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Vetted Amazon DynamoDB Professionals
Pre-screened and vetted.
Mid-level DevOps Engineer specializing in cloud infrastructure and Kubernetes
Mid-level Software Engineer specializing in backend APIs and data pipelines
Mid-Level Full-Stack Software Engineer specializing in scalable web platforms and APIs
Intern/Entry Full-Stack Software Engineer specializing in backend APIs and AWS
Mid-level Full-Stack Developer specializing in Python and Next.js cloud-native systems
Senior DevOps & Cloud Engineer specializing in Kubernetes, multi-cloud, and LLMOps
Mid-level DevOps Engineer specializing in cloud infrastructure and CI/CD
Senior .NET Developer specializing in cloud-native microservices and modern web apps
Senior Full-Stack Developer specializing in Python, Django, React, and cloud-native SaaS
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).”
sai anuragh Sangoju
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
“Built and deployed a production LLM-powered university support chatbot on Azure using a RAG pipeline, focusing on reducing hallucinations, improving latency, and handling ambiguous queries via confidence checks and clarification prompts. Also has hands-on orchestration experience (Airflow/Azure Data Factory), including hardening a demand-forecasting ingestion workflow with sensors, retries, and automated alerts, and uses a metrics-driven testing/monitoring approach for reliable AI agents.”
Mohammed Saalim Kartapillai
Senior Backend/Full-Stack Engineer specializing in data platforms and cloud microservices
“Backend engineer who built and shipped an end-to-end AI outreach product (LazyMails) combining a LinkedIn-scraping Chrome extension with a FastAPI/Postgres backend and Gemini-powered email generation, achieving major personal productivity gains. Also has enterprise experience at TCS on Humana’s 500k+ user wellness platform running Kubernetes microservices with Azure DevOps CI/CD, plus Kafka-based real-time eligibility event streaming and GitOps-driven operations.”
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Principal Software Architect specializing in Healthcare IT and cloud-native systems
Mid-level Full-Stack Developer specializing in cloud-native web applications
Senior Backend Engineer specializing in cloud-native microservices and AI integrations
Mid-level Backend Engineer specializing in cloud-native microservices and FinTech systems
Senior Backend Python Engineer specializing in cloud-native APIs and data platforms
Mid-level Full-Stack Software Engineer specializing in cloud backends and applied AI
Senior Full-Stack Engineer specializing in Python and AWS-native application development