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Vetted Reinforcement Learning Professionals
Pre-screened and vetted.
Ravi Bijinepalli
Senior ADAS/Autonomous Vehicle Validation Engineering Manager
“Controls and automated-vehicle engineer from the EcoCar EV Challenge who led an 8-person team implementing ACC and lane-centering directly on a vehicle (1st place result). Strong in CAN-based debugging, simulation-to-real deployment (Simulink to C++/dSPACE), and distributed robotics communication using DDS, with additional exposure to multi-agent RL and control barrier functions for coordinated driving.”
Kartik Dixit
Executive operations and transformation leader specializing in digital, AI, and analytics
“Former Harris County leader turned consulting partner with strong public-sector transformation experience, including a $2.5M Azure-based analytics modernization for Harris County Public Health and governance-heavy infrastructure work on the Harris County Flood Warning System. Also managed multiple concurrent quantum computing optimization and machine learning engagements, showing an unusual blend of government modernization, executive stakeholder management, and frontier-tech delivery.”
Sowmya Medabalimi
Junior AI/ML Engineer specializing in generative AI and FinTech
“Product-minded engineer/designer with hands-on experience shipping AI-powered web experiences, including a financial assistant at Intuit, a document verification platform at Mphasis, and a healthcare companion chatbot. Stands out for combining UX design, frontend implementation, and retrieval/LLM backend work to turn ambiguous AI concepts into simple, production-oriented user experiences.”
Abhinav Sachdeva
Mid-level Full-Stack Engineer specializing in FinTech and AI
“Backend-leaning full-stack engineer with production experience building TypeScript/React features and owning microservices in regulated financial and insurance environments. Stands out for hands-on work in fraud/AML systems, PostgreSQL performance tuning, and reliability improvements using Redis caching, replicas, circuit breakers, and load-focused architecture decisions.”
VishnuSree Chitraju
Junior Full-Stack Developer specializing in web applications and backend systems
“Backend and full-stack engineer with experience spanning an academic collaboration platform and Comcast voice services. Stands out for measurable performance wins across the stack—30% faster page loads, 40% better throughput, and 25% lower server load—while working on reliability-sensitive production systems handling live voice traffic.”
Junior Full-Stack & ML Engineer specializing in LLM data extraction and robotics
Junior Data Scientist specializing in machine learning and reinforcement learning
Junior ML Systems Engineer specializing in distributed ML and simulation
Intern Software Engineer specializing in AI agents and computer vision
Mid-level Robotics Engineer specializing in teleoperation and autonomous manipulation
Intern Research Engineer specializing in robotics, 3D perception, and reinforcement learning
Junior Robotics Engineer specializing in autonomous systems and reinforcement learning
Intern ML Engineer specializing in LLMs, computer vision, and autonomous systems
Intern Software Engineer specializing in autonomous driving middleware and real-time robotics systems
Intern Software Engineer specializing in backend platforms, data workflows, and cloud infrastructure
Mid-level Robotics Engineer specializing in ROS2, motion planning, and AI-driven manipulation
Senior Software Engineer specializing in AI/ML and LLM-powered cloud platforms
Junior Machine Learning Engineer specializing in robotics and remote sensing
Junior Data Engineer / Software Engineer specializing in analytics and machine learning
Junior Robotics & ML Engineer specializing in autonomous systems and computer vision
Mid-level Machine Learning Engineer specializing in robotics and autonomous driving
Mid-level AI/ML Engineer specializing in healthcare NLP, LLMs, and computer vision