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Vetted Amazon CloudWatch Professionals
Pre-screened and vetted.
Kevin Lee
Senior Software Engineer specializing in scalable backend and platform systems
“Backend/data engineer with hands-on production experience across GCP (FastAPI microservices on Kubernetes) and AWS (Lambda, ECS Fargate, Glue). Has modernized legacy SAS batch systems into Python services with parallel-run parity validation, and has strong operational rigor in ETL reliability/monitoring plus proven SQL tuning impact (25s to <300ms, ~60% CPU reduction).”
Subhash Mothukuru
Mid-level Machine Learning Engineer specializing in LLMs, generative AI, and MLOps
“Built and shipped a production LLM-powered medical scribe that generates structured clinical visit summaries using RAG, strict JSON schemas, and post-generation validation to reduce hallucinations. Experienced in making LLM workflows deterministic and observable (structured logging/metrics/tracing) and in evaluation-driven iteration with metrics like schema pass rate and edit rate; collaborated closely with clinicians and policy stakeholders at Scale AI to drive adoption.”
Abhishek Soppanna
Mid-level DevOps Engineer specializing in cloud-native infrastructure on AWS and Azure
“DevOps/SRE focused on cloud-based distributed systems, with strong hands-on Kubernetes production experience (microservices deployments, Helm, probes, resource tuning, CI/CD and Docker build standardization). Demonstrated end-to-end troubleshooting across application, infrastructure, and networking layers—e.g., isolating degraded storage via node disk I/O metrics and restoring performance by draining the node and replacing the volume. Builds Python automation for operational reliability, including scheduled Kubernetes secrets rotation integrated with an external secret manager.”
Marcos Lopez
Senior Full-Stack Engineer specializing in cloud-native web apps and data pipelines
“Backend/data engineer with healthcare/telehealth domain experience, building patient appointment and data-processing systems on AWS. Has delivered production microservices and ETL pipelines (Flask/Celery, Glue/PySpark) with strong reliability/observability practices (JWT, retries/timeouts, Sentry/CloudWatch) and modernization experience migrating SAS workflows to Python services, including a documented 10min→30sec SQL performance win.”
Mid-level Full-Stack Python Developer specializing in FinTech and ML-driven automation
Senior Software Engineer specializing in full-stack web platforms and cloud-native backend systems
Junior Software Development Engineer specializing in automated reasoning and AI safety
Senior Software Engineer specializing in distributed systems and streaming platforms
Mid-Level Software Engineer specializing in Python backend and ML infrastructure
Mid-level Software Engineer specializing in backend and AWS cloud infrastructure
Junior Software Development Engineer specializing in AI agents and personalization
Senior Full-Stack Software Engineer specializing in React and Node/Python in regulated systems
Mid-level Full-Stack Developer specializing in Java/Spring Boot microservices and React on AWS
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
Intern Machine Learning & Cloud Engineer specializing in cloud-native deployment and forecasting
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms