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Vetted Amazon EC2 Professionals
Pre-screened and vetted.
Naim San
Senior AI/ML Engineer specializing in Python, RAG systems, and LLM fine-tuning
“Built and owned an end-to-end RAG-based AI support platform at Mechanize (FastAPI/LangChain/Pinecone/React) with rigorous evals and guardrails, driving 45% fewer support tickets and ~$280K annual savings. Also led a high-risk legacy modernization at Argo AI, incrementally extracting a monolithic Django backend using Strangler Fig + feature flags while supporting 10K+ concurrent users.”
Nikhila Juttu
Senior Java Full-Stack Developer specializing in cloud-native microservices
“Software engineer/QA automation leader with Lowe’s experience owning automation quality strategy for a customer-facing platform supporting large contractor orders. Built TypeScript/React dashboards backed by Spring Boot microservices (MongoDB) and RabbitMQ async messaging, with strong CI/CD test automation and production monitoring (Prometheus/Grafana). Also created an internal automated test reporting dashboard that improved QA workflow through training-led adoption and iterative refinement.”
Chaitanya Bodayyagari
Mid-level Software Developer specializing in backend and full-stack enterprise applications
“Backend engineer with banking-domain experience building production microservices and Kafka-based transaction processing systems. While they have not yet shipped a full LLM agent, they bring relevant distributed-systems expertise in reliability, observability, idempotency, and event-driven workflow design, including a reported 15-20% performance improvement.”
Anil Sunkara
Senior Project Manager and Scrum Master specializing in enterprise Agile delivery
“Senior project/program leader with 19+ years of experience delivering enterprise B2B and SaaS implementations across highly regulated and operationally complex industries. Brings broad cross-domain expertise spanning CRM, IAM, IoT/fleet, data migration, and platform modernization, with repeated ownership of multi-project portfolios, executive governance, and go-live readiness for high-visibility enterprise releases.”
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Full-Stack Developer specializing in Java microservices and cloud (AWS)
Mid-Level Software Engineer specializing in backend, cloud, and AI/LLM systems
Mid-Level Software Engineer specializing in Full-Stack, Cloud, and Generative AI/LLMs
Junior Data Scientist specializing in machine learning and reinforcement learning
Mid-Level Software Engineer specializing in AI, cloud observability, and test automation
Intern Software Engineer specializing in AI agents and computer vision
Mid-level AI/ML Engineer specializing in risk modeling, NLP, and generative AI (RAG/LLMs)
Mid-level Data Analyst specializing in banking analytics and machine learning
Mid-level Full-Stack Software Engineer specializing in backend APIs and AWS cloud
Senior Cloud & DevOps Engineer specializing in AWS infrastructure, security, and automation
Mid-level Full-Stack Developer specializing in React/TypeScript and cloud-native microservices
Senior Full-Stack Software Engineer specializing in Java microservices and cloud-native platforms
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-Level Full-Stack Software Engineer specializing in Java microservices and cloud modernization
Mid-level Full-Stack Java Developer specializing in microservices and cloud Kubernetes
Mid-level Software Developer specializing in microservices, cloud platforms, and data engineering
Senior Full-Stack Java Developer specializing in cloud-native microservices