Viktor Hodobay
CTO at ZenZen | Mentor | Developer | Innovator
Building the future of health tech, one innovation at a time
About Me
I'm a dedicated developer, currently CTO at ZenZen, and mentor with several med tech startups. With over a decade of experience collaborating with tech leaders and agile teams, I focus on driving innovation and building scalable health tech products that make a real impact.
What I Do
Product Ownership & Strategic Leadership
I bridge the gap between technical teams and business stakeholders, managing complex product roadmaps and overseeing the entire development lifecycle. At ZenZen Diabetes Support, I successfully deliver GDPR and HIPAA-compliant solutions while managing relationships with healthcare providers and regulatory bodies.
Full-Stack Development & AI Integration
My expertise spans JavaScript frameworks (React, Vue.js), Python, NodeJs backend development, and mobile development with Flutter and Swift. I specialize in AI-powered applications, implementing RAG systems, and integrating generative AI into production environments using AWS and Google Cloud.
Mentorship & Coaching
I specialize in mentoring startups focused on health applications, AI, generative AI, and RAG systems. With over a decade of experience, I guide teams through product development and innovation, ensuring scalable and impactful solutions that address real-world needs.
Health Tech Innovation
As co-founder of ZenZen Diabetes Support, I lead development of predictive patient management systems and mental health tools, coordinating with medical advisors and regulatory consultants to improve patient outcomes.
AI & Machine Learning
PyTorch & TensorFlow
I use PyTorch and TensorFlow to build, train, and evaluate machine learning models, applying both frameworks depending on the needs of the project, from rapid experimentation to production-grade deployment.
Model Fine-Tuning
I evaluate and fine-tune open-source models to improve accuracy and reliability for domain-specific tasks, including diabetes data analysis at ZenZen Diabetes Support, tailoring pretrained models to real-world healthcare data.
Data Pre-Processing
I design robust data pre-processing pipelines, cleaning, normalizing, and structuring raw and healthcare-sensitive datasets to ensure high-quality inputs for training and evaluation.
Applied AI in Health Tech
I integrate RAG systems, LLMs, and vector databases into production environments, combining model development with practical engineering to deliver AI-powered features patients and providers can rely on.
Key Skills
Programming Languages
JavaScript, TypeScript, Python, Dart, Swift
Frameworks & Libraries
React, Vue.js, Express, Node.js, Flutter
Cloud Platforms
AWS, Google Cloud, Serverless Architecture
AI & Machine Learning
PyTorch, TensorFlow, Keras, Model Fine-Tuning, Data Pre-Processing, RAG, LLMs, Vector Databases
Product Management
Jira, Confluence, Stakeholder Management
Design & Collaboration
Adobe XD, Figma, No-Code Platforms
Compliance & Security
GDPR, HIPAA, Health Tech Regulations
Development Tools
Git, CI/CD, Docker, Testing Frameworks
Let's Build Something Amazing
I'm always open to new collaborations, mentoring opportunities, or conversations about tech and innovation. Let's connect and explore how we can create impactful products together!