Jack Geissinger is a software engineer in Pittsburgh with 11 years of experience building autonomy and robotics software, currently developing production code for autonomous robots at Carnegie Robotics. He blends research-grade expertise in deep learning for human motion prediction and biomechanics with practical systems work in navigation, perception, and real-world data collection. At Virginia Tech he led creation of a large open dataset of human motion, co-invented an award-winning exoskeleton and built haptic and assistive devices, demonstrating a knack for moving lab innovations toward deployed applications. Jack contributes to open benchmarking efforts for language models (e.g., implementing tasks in the well-known BIG-bench repo), reflecting a curiosity that spans autonomy, ML, and human-centered systems.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Engineering Physics, 3.94, Bachelor of Science - BS, Engineering Physics, 3.94 at Virginia Tech
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
Role in this project:
ML Engineer
Contributions:34 commits, 1 PR, 8 comments in 1 month
Contributions summary:Jack contributed to the `big-bench` repository by implementing a unit conversion task using Python. They focused on creating a task generator that produces examples in a JSON format. Key changes include adding functionalities to round numbers and formatting the examples into JSON for the model. The user also moved variables to the main section and integrated a configuration file, ultimately building a task designed for evaluating language models.
Contributions:2 reviews, 1 PR, 2 pushes in 2 years 5 months
roboticsros2dvsros-packagesros
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Jack Geissinger - Software Engineer at Carnegie Robotics