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Zhenya K. — Mid-Level AI Engineer from Armenia

Zhenya K.

Mid-Level AI Engineer

Armenia 2-3 years
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Languages
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About

Zhenya K. is a leading Voice AI Engineer and entrepreneur, known as the founder of Doccy, an innovative Armenian medical voice AI platform. From Yerevan with operations extending to San Francisco, Zhenya built Doccy from scratch to achieve 5-figure annual recurring revenue with a low operating cost model, achieving subscriptions from over 20 active doctors and a major hospital partnership. A second-place winner at the renowned YC × Cactus × Google DeepMind Voice AI Hackathon, Zhenya has demonstrated exceptional skill in developing on-device and near-real-time speech recognition technologies. His extensive project portfolio includes building a proprietary Armenian medical speech dataset used in real hospital environments and various engineering projects involving C/C++, Python, TypeScript, and Dart. Zhenya excels in leveraging advanced AI technologies and cloud infrastructure, including AWS and GCP, to create efficient, scalable solutions tailored for the medical industry and beyond.

Experience

  • Competitor

    YC × Cactus × Google DeepMind Voice AI Hackathon · 2026 — Present
    Achieved 2nd place among around 200 teams by developing a comprehensive voice AI product within a 48-hour timeframe. Executed real-time audio streaming, integrated an OpenAI TTS pipeline, and implemented on-device inference successfully under tight deadlines.
  • Co-founder & Lead Engineer

    Doccy · 2023 — Present
    Developed a medical dictation startup focused on Armenian speech recognition. Designed an inference pipeline to facilitate near-real-time dictation, minimizing reliance on cloud resources. Created and maintained a unique medical speech dataset exclusive to the Armenian language. Built dictation workflows for web, desktop, and mobile platforms using TypeScript and Python while iterating with medical professionals. Developed a desktop agent for DOCX template filling in Python, significantly enhancing report generation efficiency. Managed AWS and GCP infrastructure, ensuring production reliability without a dedicated DevOps team. Released cross-platform mobile applications with Flutter and created a companion app for Android using Kotlin for on-device dictation.

Skills & Expertise

Education

  • Bachelor of Science in Software Engineering
    National Polytechnic University of Armenia · 2021 — 2025
  • Software Engineering
    42 Yerevan · 2021 — 2025
  • Computer Science
    Synopsys Armenia Educational Department · 2023 — 2025

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