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Vetted Helm Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in cloud, microservices, and AI/LLM systems
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
Senior Machine Learning Engineer specializing in document AI and search systems
Mid-level Software Engineer specializing in data platforms, cloud, and AI
Senior Go Software Engineer specializing in distributed backend systems
Mid-level Full-Stack Software Engineer specializing in cloud-native AI and enterprise platforms
Staff Software Engineer specializing in Python APIs and AWS-native data platforms
Mid-level Software Engineer specializing in Java microservices and cloud-native systems
Junior Software Engineer specializing in distributed systems and cloud infrastructure
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Mid-level Backend Software Engineer specializing in AI-powered microservices and cloud infrastructure
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Senior DevOps & AWS Cloud Engineer specializing in scalable, secure cloud infrastructure
Junior Full-Stack Engineer specializing in mobile apps and backend systems
Senior DevSecOps Engineer specializing in AWS GovCloud, Kubernetes, and compliance automation
Staff/Lead Full-Stack Software Engineer specializing in .NET, Angular, and cloud architecture
Phat Dang
Junior Software Engineer specializing in full-stack, DevOps, and GenAI
“Robotics software engineer with hands-on hardware integration who built an AI-enabled smart dog door using a Raspberry Pi, camera-based recognition (DeepFace adapted for dogs), and stepper motor control (TB6600/NEMA 17). Experienced in ROS/ROS 2 across perception-to-controls, rigorous bag-driven debugging of SLAM/navigation issues, and deploying robot software with simulation-in-the-loop testing plus Docker/Kubernetes CI/CD.”
Rakesh Kumar
Mid-level Software Engineer specializing in cloud-native microservices, DevOps, and SRE
“Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.”
hamza Khan
Mid-level DevOps & Platform Engineer specializing in AI/ML infrastructure
“Backend/AI engineer who built production-grade intelligence systems in high-stakes domains including tax/legal document analysis and brain tumor MRI workflows. Stands out for combining LLM/RAG product delivery with strong engineering rigor around retrieval evaluation, grounding, validation, observability, and safe fallbacks—turning impressive demos into systems users could actually trust.”