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Vetted Amazon DynamoDB Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in FinTech payments and risk systems
Senior Software Engineer specializing in Python, cloud infrastructure, and AI-powered search
Senior Software Engineer specializing in payments, billing, and fraud/risk platforms
Staff Software Engineer specializing in applied AI agents and full-stack product development
Mid-level Software Engineer specializing in full-stack and distributed backend systems
Senior Full-Stack Software Engineer specializing in web platforms and AI-enabled experiences
Mid-level AI/ML Engineer specializing in LLMs, multilingual NLP, and low-latency MLOps
Executive FinTech Founder and Software/Finance Leader specializing in data pipelines and valuation
Principal business value leader specializing in AI, data, and cloud transformation
Senior Software Engineer specializing in frontend architecture and AI-enhanced developer tools
Senior Software Engineer specializing in cloud security and identity management
Senior Full-Stack & AI/ML Engineer specializing in cloud-native SaaS and IoT analytics
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Cloud Engineer specializing in AWS/Azure infrastructure, DevOps, and cloud-native platforms
Principal/Staff Engineer specializing in platform architecture, AI/ML, and distributed systems
Chuk Yang Seng
Staff Software Engineer specializing in distributed systems and platform architecture
“Built a production LLM-powered data ingestion workflow at Provi, an online alcohol marketplace, to clean and match millions of distributor inventory items against a product catalog. Their experience is strongest in applying LLMs to real-world, large-scale data operations with AWS Glue, S3, batching, API integration, human review, and drift detection.”
Thomas Baker
Senior Full-Stack Engineer specializing in serverless AWS and event-driven systems
“Backend/data engineer with experience at AWS and Intuit building and operating production serverless systems and data pipelines. Delivered an internal AWS TV video-processing platform using Step Functions/Lambda/S3/DynamoDB with strong reliability and cost controls, and built Glue-based ETL for compliance/risk events (Kafka to partitioned Parquet). Also modernized legacy compliance systems into Java/Node event-driven services and has demonstrated measurable SQL tuning impact (200s to 20s).”
Jingfei Xu
Intern/Junior Software Engineer specializing in AI/ML and cloud-based systems
“Embedded/robotics software engineer with Hyundai Motors experience who owned an AI-driven perception validation pipeline using a Transformer-based approach to generate stable synthetic in-cabin audio for autonomy/ASR testing, cutting downstream testing time by 50%+. Has hands-on ROS integration (IMU sensor streaming, inference, control nodes), MQTT-based distributed messaging, and cloud/container deployment experience (Docker, Node/Express, AWS, CI/CD).”
Kevin Kyi
Intern Machine Learning Engineer specializing in RAG systems and AWS cloud infrastructure
“Internship at BlueFoxLabs building and deploying an AI/ML RAG system for a biopharma client on top of LibreChat, including an AWS Textract ingestion pipeline and PGVector retrieval deployed to AWS EKS. Demonstrated production-minded scalability work by moving from a vertically scaled EC2 setup to a horizontally scaling Kubernetes/EKS deployment, using CI/CD to safely incorporate requirement changes like tabular document data.”