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Vetted Automated Testing Professionals
Pre-screened and vetted.
Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines
Mid-level Software Engineer specializing in cloud and full-stack web development
Mid-Level Software Engineer specializing in cloud platforms and AI agent integrations
Senior Full-Stack Engineer specializing in AWS, Ruby on Rails, and JavaScript
Junior GenAI/ML Engineer specializing in LLM agents and production NLP systems
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Senior DevOps/Site Reliability Engineer specializing in AWS and Kubernetes
Senior Full-Stack Software Engineer specializing in cloud-native platforms and Healthcare IT
Senior Software Engineer specializing in Cloud, DevOps, and Infrastructure as Code
Senior AI/ML Engineer specializing in conversational AI and ML platforms
Senior Full-Stack Software Engineer specializing in SaaS and healthcare platforms
Senior Software Engineer specializing in cloud-native microservices and real-time data pipelines
Executive AI Engineering Leader specializing in research-to-production LLM systems
Senior AI/ML Engineer specializing in production AI systems for healthcare and finance
Senior Software Engineer specializing in Healthcare IT and cloud-native microservices
Senior AI/ML Engineer specializing in ML infrastructure and conversational AI
Ashutosh Choudhari
Mid-level AI/ML Engineer specializing in LLM applications and cloud-native systems
“LLM engineer who has shipped production AI systems, including an RFP requirements extraction platform (OpenAI o4-mini + Azure AI Search + FastAPI) achieving 90%+ accuracy and ~5x throughput through grounding, structured outputs, parallelization, and caching. Also partnered with legal/compliance stakeholders at Nexteer Automotive to deliver an AI document comparison tool with traceability and confidence indicators, adopted by non-technical users and saving ~2 FTEs of review time.”
Devisri Veeramachaneni
Senior Software Engineer specializing in cloud backend systems and LLM-powered agents
“Amazon Fire TV Devices engineer who built and shipped a production LLM-powered lab triage and validation system that grounds recommendations in internal runbooks/known-issue data and pushes evidence-based actions via dashboards and Slack. Emphasizes safety and measurability with structured JSON outputs, replay-based evaluation on historical incidents, and production metrics (e.g., disagreement rate and time-to-first-action), plus cost/latency optimizations like caching, batching, and rule-based fast paths.”
Sarath Dunga
Mid-level Full-Stack Developer specializing in cloud microservices and AI/ML integration
“Full-stack engineer (~3 years) with eBay production experience building and operating high-scale, event-driven Python microservices for order processing and AI-powered recommendations (Kafka/Redis/FastAPI on AWS with Prometheus/Grafana). Also delivered polished React+TypeScript analytics dashboards and designed high-concurrency PostgreSQL schemas with significant latency reductions. Recently built AI-agent orchestration and an interactive node-based requirements dashboard for Siemens Polarion via MCP servers, improving user interaction by ~17.8%+.”