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Achievements

Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Shark

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tyakovenko/README.md

Hi, I'm Taya!

I build ML systems for work where a wrong answer is expensive and the model alone isn't enough. The model does the heavy, repetitive work while a person steers the decision. I work on the whole loop: the data pipeline, model integration, performance evaluation, human input, and the system improvement plan.

Recent work: Region of interest detetion in microscope images, LoRA/QLoRA fine-tuning for credit risk, network-traffic anomaly detection, and an agent orchestration tool with scoped, reviewable agents.

Check out my full portfolio here!

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  1. blogAI blogAI Public

    Paste an article URL + your rough notes → get a blog post draft and LinkedIn post in your voice. Built with Gradio, Qwen 2.5 7B, and a Telegram bot for mobile capture. Live on HuggingFace Spaces.

    Python

  2. tlaGuards tlaGuards Public

    A TLA+ model checker gates and grades a Claude agent's deploy actions, catching trajectory-level safety violations that final-state success metrics miss.

    Python

  3. octopus octopus Public

    Goal-oriented AI agent orchestration CLI. Runs your plan stage by stage with scoped, budgeted, human-reviewed agents and an audit trail for every decision.

    Python

  4. objectDimensions objectDimensions Public

    Computer-vision pipeline that measures a rigid object's real-world dimensions from phone photos, given one known dimension. No reference marker, with built-in image-quality checks.

    Python

  5. evalkit evalkit Public

    A thin protocol for evaluations: validate the grader, grade the trajectory, show the baseline, report the null.

    Python

  6. night-to-day-imgConversion night-to-day-imgConversion Public

    A U-Net pipeline that enhances low-light and night-time photos toward daylight, iterated across four model versions, with a live Gradio demo and Docker-packaged inference.

    Python