ML/Robotics Engineer focused on embodied AI systems, VLM/VLA-to-robot execution, and Embedded Systems.
I design and deploy technical systems across robotics, machine learning, and MLOps/full-stack platforms.
- Build end-to-end language-conditioned manipulation pipelines for real robots (7-DoF Sawyer).
- Translate VLM/VLA outputs into hierarchical, parameterized ROS2 action execution.
- Develop perception pipelines with RGB-D point clouds, open-vocabulary segmentation, 6-DoF pose estimation, and scene graph construction.
- Validate policies in simulation (Isaac Sim) with sim-to-real transfer workflows, including domain randomization and contact modeling.
- Build and operate production AI services (frontend, backend APIs, auth, data, monitoring, deployment).
- Implement hybrid inference stacks combining deterministic computation with ML/LLM-assisted extraction and reasoning.
- Maintain release pipelines with regression checks, versioning, observability, and controlled rollouts.
- Work across Python, C++, and MATLAB for modeling, verification, and evaluation.
- Experience with computational-physics-oriented AI training/evaluation workflows (FEM/FDTD/BPM contexts).
- Embodied AI for manipulation (VLM/VLA + ROS2 + closed-loop control)
- Robust task and motion planning (TAMP) in real-world settings
- Simulation-to-real evaluation and failure-recovery protocols
- Production AI engineering and reliable deployment
- Applied AI for environmental analytics and sustainability software
Languages
Python, C++14/17, JavaScript, SQL, MATLAB, Wolfram
ML/DL
PyTorch, scikit-learn, Hugging Face Transformers, NumPy, SciPy, Matplotlib, SymPy
Robotics
ROS/ROS2, Gazebo, MuJoCo, Isaac Sim, OpenCV, MoveIt2
MLOps / Infra
Docker, Git, CI/CD, model/pipeline validation, experiment logging
Full-Stack
React, Node.js/Express, REST APIs, PostgreSQL, Redis, AWS, Render
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Embodied AI Researcher — BU Dependable Computing Lab (DCL) & RASTIC
VLM/VLA inference-to-execution pipelines, real Sawyer experiments, perception + planning integration. -
Founder / Full-Stack Engineer — GreenMetric.ai
Deployed SaaS platform with hybrid AI + deterministic environmental-impact engine and production MLOps workflows.
- M.S. in Electrical & Computer Engineering (Systems Robotics) — Boston University (Starting Sept 2026)
- B.A. in Physics & Computer Science (Dual Major) — Boston University (Dec 2025)
If you are working on embodied AI, robotics systems, VLM/VLA planning, or production ML platforms, feel free to connect.



