer specializing in backend systems, connectivity testing, and cloud pipelines
Principal Site Reliability Engineer specializing in cloud, DevSecOps, and platform reliability
Senior Full-Stack Engineer specializing in cloud-native AI SaaS platforms
Hatem Zeine
Executive CTO and Founder specializing in wireless power, RF systems, and cloud platforms
“Serial entrepreneur with multiple startups and demonstrated VC fundraising experience, including raising $125K for a current business plan and building investor relationships across several VC firms. Driven by tackling difficult problems and assessing opportunities through a lens of solution creativity and team execution, while prioritizing sustainable quality of life.”
Senior Full-Stack Engineer specializing in microservices, data pipelines, and cloud platforms
Vernon Quan
Senior Full-Stack Software Engineer specializing in TypeScript, React, and Node.js
“Meta engineer who owned a heavily used internal goals/performance management feature end-to-end, driving major responsiveness improvements by restructuring frontend data loading and adding backend caching (Memcached), cache warmups, and query/index tuning. Strong focus on production quality: observability, error monitoring, and improving test coverage to prevent regressions during peak review cycles.”
Arijit Das
Executive engineering leader specializing in AI, cloud, and FinTech transformation
“Fintech operator at Upstart with hands-on experience in lending underwriting and verification automations, now developing a fully automated HELOC product aimed at reducing funding timelines from 30-45 days to 5 days. Brings strong market conviction in the HELOC space and has already spoken with fintech investors interested in a white-label solution for banks and credit unions.”
Sahitya Thota
Staff/Tech Lead Software Engineer specializing in identity, data platforms, and cloud systems
“Engineering leader/player-coach who built and owned end-to-end sales-facing data products, including a 360° advertiser insights platform and a sales AI agent for natural-language access to insights. Demonstrated strong architecture and reliability chops (event-driven redesign to eliminate Hive-query throttling; batching/caching to reduce fan-out) plus incident ownership around ads attribution consistency. Also has 0→1 experience building graph-based recommendation/matching systems with explainability and tight user feedback loops.”