Projects
Co-Founder & Tech LeadPortfolioMetrics
Sep 2023 - present
I co-founded and launched PortfolioMetrics, an online tool for backtesting and optimizing investment portfolios. The tool provides quantitative analysis to help investors make informed decisions, understand expected returns, and assess potential risks. I developed the app end-to-end, implemented finance metrics and algorithms, build the backend and frontend, and deployed it to the cloud.
Quantitative FinancePythonFastAPINext.jsMaterialUIPlotlyAWSRedisDockerTerraformStripe
Machine Learning Engineer at GoodAIAI People Game
Nov 2023 - Apr 2025
AI People is a sandbox game that leverages LLMs to control non-player characters and generate dialogue in real-time. I designed the backend application with decision engine, led the development of the distribution platform with payment integration, and built the cloud infrastructure for deployment.
LLMPythonFastAPIPyTorchAzureDockerTerraformReactMaterialUIStripe
Machine Learning Engineer at PiVa AICheckFungi Mobile App
Dec 2022 - Oct 2023
CheckFungi is a mobile application that provides AI-based and expert-verified identification of fungi species from images and metadata. I developed backend application and web admin, and managed on-premise deployment.
Computer VisionPythonFastAPIReactRabbitMQPostgresDocker
Graduate Researcher at CTUFine-grained Visual Recognition with Side Information
Jan 2021 - Jan 2022
For my Master's thesis, I proposed a computer vision method for fine-grained visual recognition of snake and fungi species using state-of-the-art deep learning architectures (CNNs and Vision Transformers). To improve classification performance, I integrated contextual information, adopted specialized loss functions to address class imbalance, and developed a weakly supervised localization method based on saliency maps. As a part of my work I participated in the SnakeCLEF 2021 challenge, where I applied my method and co-authored a working note paper.
Computer VisionPythonPyTorch