Andrii Yatsenko

Experience

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  ЦеТехно

  Jan 2022 - Oct 2022

  Specialist in software development and testing

  As a software development and testing specialist, my primary responsibilities revolved around rigorously testing installed software on various devices and ensuring their proper configuration for seamless operation. This hands-on experience not only honed my technical skills but also required effective communication and collaboration with diverse teams, thereby enhancing my soft skills.

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  Upwork

  Mar 2023 - Jul 2024

  Computer Vision / Machine Learning Engineer

  As a freelance Computer Vision and Machine Learning Engineer, I specialize in developing innovative solutions for diverse projects, leveraging cutting-edge technologies to address complex challenges.Key Skills and Expertise:- Object Detection and Tracking: Proficient in YOLOv8 and YOLOv5 for tasks including object detection, keypoints localization, and segmentation.- Video Analysis: Implemented TrackNetv3 for pre-trained and fine-tuned models tailored to specific project requirements.- Hybrid Neural Networks: Designed hybrid pipelines combining keypoints extraction and time series data for classification using CNNs, enhancing model accuracy.- Data Processing and Integration: Developed pipelines integrating BoT-Sort for multi-object tracking, ensuring robust data processing capabilities.- Feature Extraction and Processing: Implemented various methods for feature discovery and refinement, enhancing model performance and efficiency.- Automated Systems Development: Designed and deployed automated systems for sports game management, optimizing event tracking and analysis.- Google API Integration: Utilized Google APIs for mapping applications, data retrieval, and analysis to support informed decision-making.Additional Responsibilities:- Dataset Management: Curated and improved datasets, performed annotation, and automated labeling processes to streamline model training.- Bug Fixing and Optimization: Troubleshot and resolved issues related to feature implementation and performance, ensuring smooth project execution.- Problem Solving: Identified and implemented solutions for diverse technical challenges, contributing to project success and client satisfaction.Technologies:YOLOv8, YOLOv5, TrackNetv3, BoT-Sort, CNNs, Google APIs, Python, TensorFlow, OpenCV, Git Show less

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  Freelance software development

  Nov 2023 - Mar 2024

  Machine Learning Engineer (CNN/RNN/NLP)

  Passionate about leveraging the power of Machine Learning to solve real-world problems, I specialize in undertaking small-scale, custom projects in the dynamic realm of artificial intelligence. With a keen interest in cutting-edge technologies, my work encompasses a wide spectrum of Machine Learning techniques, including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Clustering, Time Series Analysis, and more.Key Skills:Proficient in utilizing frameworks such as TensorFlow and Keras for developing robust machine learning models.Expertise in data manipulation and analysis using Pandas.Proven track record in optimizing neural network architectures for enhanced performance.Experienced in implementing data augmentation techniques and employing transfer learning/fine-tuning strategies to boost model accuracy.Skilled in working with tokenizers for natural language processing tasks.Project Highlights:Successfully applied optimization techniques for constructing efficient neural network architectures.Implemented data augmentation methodologies to enhance model generalization.Expertise in fine-tuning pre-trained models for specific tasks using transfer learning.Proficient in creating and cleaning datasets for seamless model training.With a results-driven approach and a commitment to staying at the forefront of industry trends, I am dedicated to delivering tailored solutions that meet the unique requirements of each project.#selfemployed Show less

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  [NDA] Company

  Mar 2024 - now

  Computer Vision & Machine Learning engineer

  🔍 Expertise in developing cutting-edge solutions using deep learning models such as YOLOv8 (various configurations: detection, keypoints, etc.), Siamese Networks, and GAN (CycleGAN). Designed automated annotation systems and extensively optimized YOLO hyperparameters. Enhanced datasets using advanced techniques like Albumantations.🛠️ Proficient in PyTorch for model development and fine-tuning pretrained architectures including ResNet, DenseNet, ShuffleNet, MobileNet, etc. Experienced in leveraging AWS for efficient dataset management.📸 Extensive knowledge of OpenCV functionalities including SIFT, Template Matching, and Optical Flow. Skilled in embedding system configuration and optimization.⚙️ Specializes in optimizing pipelines for accelerated neural network performance and implementation using TensorRT.🛠️ Technology Stack: PyTorch, TensorFlow, Keras, YOLOv8, Siamese network, GAN, OpenCV, AWS, TensorRT, ONNX, Docker, Git, Python, NVIDIA CUDA, NumPy, SciPy, Pandas, Matplotlib, Seaborn, Plotly, Jupyter Notebooks, Scikit-learn. Show less