.png){kind=logo}
Vetted Reinforcement Learning Professionals
Pre-screened and vetted.
Intern Cybersecurity Analyst specializing in full-stack development and security
Mid-level Robotics Software Engineer specializing in autonomy, motion planning, and embedded AI
Junior Robotics Software Engineer specializing in autonomous navigation and testing
Mid-level Robotics Engineer specializing in vision-language-action models and sim-to-real deployment
Mid-level Software Engineer specializing in AI/GenAI and cloud-native backend systems
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
Mid-level Supply Chain Analyst specializing in data-driven logistics and procurement optimization
Junior Robotics and AI Engineer specializing in autonomous navigation and deep reinforcement learning
Senior Data Scientist and ML Engineer specializing in NLP, LLMs, and AI systems
Intern Robotics Software Engineer specializing in SLAM, sensor fusion, and autonomous navigation
Junior Full-Stack Software Engineer specializing in web, mobile, and AI-enabled collaboration tools
Junior Data Scientist specializing in cybersecurity and AI/ML
Mid-level AI/ML Engineer specializing in MLOps, streaming data, and NLP/CV
Intern Robotics Engineer specializing in ML, SLAM, and robot manipulation
Mid-level Data Analyst specializing in marketing analytics and machine learning
Mid-level AI/ML Engineer specializing in GenAI, RAG, and multi-agent LLM systems
Mid-level Full-Stack AI Engineer specializing in agentic RAG and LLM fine-tuning
Adithya Sharma
Mid-level AI/ML Engineer specializing in MLOps, NLP, and Generative AI
“Built and deployed a production LLM-powered text-to-SQL/document intelligence chatbot on AWS that lets non-technical business users query complex enterprise databases in plain English. Demonstrates deep practical expertise in schema-aware prompting, embeddings-based schema retrieval, SQL safety/validation guardrails, and rigorous offline/online evaluation with human-in-the-loop approvals for risky queries.”
Abhish Khanal
Senior Robotics Researcher specializing in Embodied AI and learning-augmented planning
“Robotics software engineer with experience spanning safety-critical embedded medical hardware (low-cost neonatal baby warmer with PID temperature regulation) and advanced multi-robot planning research (belief-space planning with abstraction + MCTS to handle uncertainty). Strong ROS/ROS2 practitioner (Nav2/SLAM Toolbox/MoveIt) who builds custom packages (e.g., Insta360 panoramic imaging) and is hands-on debugging real robots from SLAM/frontier exploration to multi-robot collision avoidance and real-time performance.”