Pre-screened and vetted.
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 Software Engineer specializing in distributed systems and high-scale backend platforms
Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps
Senior Site Reliability & DevOps Engineer specializing in multi-cloud Kubernetes platforms
“IBM Power/AIX infrastructure engineer who has owned large-scale Power9/AIX 7.x estates across primary/DR (VIOS/HMC/vHMC) and has deep hands-on experience with DLPAR, shared processor pool governance, and PowerHA recovery. Also brings modern DevOps/IaC capability—built Azure DevOps/GitHub CI/CD for Terraform + Kubernetes/Helm with strong security controls and resolved a production Terraform state-lock failure by redesigning backend locking and pipeline concurrency.”
Senior Full-Stack Software Engineer specializing in React/Next.js and AI-powered SaaS
Mid-level Software Engineer specializing in Microsoft 365 Copilot and Outlook Mobile
Senior Software Engineer specializing in enterprise AI/LLM integration and full-stack systems
Senior Full-Stack Engineer specializing in AI-first web modernization and cloud platforms
Senior Full-Stack Engineer specializing in cloud-native AI SaaS platforms
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React
“NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.”
Staff Software Engineer specializing in Healthcare IT and mobile platforms
Executive AI/IoT Engineering Leader specializing in full-stack and edge AI systems
Senior Full-Stack Software Engineer specializing in cloud-native web and mobile apps
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Full-Stack .NET Engineer specializing in cloud-native web applications
Senior Data Engineer specializing in cloud-native data platforms and streaming pipelines
Executive FinTech Founder and Software/Finance Leader specializing in data pipelines and valuation
Senior Full-Stack & AI/ML Engineer specializing in cloud-native SaaS and IoT analytics
Senior Full-Stack Engineer specializing in web platforms and mobile apps
“Backend/platform engineer with experience at Microsoft, Uber, and Gusto building production AI-agent automation systems in Python (AutoGen) and cloud-native microservices on Kubernetes across AWS/Azure. Has delivered zero-downtime migrations and high-throughput real-time streaming pipelines (Kafka/WebSockets/Redis), and is strong in GitOps/ArgoCD-driven CI/CD with reliable rollouts and rapid rollback.”
Mid-level DevOps Engineer specializing in cloud-native infrastructure on AWS and Azure
“DevOps/SRE focused on cloud-based distributed systems, with strong hands-on Kubernetes production experience (microservices deployments, Helm, probes, resource tuning, CI/CD and Docker build standardization). Demonstrated end-to-end troubleshooting across application, infrastructure, and networking layers—e.g., isolating degraded storage via node disk I/O metrics and restoring performance by draining the node and replacing the volume. Builds Python automation for operational reliability, including scheduled Kubernetes secrets rotation integrated with an external secret manager.”