.png){kind=logo}
Vetted Amazon EC2 Professionals
Pre-screened and vetted.
Executive Technology & Product Leader specializing in AI/ML, Cloud Platforms, and SaaS
Senior Python Developer specializing in AI/ML and cloud-native microservices
Senior Software Engineer specializing in cloud-native distributed systems
Senior Software Engineer specializing in Python, APIs, and cloud-native integrations
Staff Data Scientist / AI-ML Engineer specializing in fraud detection, NLP, and recommendations
Principal/Senior Full-Stack Software Engineer specializing in scalable cloud platforms
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms
Staff Full-Stack & Platform Engineer specializing in cloud-native distributed systems
Senior Software Engineer specializing in AI agents and cloud platforms
Director-level QA leader specializing in test automation and Agile quality strategy
Senior Software Engineer specializing in FinTech payments and scalable platforms
Director-level Product-Led CTO specializing in AI/MarTech, retail media, and omnichannel platforms
Senior DevSecOps & Cloud Security Engineer specializing in Kubernetes and CI/CD security
Senior Machine Learning Engineer specializing in LLM inference and GPU infrastructure
Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI
Staff Software Engineer specializing in FinTech and scalable distributed systems
Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference
Senior Machine Learning Engineer specializing in GenAI, NLP, and recommendation systems
Director-level Software Development Manager specializing in large-scale cloud platforms
Yue Su
Junior Software Engineer specializing in distributed systems and AI agents
“Python backend engineer focused on high-throughput document/PDF processing systems, building end-to-end pipelines that extract structured content for downstream NLP use cases. Demonstrates strong practical MLOps-adjacent infrastructure skills: Kubernetes deployments, GitLab CI, GitOps workflows, and an incremental migration to AWS using EC2/Lambda tradeoffs. Deep hands-on optimization experience (selective OCR, layout-aware extraction, parallelism, caching, idempotency, and backpressure/autoscaling).”