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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 DevOps & Cloud Engineer specializing in Kubernetes, multi-cloud, and LLMOps
Senior Software Engineer specializing in cloud-native security and API platforms
Mid-level AI Software Engineer specializing in LLMs, NLP, and MLOps for healthcare
Senior Software Engineer specializing in backend, cloud platforms, and AI/ML
Senior Full-Stack Software Engineer specializing in scalable web platforms and ML systems
Mid-level Full-Stack Engineer specializing in AI agent infrastructure
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.”
Tanya Rodrigues
Mid-level Software Engineer specializing in cloud-native AI and full-stack systems
“Application-focused software engineer working on AI-heavy products, with hands-on experience building end-to-end document processing, retrieval, and configurable workflow systems. Particularly strong in combining React/TypeScript UX, FastAPI/Postgres backend design, and LLM workflow reliability improvements through validation, prompt iteration, and reusable abstractions.”