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Vetted Amazon S3 Professionals
Pre-screened and vetted.
Angel Contreras
Senior Data Scientist specializing in machine learning, NLP, and MLOps
“ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.”
Soma Meghana Prathipati
Mid-level Machine Learning Engineer specializing in NLP, federated learning, and fraud detection
“ML/robotics engineer with Apple experience who built a computer-vision-driven industrial defect detection system integrating a robotic arm with ROS-based real-time inference on an edge GPU. Drove major performance gains (cut inference time ~60% via quantization + TensorRT) and improved robustness to lighting/material variation, with strong emphasis on production reliability (health checks, watchdogs, observability, CI/CD) and interest in shaping early-stage startup engineering culture.”
Peifeng Hu
Junior Software Development Engineer specializing in AWS distributed systems and data orchestration
“Backend/platform engineer with deep AWS experience who built a high-reliability ingestion platform (Lambda + Step Functions + DynamoDB) that became the single source of truth for training/qualification certification data across an AU region, handling high-volume async updates with strong consistency controls. Also led a major API migration from Lambda to ECS/Fargate to eliminate cold starts and increase throughput, and has hands-on EKS/Kubernetes operations plus Kafka partitioning/ordering expertise.”
Gregory Walton
Senior Software Engineer specializing in SRE, cloud automation, and reliability tooling
“Technically oriented builder focused on taking ambiguous LLM/agentic workflow needs from scoped problem definition to iterative prototypes, with emphasis on edge cases and customer feedback. Has hands-on experience debugging RAG/agent systems, including resolving a real integration issue involving search query quoting differences between manual search and an API, and is comfortable fielding deep developer Q&A in demos.”
Senior DevOps Engineer specializing in Azure/AWS cloud infrastructure and CI/CD
Mid-level Software Engineer specializing in robotics, AI, and full-stack systems
Senior Software Engineer specializing in distributed systems, AI/ML platforms, and cloud-native SaaS
Senior Full-Stack Software Engineer specializing in SaaS, cloud-native systems, and AI/ML
Director of Engineering specializing in capital markets risk, trading systems, and AI/ML platforms
Mid-level Software Development Engineer specializing in AWS cloud and full-stack systems
Intern Software Engineer specializing in distributed systems and cloud infrastructure
Senior Software Engineer specializing in AI platforms for healthcare and industrial time-series ML
Mid-level Machine Learning Engineer specializing in real-time fraud detection and edge AI
Executive Technology Leader (CTO/Principal Engineer) specializing in cloud-native platforms and AI
Senior Software Engineer specializing in cloud-native microservices and AI-enabled products
Senior Software Engineer specializing in cloud payments, cryptography, and low-latency systems
Mid-Level Software Engineer specializing in FinTech payments and risk platforms
Mid-level Backend/Distributed Systems Engineer specializing in cloud observability and data ingestion
Senior Full-Stack Engineer specializing in Python, cloud platforms, and scalable web systems
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI/LLM integration
Mid-level Backend/Data Engineer specializing in AWS data pipelines and scalable services