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Vetted Containerization Professionals
Pre-screened and vetted.
Intern/Junior Robotics & Computer Vision Engineer specializing in industrial automation
Intern Software Engineer specializing in distributed systems and cloud infrastructure
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
Senior Backend Software Engineer specializing in AWS-native Python systems
Staff-level Full-Stack/Platform Engineer specializing in cloud, serverless, and AI search
Staff Machine Learning Engineer specializing in LLMs, recommendations, and MLOps
Mid-level Full-Stack Software Engineer specializing in AWS microservices and GenAI
Senior Full-Stack Software Engineer specializing in AWS cloud-native microservices and healthcare platforms
Senior Backend Engineer specializing in Python, cloud migrations, and real-time data processing
Senior Full-Stack Engineer specializing in Python and AWS serverless systems
Mid-level AI/ML Engineer specializing in LLM RAG pipelines and cloud MLOps
Senior Software Engineer specializing in AWS serverless backend and data engineering
Senior Full-Stack Software Engineer specializing in cloud platforms and AI integration
Executive Engineering Leader (CTO/VP) specializing in platform scaling and video streaming
Arnav Singh
Junior Software Engineer specializing in full-stack web, cloud data, and applied ML
“Backend engineer who evolved the X-Ray gaming analytics platform, leading a zero-downtime MongoDB→AWS DocumentDB migration with dual-write, checksum-based validation, and Kubernetes canary rollouts while maintaining real-time monitoring for millions of concurrent sessions. Strong in FastAPI/Python API scaling and performance tuning (cut latency from ~2s to <150ms and reduced DB load 90%) plus production-grade auth/RLS security patterns (JWT, Supabase Auth, PostgreSQL RLS).”
Kerui Lu
Intern Software Engineer specializing in cloud, full-stack, and distributed systems
“Interned at SLB and owned an end-to-end GenAI chatbot deployment for a finance team, including invoice PDF data extraction and an LLM-driven layer (LangGraph/LangChain) that translated natural language to SQL and returned results in natural language. Validated LLM JSON outputs against benchmarks using DeepDiff and deployed the solution via Docker to Kubernetes, managing pods with k9s.”
Matthew Clarke
Intern Firmware Validation & Systems Test Engineer specializing in embedded and full-stack tooling
“Safety-critical firmware validation engineer with Tesla autonomous vehicle experience who built Python-based HIL/SIL automation and dashboards, cutting regression time by 30% while maintaining an auditable risk-tradeoff process with safety and engineering teams. Also deployed an inventory management system across 8+ R&D teams in 3 countries at FUJIFILM, troubleshooting a major cross-site sync issue to a timezone root cause with strong documentation and interim mitigations.”