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Vetted Serverless Computing Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in cloud-native microservices and event-driven systems
Senior Full-Stack Engineer specializing in AI, cloud microservices, and blockchain
Staff Software Engineer specializing in scalable backend systems and observability
Senior Full-Stack Software Engineer specializing in cloud-native web apps and AI integrations
Executive CTO specializing in product scaling, cloud architecture, and AI platforms
Senior Cloud Infrastructure & DevOps Engineer specializing in AWS, Kubernetes, and automation
Staff Software Engineer specializing in frontend platforms and healthcare UX
Mid-Level Software Engineer specializing in FinTech, Treasury, and Compliance Systems
Staff Software Engineer specializing in cloud-native distributed systems for healthcare
Mid-level Full-Stack Developer specializing in cloud-native microservices and commerce platforms
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and RAG pipelines
Mid-Level Software Engineer specializing in FinTech, treasury systems, and real-time data pipelines
Senior Backend Engineer specializing in Python and AWS cloud services
Executive Data & AI Leader specializing in enterprise data platforms and multi-cloud transformation
Senior Cloud DevOps Engineer specializing in Azure/AWS and hybrid cloud migrations
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Junior AI/ML Engineer specializing in agentic AI and cloud optimization
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Aleric Patterson
Senior Backend/Platform Engineer specializing in Python and AWS
“Backend/data engineer with hands-on production experience across Python/FastAPI services and AWS (Lambda, API Gateway, SQS, ECS) delivered via Terraform and GitHub Actions. Built Glue-to-Redshift ETL pipelines with Step Functions retry/catch patterns, schema evolution safeguards, and data quality checks; also modernized a legacy SAS monthly reporting system into Python microservices with rigorous side-by-side parity validation. Demonstrated strong SQL tuning skills with a reported improvement from 5 minutes to 15 seconds.”
Meghashree N
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and cloud ML
“AI/ML engineer who has shipped both a safety-critical mental health RAG chatbot (Mistral 7B + Pinecone) with automated faithfulness/toxicity monitoring and a deep Q-learning investment recommendation engine at Lincoln Financial Group. Strong in production MLOps and orchestration (AWS Lambda/CloudWatch/SageMaker, Docker, AKS) and in translating regulated-domain requirements (clinical reliability, fiduciary duty) into measurable model constraints and monitoring.”
Nick Stoianov
Executive CTO & AI Systems Architect specializing in cloud platforms and RAG products
“Technology leader with experience owning enterprise roadmaps and executing large-scale platform standardization during rapid M&A—most notably driving a tech roadmap across a 37-company portfolio at Regent, tackling technical debt and security gaps via unified cloud-native architecture, IAM/logging, CI/CD, and a global SRE model. Previously scaled an Adobe engineering org from 8 to 40+ across four regions, implementing clear org design, KPIs, and an extreme-ownership culture to support 24/7 operations and enterprise needs.”