.png){kind=logo}
Vetted AWS Professionals
Pre-screened and vetted.
Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Mid-Level Full-Stack Software Engineer specializing in cloud and kiosk applications
Engineering Leader specializing in FinTech, payments, and enterprise platforms
Executive COO specializing in infrastructure, cloud operations, and post-merger integration
Mid-level Cloud Security & DevSecOps Engineer specializing in AWS/Azure security automation
Mid-Level .NET Full-Stack Developer specializing in Azure cloud and SPA development
Senior Data Strategy & AI Product Consultant specializing in analytics platforms and privacy-safe measurement
Staff Frontend Technical Lead specializing in React/Next.js architecture and accessibility
Executive Enterprise Architect specializing in cloud, ERP/CRM, integrations, and AI/ML
Mid-Level Full-Stack Java Developer specializing in Spring Boot microservices and Angular
Director/VP Infrastructure & AI Platform Engineering specializing in on-prem GPU data centers
Mid-level Backend Software Engineer specializing in Java, Spring Boot, and AWS
Director of Information Security and Security Engineer specializing in cloud compliance
Tushar Gwal
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and MLOps
“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”
Bharath Reddy Nallu
Mid-level Machine Learning Engineer specializing in NLP and scalable MLOps
“Data/ML engineer in financial services (Northern Trust) who built a production RAG-based LLM system to connect structured transaction/portfolio data with unstructured market and internal documents for risk teams. Strong in end-to-end pipelines (AWS Glue/Airflow/PySpark), entity resolution, and taking models from prototype to reliable daily production with performance tuning (LoRA + TensorRT) and monitoring.”
Bhuvaneswari Kudaravalli
Mid-Level Full-Stack Software Engineer specializing in TypeScript, React/Next.js, and Node/Nest APIs
“Full-stack engineer who built and scaled an AI-powered web product (React/Next.js + TypeScript/NestJS) with MongoDB, Redis, and RabbitMQ. Strong in rapid iteration while maintaining production quality—uses versioned APIs, feature flags, CI/CD, and observability (correlation IDs/structured logs) to ship frequently and debug distributed workflows. Also created an internal operations dashboard for real-time visibility and control of background jobs/AI workflows that was adopted quickly by ops and product teams.”
Bhavesh Ittadwar
Senior Full-Stack Engineer specializing in scalable web and cloud systems
“JavaScript engineer who built a Michelin-specific headless CMS forms platform based on apostrophe-forms, powering forms across 400+ Michelin websites. Designed an extensible, SOLID-aligned modular field architecture with a shared design system, cutting hundreds of lines of per-project code across 10+ implementations while driving cross-device compatibility and performance (BrowserStack, Lighthouse, SSR).”
Praniket Ketan Walavalkar
Junior AI Software Engineer specializing in RAG agents and cloud data platforms
“AI Software Engineer (student employee) at University of Washington IT who helped deploy "Purple," a governed, explainable LLM platform on Azure used by 100,000+ students/faculty/staff. Independently led scalable reliability efforts by building automated agent quality/load/red-team testing and CI/CD health validation (Playwright/Node.js, Azure DevOps), and previously built an explainable AI scheduling assistant for clinical operations at Proliance Surgeons.”