Senior Machine Learning Engineer

Victor Gueorguiev

I have diverse experience as a data scientist and ML engineer, utilizing my analytical, statistical, and programming skills to collect, analyze, and interpret large data sets, and to build end-to-end AI solutions.

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Victor Gueorguiev

About

I have deployed actionable data-driven solutions, implemented impactful AI features, and solved multiple difficult business challenges. I hold a master's degree in AI and computer science. My wide range of technical competencies include statistics, deep learning, Bayesian optimization, reinforcement learning, NLP & LLMs, software engineering best practices, and cloud infrastructure & Kubernetes.

Core Stack

Selected Projects

AI-based User Voice ID Recognition

AI-based user voice ID recognition for the Living Homes product.

  • Built a voice ID recognition system that can identify users by their voice in near-real-time, and use that to personalize the user's experience.
  • Achieved using fine-tuned Nvidia NeMo models.
  • Python
  • Azure
  • Deep Learning
  • AI

EDR ML-Driven & Explainable Alerting

Machine-learning alerting for endpoint detection and response (EDR), with LLM-based explanations to make alerts interpretable.

  • Developed ML-driven alerting to improve detection signal in the EDR product.
  • Applied LLMs to generate human-readable explanations for alerts.
  • Python
  • PyTorch
  • LLMs
  • Anomaly Detection
  • Bayesian Methods

SEO Optimization via Reinforcement Learning

Amplify Analytix's first marketable product, optimizing SEO using reinforcement learning.

  • Led product development from concept toward a marketable offering.
  • Designed the reinforcement-learning approach driving SEO optimization.
  • Python
  • Reinforcement Learning

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