I'm a product engineer and builder working at the intersection of applied AI, marketing technology, and software development. With roots in EdTech and product marketing, I design software that eliminates repetitive friction without recurring SaaS fees: private offline speech transcription, psychotherapeutic AI tools, and high-throughput data processing workflows. I turn capable AI models into resilient, production-ready desktop and web applications with intuitive user experience.
| Project | What it does | Focus |
|---|---|---|
| Slysh! | Private desktop speech-to-text workstation for Windows. SOTA Russian recognition via GigaAM v3, multilingual Whisper, bot-free meeting recording (WASAPI loopback), and batch YouTube channel subtitle extraction without cloud fees. | Speech AI · Python · FastAPI · pywebview |
| Sleepsy | AI-powered psychological dream analysis platform grounded in 5 established clinical frameworks (Jung, Freud, Gestalt, CBT) rather than superficial horoscopes. | Generative AI · React 19 · Supabase |
| Data Comparator | High-speed dataset comparison and deduplication utility built for everyday marketing analytics, list subtraction, and cross-source data reconciliation. | Data Tools · Angular · RxJS · Web |
- Marketing & EdTech Roots: My experience working in an online school shaped my product-first mindset — software must eliminate hours of routine work, have an intuitive user journey, and solve concrete problems without unnecessary friction.
- Local-First & Data Privacy: Confidential recordings, interviews, and notes should belong to the user. Heavy processing should happen locally on-device whenever possible.
- Utility over Hype: Focus on reliable, production-grade tools for everyday workflows, not throwaway AI demos.
- Product Engineering & Strategy
- EdTech & Marketing Analytics
- Speech AI (ASR, Diarization, WASAPI Loopback)
- Local-First & Desktop Software
- LLM Integration & Prompt Architecture
- Conversion Rate Optimization & Funnels
- Local-first desktop tools & audio workflows: offline ASR, diarization, audio indexing, and creator productivity tools.
- Applied AI for EdTech & psychology: structured analysis engines, educational AI assistants, and evidence-grounded applications.
- Marketing technology & product engineering: conversion funnels, onboarding flows, and internal productivity tooling.
- Open-source software: tools that eliminate recurring SaaS subscriptions for solo creators, researchers, and small teams.
- Telegram: @dabder88
- Flagship Project: slyshai.pro · github.com/dabder88/slysh