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Vetted Machine Learning Professionals
Pre-screened and vetted.
Senior Data Scientist specializing in AI/Deep Learning and applied machine learning
Mid-level AI/ML Engineer specializing in LLM RAG pipelines and cloud MLOps
Executive Product & Technology Leader specializing in SaaS, FinTech, and Media & Entertainment
Mid-level AI/ML Engineer specializing in GenAI agents and production ML systems
Mid-level Data Scientist/ML Engineer specializing in LLMs, NLP, and recommender systems
Mid-level Machine Learning Engineer specializing in GenAI, forecasting, and MLOps
Director-level Software Architect specializing in cloud observability and network monitoring
Director of Enterprise Analytics specializing in AI/ML for healthcare and insurance
Mid-level Machine Learning Engineer specializing in Bayesian inference and reinforcement learning
Senior Software Engineer specializing in distributed systems, ML infrastructure, and search
Staff Platform/ML Engineer specializing in agentic AI, RAG, and cloud infrastructure
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Senior Software Engineer specializing in cloud microservices and data pipelines
Senior Full-Stack Software Engineer specializing in cloud platforms and AI integration
Intern Backend/Full-Stack Software Engineer specializing in cloud-native web systems
Senior Data Scientist specializing in predictive modeling and recommendation systems
Junior Data Scientist & Data Engineer specializing in ML and scalable data pipelines
Executive Engineering Leader specializing in E-commerce, SaaS, and EdTech platforms
Executive Engineering Leader (CTO/VP) specializing in platform scaling and video streaming
Ritika Ghosh
Junior Robotics & AI Engineer specializing in ROS2 autonomy and real-time computer vision
“Robotics software engineer from Stanley Black & Decker’s autonomous team who built and deployed a ROS2-based model predictive control system for a commercial autonomous lawn mower, integrating real-time localization, Nav2 planning, and custom control under real-time constraints. Has hands-on field debugging experience (Foxglove, TF timing, covariance/noise tuning) to resolve issues that only appeared outside simulation, plus containerized deployment and CI/CD experience.”
Danny Klein
Intern Robotics Engineer specializing in robotics testing, controls, and automation
“Robotics engineering intern and mechanical engineering master’s student who bridges hardware testing and ML/ROS2 software: built a PyTorch model to map motor test data across motor types using electrical specs (Kv/Kt/R/L) and validated it against new motors to meet strict torque/thermal accuracy targets. Also integrated CNN-based perception into ROS2 for real-time navigation and implemented MPC with time-synchronized multi-topic messaging to avoid stale-data control issues.”
Aaditya Voruganti
Junior AI & Software Engineer specializing in robotics and ML infrastructure
“Robotics engineer from UIUC’s Intelligent Motion Lab who led the perception stack for a humanoid robotic nurse, fusing camera/LiDAR/IMU on NVIDIA Jetson Orin for real-time localization and scene understanding across six robots. Deep expertise in ROS 2 and edge ML optimization (TensorRT, CUDA, zero-copy), delivering major latency/throughput gains (10 FPS to 22+ FPS) and building fault-tolerant pipelines with gRPC offloading and real-time reliability practices.”