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David Siff

@davidsiff1

Robotics research engineer at Georgia Tech building ROS2 simulation and validation pipelines for sim-to-real robotic manipulation.

United States
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What I'm looking for

I’m looking to build analytical performance models, functional simulators, and virtual platforms that support architecture exploration and realistic software workloads for AI inference accelerators.

At Georgia Tech’s Hands-On Safety Robotics VIP Lab, I’m designing a ROS2-based, low-latency simulation environment to train and validate an imitation-learning policy for a robotic manipulator arm. The work evaluates MuJoCo, PyBullet, and NVIDIA Isaac Sim/Lab.

I’m building a three-stage validation pipeline spanning teleoperated data collection, in-simulation policy evaluation, and real-robot deployment. I’m also designing stress tests for object ambiguity, module failures, and long-horizon error compounding.

My projects include a ConvNeXT and Swin Transformer ensemble for skin cancer classification, which achieved an AUC of 0.936 with 94K parameters, and a combinatorial optimizer that reduced an exponential problem to near-linear runtime. I’m pursuing an M.S. in Computer Science at Georgia Tech, focused on computational perception and robotics.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Georgia Institute of Technology logoGT

Georgia Institute of Technology

Master of Science, Computer Science

Grade: 3.8

Pursuing a Master of Science in Computer Science with a specialization in Computational Perception and Robotics, expected to graduate in August 2027.

Dartmouth College logoDC

Dartmouth College

Bachelor of Arts, Cognitive Science

Grade: 3.7

Earned a Bachelor of Arts in Cognitive Science in 1995.

JA

Jewish Theological Seminary of America

Doctor of Philosophy, Philosophy

Completed doctoral studies in Philosophy.

Tech stack

Software and tools used professionally

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