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Vetted AWS Glue Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in AI platforms and cloud-native systems
Senior Backend/Full-Stack Developer specializing in AWS serverless microservices
Senior Backend Developer specializing in AWS serverless and Python ETL
Senior AI Engineer specializing in Generative AI and cloud-native ML platforms
Senior Software Engineer specializing in cloud-native backend and full-stack web systems
Mid-level AI/ML Data Engineer specializing in MLOps and Generative AI
Mid-level Full-Stack MERN Engineer specializing in cloud platforms
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Entry-Level Software Engineer specializing in full-stack, data engineering, and AI systems
Senior AI/ML Engineer specializing in Generative AI, RAG, and multimodal LLM systems
Mid-level Backend & Blockchain Developer specializing in Web3 and cloud-native systems
Senior Software Engineer specializing in backend, AWS cloud infrastructure, and data pipelines
Junior AI/ML Engineer specializing in Generative AI production systems
Mid-Level ML/AI Engineer specializing in LLMs, RAG, and multi-agent systems
Mid-level Java Software Engineer specializing in backend systems and AI-integrated platforms
Senior Machine Learning Engineer specializing in Generative AI and MLOps
Chinmoy Das
Mid-Level Full-Stack Software Engineer specializing in AI agents and cloud platforms
“Backend/data engineer focused on climate/emissions data platforms, building production Python (FastAPI) microservices and AWS serverless/ETL pipelines (Glue/Athena/Lambda/EventBridge). Demonstrated strong reliability and observability practices plus measurable optimization wins, including cutting PostgreSQL query runtimes from minutes to seconds and reducing AWS costs from ~$6k/month to ~$400/month.”
Sai Vamsee Bandaru
Entry-level Data Analyst and AI Engineer specializing in machine learning and LLM systems
“Founding-engineer-oriented full-stack product engineer who built an AI tutor system end-to-end, spanning React UI, FastAPI backend, retrieval/LLM pipelines, and Postgres optimization. Stands out for combining product thinking with deep systems work: improving onboarding and activation, shipping quickly with beta users, and abstracting reusable retrieval infrastructure for multiple use cases.”
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.”
Mid-level Software Engineer specializing in cloud microservices and AI search
Junior Machine Learning Engineer specializing in healthcare and IT analytics