Work Experience
Computer Vision Engineer, Visual Object Tracking Algorithm
Duration: Feb 2020 - Present
Summary: Researched and developed a visual object tracking algorithm that operates in real-time on iOS and Android devices while maintaining near state-of-the-art results on popular benchmarks.
Responsibilities: Researched and developed a visual object tracking algorithm; Organized dataset gathering pipelines and managed neural network training lifecycle; Researched and developed a real-time human segmentation algorithm on mobile devices; Optimized ML/CV models efficiency and API request handling using Inference Triton Server; Researched, developed, and integrated a face reenactment algorithm; Integrated embeddings storage on production using Milvus for efficient text-video visual search; Prototyped lightweight visual demos with ML/CV models for stakeholders using Retool; Developed multi-step approaches for image generation using Stable Diffusion XL model fine-tuned on user data.
Technologies: Python, NumPy, OpenCV, Torch, PyTorchcv, PyTorch-lightning, Torchmetrics, Pandas, scikit-learn, kornia, NLP, matplotlib, Pillow, scipy, album entations, diffusers, transformers, accelerate, Faiss, annoy, xgboost, PostgreSQL, torchvision, AWS (EC2, EMR, S3, Glue, DynamoDB), Docker, Matillion ETL, Databricks, Google Cloud (Storage, Firestore, PubSub), Linux, Git, Triton Inference Server, hydra, statsmodels, Terraform
Computer Vision Engineer, Real-time Human Segmentation Algorithm
Duration: Feb 2020 - Present
Summary: Researched and developed a real-time human segmentation algorithm on mobile devices.
Responsibilities: Researched and developed a real-time human segmentation algorithm on mobile devices.
Technologies: Python, NumPy, OpenCV, Torch, PyTorchcv, PyTorch-lightning, Torchmetrics, Pillow, mlflow, W&B, torchvision, album entations, kornia, NLP
Computer Vision Engineer, ML/CV Models Optimization
Duration: Feb 2020 - Present
Summary: Optimized ML/CV models efficiency and API request handling using Inference Triton Server.
Responsibilities: Optimized ML/CV models efficiency and API request handling using Inference Triton Server.
Technologies: Python, diffusers, transformers, xformers, accelerate, scipy, scikit-learn
Computer Vision Engineer, Face Reenactment Algorithm
Duration: Feb 2020 - Present
Summary: Researched, developed, and integrated a face reenactment algorithm.
Responsibilities: Researched, developed, and integrated a face reenactment algorithm.
Technologies: Python, diffusers, transformers, xformers, accelerate, scipy, scikit-learn
Computer Vision Engineer, Embeddings Storage Integration
Duration: Feb 2020 - Present
Summary: Integrated embeddings storage on production using Milvus for efficient text-video visual search.
Responsibilities: Integrated embeddings storage on production using Milvus for efficient text-video visual search.
Technologies: Python, diffusers, transformers, xformers, accelerate, scipy, scikit-learn
Computer Vision Engineer, Visual Demos using Retool
Duration: Feb 2020 - Present
Summary: Prototyped lightweight visual demos with ML/CV models for stakeholders using Retool.
Responsibilities: Prototyped lightweight visual demos with ML/CV models for stakeholders using Retool.
Technologies: Python, diffusers, transformers, xformers, accelerate, scipy, scikit-learn
Computer Vision Engineer, Image Generation using Stable Diffusion XL Model
Duration: Feb 2020 - Present
Summary: Developed multi-step approaches for image generation using Stable Diffusion XL model fine-tuned on user data.
Responsibilities: Developed multi-step approaches for image generation using Stable Diffusion XL model fine-tuned on user data.
Technologies: Python, diffusers, transformers, xformers, accelerate, scipy, scikit-learn
Computer Vision Engineer, Real-time Object Detection and Clothes Search
Duration: Apr 2019 - Feb 2020
Summary: Developed real-time algorithms for simultaneous multiple object detection, identification, and tracking on a customer video.
Responsibilities: Developed real-time algorithms for simultaneous multiple object detection, identification, and tracking on a customer video; Built an efficient algorithm for clothes search and matching across a large database of the given user-taken photo; Implemented pipeline for clothes detection, tagging (color, texture, fabric), and segmentation.
Technologies: Python, Faiss, annoy, NumPy, matplotlib, OpenCV, Pandas, torch, PyTorch-lightning, album entations, AWS (S3, EC2), Docker
Computer Vision Engineer, Customer Conversion Rate Prediction
Duration: Oct 2018 - Apr 2019
Summary:
- Worked with large text datasets and AutoML approaches which estimate crucial business metrics
- Built automation pipelines for report generation using AWS tools (EC2, EMR, S3, Glue, DynamoDB), Matillion ETL, and Databricks
- Worked with time series data to estimate future sales for businesses
Responsibilities: Worked with large text datasets and AutoML approaches which estimate crucial business metrics; Built automation pipelines for report generation using AWS tools (EC2, EMR, S3, Glue, DynamoDB), Matillion ETL, and Databricks; Worked with time series data to estimate future sales for businesses.
Technologies: Python, matplotlib, xgboost, NumPy, PyTorch-lightning, Databricks, AWS (S3, Glue, DynamoDB, EC2, ECR), Matillion ETL, statsmodels
Research Intern, Indoor Navigation using RL
Duration: Jun 2018 - Oct 2018
Summary: Implemented reinforcement learning algorithms for indoor navigation algorithms in different environments (Minos, Gibson).
Responsibilities: Implemented reinforcement learning algorithms for indoor navigation algorithms in different environments (Minos, Gibson).
Technologies: Python
Education
- Ukrainian Catholic University
M asterâs D egree in D ata Science
Sep 2020 - Jun 2022 - Ukrainian Catholic University
Bachelorâs D egree in Com puter Science
Sep 2016 - Jun 2020
Certification
- ECCV 2022: FEAR: Fast, EfïŹcient, Accurate, and Robust Visual Tracker
- One-shot Facial Expression Reenactment using 3D Morphable Models
- NoGAN: Deblurring Images without Adversarial Training
Upstaffer since October, 2023
