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Anton
Аналітик
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Anton Ovchynnikov # [
ð anton-ovchynnikov-8a8b60261
Professional Summary
Backend Engineer with strong Python expertise and experience building data pipelines, APIs, and real-time
processing systems. Passionate about scalable systems, applied engineering, and dual-use technologies. Experienced
in working under tight deadlines and delivering functional prototypes in multidisciplinary teams.
Professional Experience
June 2023 – Data/Hardware Engineer, Smart Plant Irrigation Systems
June 2024 ○ Designed and prototyped an automated irrigation system integrating environmental sensors and micro-
controllers.
○ Implemented control logic for autonomous watering decisions based on sensor data.
○ Collected and preprocessed datasets for basic ML-based plant health classification.
Technologies: Python, scikit-learn, TensorFlow, Arduino
August 2025 – Backend Developer, Hush-Hush
Present ○ Designed and developed a web application from scratch for managing and processing large-scale datasets.
○ Built backend services in Python focused on reliability, modularity, and maintainability.
○ Designed cloud infrastructure on AWS for scalable deployment and data processing.
○ Implemented Redis-based task queues to enable asynchronous processing and improve system respon-
siveness under load.
○ Configured Nginx as a reverse proxy to enhance security, routing control, and service isolation.
○ Worked with large datasets for LLM-related workflows, including data cleaning, preprocessing, and
pipeline automation.
Technologies: Python, FastAPI, AWS, Redis, PostgreSQL, Docker, Nginx, Linux
Selected Projects
2026 EDTH Munich - RF-based interception module
○ Developed a RF-based interception module for detecting enemy UAV radio emissions.
○ Designed and simulated a RF-guided trajectory correction algorithm for last-mile autonomous targeting.
2025 Diia AI Contest - Automated Parking Enforcement System
○ Developed a computer vision-based system for automated parking violation detection.
○ Integrated object detection, license plate recognition, and geolocation verification.
○ Designed the system to remain operational under degraded connectivity and constrained signal environ-
ments.
Education
2029 B.Sc. in Machine Learning, Universität Wien , Vienna
2026 B.Sc. in Computer Science, VN Karazin Kharkiv National University, Kharkiv
Areas of Expertise
Backend Python, Java, FastAPI, REST APIs, Asyncio
Data SQL, Data Pipelines, Data Cleaning
Infrastructure Git, Docker, Linux, Redis, Nginx
Engineering FPV drone assembly and piloting, RF basics, field system integration
Languages
English B2 - Upper Intermediate
German B1 - Intermediate
Ukrainian C2 - Proficient
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