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Atulya Bist
Junior Data Scientist / Software Engineer specializing in LLM analytics and robotics
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About
Robotics/ML engineer who implemented TD3 and PPO in PyTorch to solve the challenging OpenAI Gymnasium humanoid-v5 MuJoCo task, including custom networks, rollout logic, and training scripts. Also has hands-on robotics coursework experience with ROS-based RRT motion planning on a real robotic arm, plus practical CI/CD and containerization experience (Docker, Jenkins, GitHub Actions). Currently exploring world models (VAE + sequence generator) using Euro Truck Simulator data.
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Key Strengths
- Implemented and trained TD3 and PPO to solve Gymnasium humanoid-v5
- Builds RL training pipelines end-to-end (networks, rollouts, training scripts) in PyTorch
- Pragmatic debugging of unstable RL via hyperparameter search and algorithm selection
- Improved control smoothness by switching from torque outputs to joint-angle targets with PD/PID control
- Motion planning optimization: implemented RRT shortcutting to reduce path length and smooth trajectories
- Experience moving robotics work from simulation to real hardware (robotic arm in lab)
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2 publications
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