Anton Zavidonov

Founded and shipped an MVP AI travel discovery app that helps users find places for road trips and weekend travel. Built the full web product in Next.js, deployed on Vercel, using Supabase (PostgreSQL + Auth) for data and user management. This is where I actively practice product skills: problem framing, iteration planning, and shipping based on feedback.

• • Set up an Ollama-based local LLM workflow to perform first-pass bug triage: summarize reports, extract reproduction steps, identify likely component ownership, and propose initial hypotheses.

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Automated and optimized documentation generation in CI using Doxygen and an AI-assisted workflow to improve comment coverage and consistency.

• • Implemented processes to enhance transparency in tasks and invoices, achieving a 40% faster invoice approval rate.

• • Reviewed and developed architecture requirements, ensuring alignment with project goals and reducing implementation issues by 20%.

• • Recruited and onboarded a high-performing team of 2 professionals, reducing staffing gaps and accelerating project timelines by 15%.

Write OTA agents on C++, Ethernet

Designed and implemented 10+ component tests in Python, increasing test

coverage by 30% and reducing regression issues by 25% over six months.

Resolved 25+ critical and high-priority bugs, reducing the defect density by 30%

and improving system stability by a 25% decrease in production incidents.

Achieved High Voltage certification and completed ASPICE training,

strengthening automotive software process improvement and capability

determination knowledge.