Cedric Hollande

“ML/Simulation engineer who productionized a Multi-Agent Reinforcement Learning system for 30+ firms at Belt and Road Big Data Company, integrating research code into an enterprise backend via Dockerized deployment and scalable data pipelines on GCP/Vertex AI. Demonstrated strong production debugging by tracing apparent network timeouts to hardware memory exhaustion caused by software state-history garbage collection issues, and built custom reward functions to model complex market dynamics (entry/exit, pricing).”

Het Maheshkumar Sekhalia

Screened

Entry-level Robotics Researcher specializing in autonomy, motion planning, and control

Pittsburgh, PA1y exp

“Robotics software engineer focused on simulation-first autonomy and learning: implemented TD3 and CLIP-guided pretraining for physics-based humanoid skill learning in Isaac Gym/DeepMimic. Also built a ROS2 + dual-Docker closed-loop stack for an autonomous wheel loader in Isaac Sim, combining global planning, B-spline smoothing, and real-time NMPC control.”

Varna Sharma

Screened

Senior Product Marketing Manager specializing in sustainable materials and data center cooling

Midland, MI9y exp

“Global marketer currently at Dow owning end-to-end strategy across go-to-market, channel, customer engagement, promotion, and innovation, with heavy cross-regional executive alignment. Previously at Modern Meadow, made data-driven product strategy calls (e.g., resisting a high-profile Wimbledon footwear request to stay on a higher-margin handbag launch path) and is adept at streamlining stakeholder communication using targeted meetings and async documentation.”

“Robotics software lead on a safe human-robot interaction project for search-and-rescue and at-home physical therapy using a Franka Emika Panda, Azure Kinect, and 3D pose estimation. Built ROS-based vision-to-control pipelines that fuse homogeneous transforms with wrench feedback, and implemented max-manipulability/null-space strategies (QP + manipulability Jacobian) to avoid singularities and improve real-time trajectory behavior.”