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Vetted Amazon CloudWatch Professionals
Pre-screened and vetted.
Technology Executive specializing in AI-native engineering and cybersecurity governance
Senior Backend Engineer specializing in Python and AWS cloud services
Senior Software Engineer specializing in Python and AWS cloud-native backend systems
Staff Software Engineer specializing in enterprise SaaS, AI assistants, and distributed systems
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Senior Software Engineer specializing in Python, AI/ML, and AWS cloud-native systems
Mid-level AI/ML Data Engineer specializing in data pipelines, MLOps, and LLM/RAG systems
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Mid-level Full-Stack Developer specializing in cloud-native apps, AI/ML, and microservices
Executive Engineering Leader specializing in AI automation and cloud platforms
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Mid-Level Full-Stack Python Engineer specializing in AI-powered web apps and cloud-native systems
Senior Cloud Security Engineer specializing in AWS security, IAM governance, and DevSecOps
Peeyush Dyavarashetty
Intern AI/ML Engineer specializing in GenAI, LLMs, and agentic RAG systems
“AI/LLM practitioner who built a GPT-2-like language model from scratch at the University of Maryland using PyTorch and multi-GPU distributed training, with experiment tracking in Weights & Biases. As an AI Operations intern at ScaleUp360, delivered multiple production-style AI agent automations (Gmail classification and Fireflies-to-Claude workflows that extract and assign CEO tasks) and set up measurable evaluation using test cases and classification metrics.”
Pavan Devulapalle
Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development
“Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).”
Vignesh Shanmugasundaram
Junior Software Engineer specializing in full-stack development and applied ML
“Full-stack engineer with experience at Zoho and Amazon who has owned production systems end-to-end, including a monolith-to-microservices migration using Kafka and Cassandra that improved search latency ~25% and increased throughput without data loss. Also built a hackathon project (Buildwise) into a sold product for a construction company (AI-driven document compliance checks) and shipped an IoT-based parking availability MVP in 3 weeks.”
Justin Turner
Executive Technology Leader (CTO/CIO/CISO) specializing in cloud, security, and data platforms
“CTO-level technology leader with experience building end-to-end tech strategy and roadmaps, modernizing legacy environments in healthcare (GenesisCare), and scaling engineering into large global teams (Amadeus). Built a DevOps organization at Syniverse for the Visibility Suite, implementing Kubernetes/Terraform/Chef automation that drove ~75% faster deployments, and is known for staying hands-on (including data center work) while leading strategically.”