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Vetted AWS IAM Professionals
Pre-screened and vetted.
Sai Prakash Sasubilli
Mid-level Full-Stack Software Engineer specializing in cloud-native web apps and AI agents
“Full-stack system analyst/programmer at PeakPlay Sports (startup) who built an AI "coach" product end-to-end in ~2 months, using a LangGraph-orchestrated multi-agent architecture with a FastAPI backend. Shipped production RAG grounded in athlete history (OpenAI embeddings + vector store) with guardrails and a structured eval loop (golden set + LLM-judge + human review) to improve engagement and reduce hallucinations.”
Trilok Kambham
Junior Full-Stack Developer specializing in React, Node.js, and AI/LLM integrations
“Full-stack developer who owned and shipped an end-to-end web application for LeafNBeyond (React/Node/Postgres), deployed to production at leafnbeyond.com, with reported 35% sales growth and strong UX feedback. Also built Azure-based ETL pipelines using lakehouse/medallion architecture with validation and retry logic, and has AWS fundamentals from a master’s coursework (EC2, RDS, IAM, load balancing).”
Utkarsh Vijayvergia
Entry-level Software Engineer specializing in full-stack, cloud, and AI systems
“Builder with hands-on experience shipping full-stack products across AWS cloud infrastructure, React/TypeScript apps, SQL-backed systems, and privacy-focused AI workflows. Stands out for combining cost-aware architecture, strong debugging instincts, and product thinking—from an e-commerce platform automated with IaC to a university admin portal serving 10,000+ users and a locally run AI assistant with configurable guardrails.”
Pujitha Sangaraju
Mid-Level Embedded Software Engineer specializing in real-time firmware and industrial automation
“Robotics software engineer focused on reliability in real-time sensor pipelines and ROS/ROS2 integration, with hands-on experience hardening systems against noisy data, dropouts, and network variability. Uses ROS introspection tools plus simulation (Gazebo/Webots) to diagnose latency and stability issues before hardware deployment, and supports repeatable rollouts via Docker and CI/CD.”
Junior Full-Stack Engineer specializing in serverless AWS and e-commerce platforms
Mid-Level Backend Engineer specializing in Python/Django and AWS Serverless
Mid-Level Software Engineer specializing in cloud platforms, search/LLM systems, and payments
Mid-Level Full-Stack Developer specializing in analytics dashboards and cloud infrastructure
Junior Software Engineer specializing in Python automation and AWS DevOps
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Data Analyst specializing in BI, reporting automation, and operational analytics
Principal Full-Stack AI Engineer specializing in LLM-powered web and mobile products
Entry-Level Machine Learning Researcher specializing in HPC telemetry modeling
Mid-level Software Systems Engineer specializing in cloud infrastructure and AI applications
Mid-Level Full-Stack Software Developer specializing in cloud-native web applications
Mid-level Software Engineer specializing in backend systems, data pipelines, and AI/RAG
Mid-level Software Engineer specializing in full-stack web and cloud systems
Mid-level Software Engineer specializing in Generative AI and cloud-native microservices