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Vetted Amazon EC2 Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in cloud-native apps, AI/ML, and microservices
Senior Cloud DevOps Engineer specializing in Azure/AWS and hybrid cloud migrations
Mid-level AI/ML Engineer specializing in NLP, transformers, and RAG systems
Intern Full-Stack Software Engineer specializing in scalable web platforms
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Senior Full-Stack Engineer specializing in backend systems and cloud-native microservices
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 Developer specializing in React, Node.js, and Spring Boot
Junior AI/ML Engineer specializing in agentic AI and cloud optimization
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Mid-level Full-Stack Developer specializing in AWS modernization and Java/Angular
Mid-level Cloud/DevOps Engineer specializing in AWS platform automation and CI/CD
Executive Engineering Leader specializing in cloud platforms, infrastructure, and SRE
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.”
Sharath Nyalakonda
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”