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Vetted TensorFlow Professionals
Pre-screened and vetted.
Senior Data Scientist and AI Engineer specializing in NLP, LLMs, and MLOps
Senior Machine Learning Engineer specializing in GenAI, LLMs, and MLOps
Senior Machine Learning Engineer specializing in GenAI, LLMs, and MLOps
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native applications
Mid-level Full-Stack Software Engineer specializing in AI automation and FinTech
Mid-level Full-Stack Engineer specializing in cloud-native enterprise and FinTech systems
Senior Full-Stack AI Engineer specializing in AI products and developer platforms
Mid-level Full-Stack Developer specializing in Python, microservices, and AI platforms
Senior Software Engineer specializing in compliance, FinTech, and healthcare platforms
Entry-level Full-Stack Software Engineer specializing in web, ML, and robotics systems
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Director-level Engineering Leader specializing in cloud platforms, AI/ML, and scalable SaaS
Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms
Principal Automation Architect specializing in cloud DevOps, microservices, and MLOps
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Senior AI Python Engineer specializing in Generative AI and MLOps
Chris Harry Patrick
Mid-level AI/ML Engineer specializing in healthcare, risk modeling, and MLOps
“Robotics software engineer who built a ROS Noetic-based perception-to-control stack for a pick-and-place robotic arm, integrating OpenCV/TensorFlow vision with motion planning and PID tuning. Demonstrated strong real-time debugging skills (rosbag, queue/latency fixes) and experience deploying reproducible robotics environments with Gazebo simulation, Docker, and GitLab CI.”
Aashish Pokhrel
Mid-level DevOps Engineer and CS researcher specializing in cloud automation and ML/quantum tooling
“Research-focused software engineer who builds performance-critical Python/C++ systems emphasizing correctness, state-transition precision, and distributed coordination. Created an automated simulation-based testing/validation framework for quantum programs that caught subtle logic/type errors early, reduced debugging time, and improved developer confidence through strong observability and scalable test generation.”