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Vetted Regression Testing Professionals
Pre-screened and vetted.
Senior Agentic AI & Backend Engineer specializing in LLM platforms and multi-agent systems
Intern AI/ML Engineer specializing in LLM agents, RAG, and low-latency systems
Senior Applied Scientist specializing in LLMs, GenAI systems, and AutoML
Staff Software Engineer specializing in backend platforms and cloud-native systems
Director-level Product Manager specializing in enterprise SaaS and AI workflow automation
Senior Software Engineer specializing in scalable backend microservices and cloud platforms
Intern Software Engineer specializing in ML and data pipelines
Staff Machine Learning Engineer specializing in LLMs and cloud-native AI platforms
Intern Software Engineer specializing in ML and data pipelines
Christopher Kanten
Senior Backend Engineer specializing in Node.js, Java, and regulated SaaS platforms
“Built a production LLM-powered root cause analysis agent for supply chain alerts that helped operations managers avoid manual dashboard investigation. Demonstrates unusually strong depth in agent reliability, orchestration, and observability, with concrete production practices like hallucination blocking, shadow testing on 500 cases, and data-driven improvements that raised user agreement to 94% while cutting GPT-4 usage by 60%.”
Kishan H
Senior Full-Stack Engineer specializing in Java microservices and cloud-native platforms
“Backend-focused engineer with Walmart Global Tech experience building shipment and seller workflow systems using Spring Boot, GraphQL, Kafka, and async processing. Stands out for improving bulk label API performance by 60-75%, designing item-level partial-failure workflows that improved user clarity, and also exploring AI-powered debugging/RCA platforms with Java, Python, LangChain, and LLM integrations.”
Vinay Ramrupe
Mid-level AI/ML Engineer specializing in LLM and enterprise generative AI
“ML/AI engineer focused on taking LLM systems from experimentation to reliable production, including enterprise copilot and RAG-based knowledge retrieval use cases. Stands out for combining data pipelines, model training, inference optimization, automated evaluation, and safety guardrails, with cited impact including 20% throughput gains and 30% less manual evaluation effort.”
VP Software Engineering Manager specializing in full-stack platforms, data, and AI in FinTech
Senior QA Engineer specializing in compliance, regression, and console game testing
Senior Full-Stack Engineer specializing in cloud platforms, DevOps, and SRE
Senior QA Automation Engineer specializing in web, mobile, and API testing
Senior QA Automation Engineer specializing in web, mobile, and hardware testing
Senior QA & Localization Professional specializing in mobile apps and conversational AI
Senior Software Engineer specializing in healthcare imaging and FinTech systems