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Vetted Reinforcement Learning Professionals
Pre-screened and vetted.
Jayanti Lahoti
Junior Full-Stack Software Engineer specializing in AI and cloud-native systems
“Backend/systems-oriented engineer focused on building production-constrained LLM agent workflows that automate repetitive operator tasks via intent/entity extraction, retrieval grounding, and structured action recommendations with human-in-the-loop review. Emphasizes reliability through deterministic orchestration, strict tool/function schemas, observability, and disciplined evaluation/feedback loops, with strong experience handling messy multi-service operational data and idempotent execution.”
Krishna Kodur
Mid-level Robotics & AI Researcher specializing in human-robot interaction and reinforcement learning
“Robotics software engineer who built an end-to-end mobile manipulation platform (Franka Panda on a Clearpath Ridgeback) for a simulated-kitchen human-robot interaction study with natural speech commands, implemented in Python/ROS. Has hands-on experience integrating diverse sensors (RealSense, LiDAR, biosignals) with deep learning frameworks (PyTorch, Hugging Face) and fine-tuning GPT-Neo, plus simulation (Gazebo) and modern deployment practices (Docker/Kubernetes, CI/CD).”
Hanvitha Muppidi
Entry-level Data Scientist specializing in AML, fraud, and applied machine learning
“Data/ML engineer with end-to-end ownership experience at Charles Schwab, spanning data ingestion, anomaly detection, data quality infrastructure, and dashboards used daily by compliance and business teams. Stands out for debugging complex cross-layer issues in systems processing 17M+ records per day and for turning one-off data quality checks into reusable frameworks that scaled across business units.”
Senior Data Scientist specializing in GenAI, fraud/credit risk, and cloud MLOps
Mid-level Robotics Software Engineer specializing in computer vision and motion planning
Principal AI/ML Engineer specializing in agentic AI and distributed systems
Mid-level AI/ML Engineer specializing in MLOps, NLP, computer vision, and Generative AI
Senior Data Scientist and Generative AI Engineer specializing in LLMs, RAG, and MLOps
Mid-Level Software Engineer specializing in AI-enabled web applications
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and financial risk analytics
Mid-level AI/ML Engineer specializing in fraud detection, risk modeling, and real-time ML systems
Mid-level Robotics Software Engineer specializing in perception, SLAM, and autonomous navigation
Junior Robotics Engineer specializing in autonomous systems and computer vision
Junior Robotics Engineer specializing in safe human-robot collaboration
Mid-level AI/ML Engineer specializing in GenAI, RAG, and real-time ML systems
Intern Machine Learning & Data Science Engineer specializing in LLMs and RAG systems
Intern Software Engineer specializing in full-stack development, test automation, and applied AI
Entry-level Software Engineer specializing in full-stack, AI, and data systems
Senior Machine Learning Engineer specializing in computer vision and predictive modeling
Senior Robotics Researcher specializing in multi-agent control and safe reinforcement learning
Intern/Junior Machine Learning Engineer specializing in LLMs, RAG, and vision-language systems
Mid-level GenAI Engineer specializing in LLM platforms and enterprise RAG
Junior Robotics & Computer Vision Researcher specializing in perception and reinforcement learning