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Vetted Object Detection Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in LLMs and production NLP
Junior operations and research professional with healthcare and machine learning experience
Mid-level AI/ML Developer specializing in healthcare and e-commerce ML systems
Senior AI/ML Engineer specializing in Generative AI, Agentic AI, and RAG systems
Senior AI/ML Engineer specializing in LLMs, RAG, and high-performance systems
Senior Robotics Software Engineer specializing in perception, sensor fusion, and SLAM
Mid-level Software Engineer specializing in AI, reinforcement learning, and robotics
Mid-level AI/ML Engineer specializing in MLOps, LLMs, and real-time AI systems
Junior Software Engineer specializing in distributed systems and AI
Mid-level Robotics Software Engineer specializing in ROS2 autonomy and SLAM
Senior AI/ML Engineer specializing in LLMs, NLP, and production MLOps
Senior Machine Learning Engineer specializing in MLOps and Generative AI
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.”
Raswanth Velmurugan
Intern Robotics & Autonomous Systems Engineer specializing in multi-robot control and perception
“Graduate robotics engineer from Boston University who led development of a perception-to-decision pipeline for a multi-robot, perception-driven navigation and coordination system. Strong in ROS/ROS2 C++ on Linux, with hands-on experience hardening real-time behavior on hardware (timing sync, QoS/queue/executor tuning) and validating via Gazebo/Webots plus real-robot testing; also uses Docker and basic CI for regression checks.”
Martin Wells
Executive AI & Technology leader specializing in AI, streaming, and gaming platforms
“Worked at an accelerator and served as an Entrepreneur in Residence, providing CTO and general founder support to startups. Although not pursuing entrepreneurship personally, they bring direct exposure to early-stage company building and accelerator ecosystems.”
Nishchal Gante
Mid-level Data Scientist specializing in MLOps and Generative AI
“Robotics software/ML engineer who built perception and navigation-related ML systems for autonomous supermarket carts, including object detection, shelf recognition, and obstacle avoidance. Strong ROS/ROS2 practitioner who optimized real-time performance (reported 50% latency reduction) and deployed containerized ROS/ML pipelines at scale using Docker, Kubernetes, and CI/CD.”
Srinidhi Pattala
Mid-level Robotics Engineer specializing in autonomy, perception, and sensor fusion
“Robotics software engineer who contributed to an autonomous bartender robot (mobile base + ReactorX200 arm), owning manipulation/grasping, Gazebo simulation, and a YOLOv6 object-detection pipeline built from a manually collected/labeled dataset. Also handled system-level hardware bring-up integrating Raspberry Pi to ESP32 over micro-ROS on ROS2 Foxy, and has additional ROS package experience in EKF sensor fusion (IMU+GPS) and an autonomous disaster response boat.”