Andrii Nikishaiev
Founder at Ukraine Animal Help
Kyiv Metropolitan Area Ukraine
Summary
🤩
Rockstar🎓
Top SchoolAndrii Nikishaiev is a hands-on software architect and engineering leader with 15+ years of experience building high-throughput distributed systems, consumer IoT products, ML-driven features, and startups from idea to scale. He combines deep technical breadth—from Go, Rust and embedded IoT work to PyTorch computer vision—with proven delivery: cutting CI times, slashing DB load, and shipping a real-time object detection model for a video doorbell. As a founder and operator he’s raised significant funds for an animal shelter and launched multiple products and training initiatives, showing a rare mix of technical, product and people skills. He thrives in low-bureaucracy, ownership-driven cultures and prefers roles where engineering influences company strategy and process. Active in open source (notably MiBand2 and object-detection projects), he brings pragmatic automation, strong onboarding practices, and a focus on measurable business outcomes. Based in Ukraine, he pairs systems-level architecture thinking with hands-on implementation across cloud, edge, and ML domains.
15 years of coding experience
14 years of employment as a software developer
Bachelor, Physics, Mathematics, Bachelor, Physics, Mathematics at Taras Shevchenko National University of Kyiv
English, Polish, Ukrainian, Russian
Stackoverflow
3,812reputation
2.5mreached
79answers
34questions
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top-5%
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top-5%
Github Skills (31)
opencv10
python10
pandas10
bluetooth-le10
iot10
btle10
sys10
traffic-analysis10
object-detection10
computer-vision10
embedded10
bluetooth-low-energy10
webscraping9
machine-learning9
data-analysis9
Programming languages (16)
Github contributions (5)
creotiv/MiBand2
Mar 2018 - Feb 2022
Library to work with Xiaomi MiBand 2
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:37 commits, 8 PRs, 33 pushes in 3 years 11 months
Contributions summary:Andrii primarily contributed to the development and modification of code related to interacting with the Xiaomi MiBand 2. Their work involved implementing functionalities for reading and processing heart rate data, integrating sensor data, and developing scripts for data logging and plotting. The user also added raw sensor data grabbing, showcasing an interest in low-level data acquisition from the device. These commits demonstrate the user's efforts in reverse engineering and extending the capabilities of the library.
mibandsmartphoneusrplockscreenxiaomi
creotiv/object_detection_projects
Sep 2017 - Jul 2022
My public projects about object detection algorithms
Role in this project:ML Engineer
ML EngineerContributions:56 commits, 2 PRs, 51 pushes in 4 years 11 months
Contributions summary:Andrii primarily contributed to the project by implementing and refining computer vision models for traffic analysis, specifically focusing on object detection and capacity estimation. Their work involved modifying the pipeline for processing video input, incorporating techniques like CLAHE for noise reduction, and optimizing the capacity calculation. The user also integrated a face detection demo using OpenCV and PyQt, showcasing a broader application of their computer vision expertise. Additionally, the user developed a plot.py script, demonstrating experience in data visualization using Python and Pandas.
object-detection
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