Alexey Reznichenko
Vice President, AI Software & Operations
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolAlexey Reznichenko is a seasoned engineering leader with 16 years of experience building developer platforms, AI infrastructure, and reliable CI/CD systems across automotive, cloud, and research environments. Currently VP of AI Software & Operations at Pfizer and formerly leading EngProd and EngInfra for Stellantis’ AutoDrive, he blends hands-on build-system expertise (Bazel, Kubernetes, ArgoCD) with delivery-focused DevOps and developer-experience leadership. His background includes scalable sensor-data pipelines for autonomy at Lyft and platform work at Argo AI and Microsoft, and he even contributed sensor-handling improvements to the well-known SL4A Android scripting project early in his career. Holding advanced degrees including PhD-level computer science training, he pairs rigorous research roots with practical system-building to move AI and autonomous systems from prototype to production.
15 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at RPTU Kaiserslautern-LandauMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Universität des SaarlandesMaster of Science - MS Electrical and Electronics Engineering, Master of Science - MS Electrical and Electronics Engineering at Voronezh State University
Github Skills (9)
javas10
android-sdk10
sensor10
java10
signal-processing10
data-processing10
data-analysis9
algorithms7
testing6
Programming languages (6)
Github contributions (5)
damonkohler/sl4a
Jun 2010 - Aug 2010
SL4A brings scripting languages to Android by allowing you to edit and execute scripts and interactive interpreters directly on the Android device.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:165 commits in 3 months
Contributions summary:Alexey implemented features related to sensor data collection, average calculations, and orientation readings. They modified Java code, specifically within the `SensorManagerFacade.java` and `SensorManagerFacadeTest.java` files, to enhance the handling and processing of sensor data, including accelerometer and magnetic field data. The changes involved adding averaging calculations and improving the way orientation data was derived from sensor inputs. This work directly enhanced the functionality of the SL4A project, specifically its ability to use Android sensors.
scriptingandroidlanguagesjavainterpreters
Stellantis-ADX/.github
Jun 2023 - Feb 2025
Contributions:2 pushes in 1 year 8 months
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