●Selected Work

Cut vector conversion time from 45 minutes to 8 seconds per asset—a 337x speedup. Design teams were hemorrhaging billable hours manually tracing logos and icons in Illustrator. Built a GPU-accelerated pipeline combining neural upscaling with dual vectorization engines (Potrace + VTracer), plus an SVGO optimization stage that reduces file sizes by 40-60%. Now processing 2,000+ conversions monthly with zero manual intervention.

Recovered 2+ hours daily lost to context-switching between terminal, database clients, and config files. Claude Code power users were drowning in fragmented tooling—no unified view of sessions, memory state, or MCP server health. Architected a native Electron control center with 25 tRPC endpoints managing PostgreSQL, Memgraph, and Qdrant memory systems. 80% test coverage, zero production incidents since launch.

Slashed cloud GPU costs by 73% while boosting restoration quality by 4dB over commercial alternatives. A restoration startup was burning $12k/month on fragmented API calls with inconsistent results. Engineered a unified orchestration layer managing 14+ deep learning models (SUPIR, HAT, CodeFormer) with thread-safe VRAM allocation and LRU eviction across 49GB. Now delivering 28.5dB PSNR quality at 99.95% uptime—outperforming Magnific AI and Topaz on blind tests.

Reduced security assessment setup time from 4 hours to 12 minutes with zero hallucinated commands. Pentesting teams were wasting senior hours on boilerplate reconnaissance while generic LLMs generated dangerous garbage. Built a domain-adapted Qwen2.5 model through two-stage LoRA training: cybersecurity corpus adaptation, then agentic fine-tuning for tool calling and OPSEC. 3.6GB adapters trained on 12GB curated security data now automate 60% of routine enumeration tasks.

Built a production AI voice platform handling single-voice TTS, multi-speaker conversations, and full audiobook production from manuscript uploads — all on a single RTX 3080. The platform runs Qwen3-TTS 1.7B with 12-second P50 latency, 41+ curated voices, and zero-shot cloning from short reference audio. The Audiobook Studio parses DOCX/PDF/TXT manuscripts into chapters with dialogue detection, assigns character voices, applies pronunciation dictionaries, and exports distribution-ready M4B with chapter markers. Multi-voice conversations support drag-and-drop line ordering, per-line effects (speed, volume, gap), stage directions, multiple takes, ambient audio, and a waveform timeline editor. 99.95% uptime, 0.03% error rate, Stripe subscription billing.