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Vetted Amazon EMR Professionals
Pre-screened and vetted.
Jack Ahn
Executive Technology & R&D Leader specializing in Generative AI and Digital Health
“Hands-on engineering leader currently at Vianai (GenAI enterprise applications) building AI-assisted data exploration/insights products with Python and React. Previously Corporate VP of Digital Health at Samsung Electronics, where they helped close key partner deals by demonstrating API-driven openness and led a major Samsung Health modernization from monolith to microservices for horizontal scalability and faster, safer iteration.”
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Sudheer Bommichetty
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI
“Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).”
Executive Technology Leader specializing in AI/ML and Cloud Transformation
Director-level Data & AI Engineering Leader specializing in cloud-native analytics and GenAI
Principal Data Scientist specializing in Generative AI and security analytics
Madhumita Nagle
Software Engineering Manager specializing in Alexa AI and large-scale distributed systems
“Engineering manager/player-coach in the Alexa media ecosystem who led delivery of a Tier-1 gateway service enabling third-party providers (e.g., Spotify/Pandora) to control playback across users’ Echo devices, driving 10–15% lifts in engagement metrics. Deep in API design, AWS infrastructure choices (EC2 vs Fargate), OAuth/LWA auth flows, and production rigor (security reviews, load testing, feature-gated dial-ups), with demonstrated incident ownership and operational automation wins.”
Junior Software Engineer specializing in cloud data infrastructure and distributed systems
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Senior Data Engineer specializing in cloud data platforms and analytics pipelines
Senior Data Engineer specializing in cloud-native data platforms and streaming pipelines
Mid-level AI/ML Engineer specializing in LLMs, multilingual NLP, and low-latency MLOps
Senior Software Engineer specializing in cloud-native SaaS and event-driven microservices
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 AWS cloud and distributed systems
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Senior Agentic AI & Backend Engineer specializing in LLM platforms and multi-agent systems
Mid-level Software Engineer specializing in distributed systems on AWS
Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Akhil Maram
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”