Christian Kauten
Manager - Identity Solutions at Sensory, Inc.
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolChristian Kauten is a Senior Research Engineer and biometrics scientist with a decade of experience building neural network–based face and voice recognition systems optimized for real-world, embedded deployment. He led development of SensoryFace, an end-to-end face biometrics platform, and has driven novel voice recognition methods that measurably reduce false accepts while keeping inference runtimes compact. Equally comfortable in research and production, Christian combines academic rigor—PhD-level work on image restoration and human-AI trust studies—with hands-on engineering like SDKs, model training pipelines, and quality assurance. His open-source work (including enhancing an OpenAI Gym NES interface used for RL research) reflects a knack for low-level systems thinking and creative problem solving beyond standard ML tooling. Based in Washington, D.C., he thrives at the intersection of signal processing, representation learning, and practical productization of biometric AI.
10 years of coding experience
9 years of employment as a software developer
High School Diploma, High School Diploma at Holy Innocents' Episcopal SchoolDoctor of Philosophy - PhD Computer Science & Software Engineering, Doctor of Philosophy - PhD Computer Science & Software Engineering at Auburn University
English, Spanish
Stackoverflow
139reputation
78kreached
7answers
1question
Github Skills (11)
lua10
memory-management8
game-development7
parse-platform6
csv6
sage6
javascript6
excel6
bazel6
tensorflow6
python6
Programming languages (12)
Github contributions (5)
Kautenja/gym-super-mario-bros
Apr 2018 - Jun 2022
An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
Role in this project:
Back-end Developer & Lua Developer
Back-end Developer & Lua DeveloperContributions:36 releases, 577 commits, 42 PRs in 4 years 2 months
Contributions summary:Christian primarily worked on modifying the Lua scripts used to interface with the FCEUX emulator for the Super Mario Bros. game. These changes included the implementation of level-end detection and enhancements to the reward system, and improvements to the game loading. The commits demonstrate an understanding of the game's memory structure, event handling, and state management, focused on enhancing the experience for reinforcement learning.
openai-gymsuper-mario-brossuper-mario-bros-2-lost-levelsnes-py
Kautenja/semantic-segmentation-baselines
Apr 2020 - Apr 2020
Keras (TensorFlow) baselines of deep learning papers for semantic segmentation.
Contributions:1 commit, 25 PRs, 431 pushes in 1 day
deep-learningkerassemantic-segmentationtensorflow
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