Compact language models, tokenizers, efficient training systems, and reproducible ML infrastructure.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
rav2d
May 3, 2026 – Present
AV2 video decoder in Rust — full port of dav2d C logic to memory-safe Rust. 47K lines, 786 tests. Assembly DSP via FFI.
View Projecttv-playout-frontend
February 16, 2026 – Present
TV channel playout dashboard — real-time schedule management and monitoring UI built with Laravel, Inertia, React & Vite.
View Projecttv-playout-backend
February 16, 2026 – Present
TV channel playout API — schedule management, playlist automation, and broadcast control built with Laravel.
View Projectfast-tv-playout-core
February 16, 2026 – Present
Go-based FAST TV playout core — VOD-to-Live, SSAI, HLS/CMAF streaming, and EPG generation.
View Projectvod-streaming-server
February 16, 2026 – Present
Video-on-Demand platform — NestJS/Next.js admin, TUS resumable uploads, Bull queue processing, and HLS player.
View Projectlive-streaming-server
February 16, 2026 – Present
Complete live streaming solution — NestJS API, Next.js dashboard, HLS player, and MediaMTX for RTMP/HLS/WebRTC.
View Projectbroadcast-playout-engine
February 16, 2026 – Present
Professional Node.js broadcast playout automation engine with CasparCG integration, FFmpeg transcoding, and advanced scheduling capabilities
View Projectkazakh-nlp-toolkit
February 16, 2026 – Present
The open Kazakh-language NLP stack — translation, GPT-2/RWKV training, fine-tuning, summarization, tokenization, and dataset prep.
View Projectadapto-digital-tv
February 10, 2026 – Present
Open-source platform for TV content management and live streaming
View Projectkeste
October 8, 2025 – Present
Minimalist spreadsheet built on SQLite — sheets, cells & formulas stored as tables. Fast, portable, scriptable, LLM-friendly. Bridges spreadsheets and SQL for local analytics & AI workflows.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards personal projects, indicating self-motivation and a passion for technology. The diversity of projects, ranging from video decoders to NLP toolkits and streaming platforms, suggests a broad interest and ability to adapt to various technical challenges. While the target role is Frontend Developer, the candidate's extensive backend and systems-level work (Rust, Go) indicates a full-stack mindset and a willingness to explore different areas, which can be a cultural asset for cross-functional teams. However, the sheer breadth might also suggest a lack of deep specialization in frontend if not validated further.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.