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Vetted Serverless Architecture Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in distributed backend services and data pipelines
Director of Compiler Engineering specializing in AI/ML compilers and data platforms
Mid-Level Software Engineer specializing in cloud-native microservices and AI/ML
Mid-Level Software Development Engineer specializing in AWS cloud, data pipelines, and MLOps
Mid-Level Software Development Engineer specializing in AWS serverless, security, and ML platforms
Mid-level Machine Learning Engineer specializing in recommender systems and LLM/RAG pipelines
Mid-level Full-Stack Developer specializing in cloud-native microservices and commerce platforms
Mid-level Full-Stack Python Developer specializing in cloud-native microservices
Senior Software Engineer specializing in Python and AWS cloud-native backend systems
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Junior AI/ML Engineer specializing in LLMs, RAG, and document intelligence
Senior Software Engineer specializing in cloud-native healthcare and financial services
Mid-level Backend & Full-Stack Engineer specializing in AWS serverless systems
Executive Engineering Leader specializing in AI-native healthcare platforms
Pavan Devulapalle
Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development
“Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).”
Rohith M
Mid-level Full-Stack Developer specializing in AWS serverless and Java/Spring
“Built and shipped a production generative-AI recipe feature on AWS serverless (Lambda + Bedrock), evolving it post-launch from fully AI-generated outputs to user-guided structured generation based on real usage patterns and system metrics. Emphasizes reliability via prompt constraints plus deterministic validation, with automated/human eval loops and CloudWatch-based observability to manage latency, cost, and output consistency.”
Kourosh Amin-Tehrani
Principal Enterprise Cloud Architect specializing in secure modernization and AI-ready infrastructure
“Bootstrapped founder building a cybersecurity framework for cloud-native applications and startups, differentiated by significantly faster end-to-end cloud environment delivery than traditional consulting. Has experience navigating pricing models (fixed price vs time & materials) using MVP and phased delivery, and has strong familiarity with the VC/accelerator landscape with interest in healthcare (details under NDA).”