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Vetted RabbitMQ Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in Healthcare IT and mobile platforms
Senior Full-Stack Engineer specializing in frontend architecture, AI, and scalable web apps
Mid-Level Backend Software Engineer specializing in payments and real-time analytics
Senior Software Engineer specializing in real-time web, AI, and full-stack systems
Senior Full-Stack Software Engineer specializing in cloud-native web and mobile apps
Staff Full-Stack Software Engineer specializing in distributed systems and healthcare platforms
Senior Full-Stack Software Engineer specializing in web platforms and AI/ML-enabled services
Senior Full-Stack Software Engineer specializing in Java/Spring and modern web apps
Senior Python Backend Engineer specializing in cloud-native SaaS and microservices
Senior Full-Stack Developer specializing in cloud-native microservices and AI-driven healthcare apps
Senior Full-Stack Python Engineer specializing in cloud microservices and AI/LLM systems
Senior Software Engineer specializing in telehealth and e-commerce platforms
Mid-level Python Backend Developer specializing in cloud-native microservices and AI/ML platforms
Executive engineering leader specializing in AI/ML, cloud platforms, and enterprise software
Mid-level Software Engineer specializing in full-stack and distributed backend systems
Senior Software Engineer specializing in cloud security and identity management
Senior Full-Stack & AI/ML Engineer specializing in cloud-native SaaS and IoT analytics
Nishant Pathak
Executive Engineering Leader specializing in cloud-native platforms and security
“Former CTO of EzCred, a fintech embedded finance/digital lending infrastructure startup that built an API-first underwriting and servicing platform using alternative data (e.g., GST and bank statements) to cut loan decisions from days to minutes. Helped raise $1M in seed funding, built the engineering org and compliance-ready cloud architecture, and ran partner pilots before the company shut down during COVID-driven lending market contraction.”
Sara Rubacha
Engineering Manager specializing in databases and distributed systems
“Aspiring founder exploring an AI automation startup focused on automating processes involved in building companies. Not yet developed specific use cases or raised capital, but describes a clear plan to validate ideas through use-case research, building a pilot, and testing with early customers; not familiar with the VC/accelerator landscape yet.”
George Liu
Intern Software Engineer specializing in full-stack, backend, and AI agent systems
“Backend engineer with Tesla experience who redesigned vehicle registration into a step-based, region-configured workflow across 4–5 microservices, enabling partial saves and reducing customer drop-off. Has hands-on experience scaling and securing Python/FastAPI APIs (OAuth2/JWT, CORS), migrating cold data from MySQL to MongoDB via Kubernetes CronJobs, and implementing RBAC/RLS with Supabase + Postgres.”
Kevin Lee
Senior Software Engineer specializing in scalable backend and platform systems
“Backend/data engineer with hands-on production experience across GCP (FastAPI microservices on Kubernetes) and AWS (Lambda, ECS Fargate, Glue). Has modernized legacy SAS batch systems into Python services with parallel-run parity validation, and has strong operational rigor in ETL reliability/monitoring plus proven SQL tuning impact (25s to <300ms, ~60% CPU reduction).”
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.”
Shashank Sathola
Mid-level Python Backend Developer specializing in cloud-native microservices and AI/ML platforms
“Backend/AI engineer who built a production GPU-backed real-time inference API at Nvidia and debugged burst-induced tail latency, cutting P95 by ~29% through dynamic batching and backpressure. Also shipped an end-to-end RAG + agentic operational diagnostics assistant with strict tool controls, evidence citation, confidence gating, and strong production guardrails, plus demonstrated hands-on Postgres optimization (900ms to 40–60ms).”