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Registration: 03.04.2025

Kirill Sheshulin

Specialization: Machine Learning Engineer
Machine Learning Engineer with 4 years of experience. Delivered 20% cost reduction through automated defect detection, 30% fewer assembly errors via real-time monitoring, and 60% reduction in false positives for the theft detection algorithm. Specializes in scalable AI solutions in computer vision and real-time systems. Publications: — Computer Vision System for Monitoring User Attention - March, 2024. — Deep Learning Models Selection and Adaptation for X-Ray Image Processing - November, 2021. Patents: — Module for Recognizing Structural Elements of an Assembly Product - January, 2024. — Software for Predicting Crop Yields - June, 2023.
Machine Learning Engineer with 4 years of experience. Delivered 20% cost reduction through automated defect detection, 30% fewer assembly errors via real-time monitoring, and 60% reduction in false positives for the theft detection algorithm. Specializes in scalable AI solutions in computer vision and real-time systems. Publications: — Computer Vision System for Monitoring User Attention - March, 2024. — Deep Learning Models Selection and Adaptation for X-Ray Image Processing - November, 2021. Patents: — Module for Recognizing Structural Elements of an Assembly Product - January, 2024. — Software for Predicting Crop Yields - June, 2023.

Skills

Python
Machine Learning
Computer Vision
SQL
PyTorch
TensorFlow
Scikit-learn
Pandas
NumPy
Matplotlib
Docker
FastAPI
TensorRT
ONNX
ClearML
Confluent Kafka

Work experience

Machine Learning Engineer
since 07.2021 - Till the present day |Open-Code
Machine Learning, Computer Vision
● Reduced production costs by 20% by developing object detection models that automated defect detection in manufacturing ● Improved inventory accuracy by 12% by creating an automated production counting system using real-time tracking ● Reduced assembly errors by 30% by developing a system to monitor manual assembly operations in real-time ● Reduced false positive cases by 60% by improving theft detection algorithm ● Accelerated part inspection by 15% by automating quality control for post-machining parts, enabling early flaw detection and reducing production costs by 20% ● Enhanced workplace safety by implementing fire/smoke detection and an action recognition pipeline reducing incident response time by 33% and increasing compliance with protective equipment regulations by 25% ● Improved exhibition insights by creating heatmaps with people detection to analyze visitor traffic and identify popular areas for better layout optimization leading to a 17% increase in visitor engagement
Machine Learning Engineer
01.2021 - 07.2021 |Startup company
Machine Learning
● Developed an audio-based activity scoring algorithm with 89% accuracy, automating performance tracking
Machine Learning Engineer
09.2020 - 12.2020 |ITMO University
Machine Learning
● Built a medical imaging system for jaw X-ray analysis, improving implant creation accuracy by 15%

Educational background

Machine Learning Engineering (Masters Degree)
2022 - 2024
ITMO University
Computer Science (Bachelor’s Degree)
2018 - 2022
Samara State Technical University

Languages

JapaneseElementaryEnglishUpper IntermediateRussianNative