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Vetted Amazon SQS Professionals
Pre-screened and vetted.
Senior Full-Stack Developer specializing in Python, .NET, and AWS for financial data platforms
Mid-Level Full-Stack Engineer specializing in AWS, data pipelines, and SaaS analytics
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Senior Software Developer specializing in cloud-native microservices and GenAI/ML
Mid-level Machine Learning Engineer specializing in Generative AI, LLMs, and MLOps
Junior Machine Learning Engineer specializing in healthcare AI and GenAI RAG
Intern/Entry Full-Stack Software Engineer specializing in backend APIs and AWS
Senior .NET Developer specializing in cloud-native microservices and modern web apps
Punith Jayaramu
Mid-Level Full-Stack Software Engineer specializing in FinTech and Mortgage systems
“Full-stack engineer with deep AWS serverless and reliability experience in fintech/underwriting systems, including eligibility scoring and dynamic rule deployments. Built and productionized an LLM-powered incident RCA assistant (Bedrock Claude 3 + custom RAG + React) achieving 92% precision and ~75% MTTR reduction, with mature guardrails (evals, drift monitoring, HITL, audit logs) and strong operational rigor (canaries, chaos testing, DLQ remediation).”
Adithya Gururaj
Junior AI Engineer specializing in agentic AI, RAG, and voice/telephony systems
“LLM/agent engineer who has built production multi-agent systems (LangChain/LangGraph) for enterprise workflows like email and calendar automation, with a strong focus on latency, tool-calling accuracy, and evaluation via LangSmith. Also worked on AI long-term memory using knowledge graphs at VEAI and communicated the approach and tradeoffs to CEO/CTO stakeholders.”
jack green
Executive CTO specializing in SaaS product and engineering leadership
“Engineering/product leader in early-stage environments who has repeatedly driven major pivots and scaling efforts: pandemic-era refactor at NameCoach and multi-community expansion at Nolodex (now ~20 communities). Comfortable going from executive roadmap/stakeholder alignment to hands-on implementation (e.g., webhooks), and has led architecture shifts (monolith-to-distributed, Heroku-to-AWS) while managing outsourced/offshore teams through organizational friction.”
Principal Software Architect specializing in Healthcare IT and cloud-native systems
Senior Product Manager / Project Manager specializing in data platforms, BI, and cloud transformation
Mid-level Full-Stack Software Engineer specializing in cloud backends and applied AI
Senior Full-Stack Java Developer specializing in AWS cloud and microservices
Vijay Kumar
Mid-level Cloud/DevOps Engineer specializing in AWS automation and CI/CD
“AWS Cloud DevOps Engineer focused on production Linux environments, building secure CI/CD pipelines (Jenkins/GitHub) to deploy Dockerized services to AWS ECS and automating infrastructure with Terraform/CloudFormation. Strong in operational troubleshooting and scaling (CloudWatch-driven performance remediation, Auto Scaling/ELB, multi-AZ HA patterns), but explicitly does not have IBM Power/AIX or PowerHA/HACMP experience.”