Building AI systems from model → pipeline → infrastructure → production.
I'm an AI Engineer focused on building practical, production-oriented AI systems rather than isolated model experiments.
My work sits at the intersection of machine learning, software engineering, and AI infrastructure, with a particular focus on:
- 🎙️ Speech AI — ASR, TTS, translation and speech-to-speech systems
- 🎬 Multimodal & Video AI — video understanding, semantic analysis, reframing and automated content pipelines
- 🧠 LLM Systems — local LLMs, embeddings, RAG, retrieval and structured AI workflows
- ⚙️ AI Infrastructure — containerized inference, GPU workloads, databases and self-hosted services
- 🏗️ AI System Architecture — taking ML systems from prototype to deployable products
I enjoy solving the engineering problems between “the model works” and “the product works.”
PyTorch · Transformers · Whisper · NeMo · Vosk · Piper · sentence-transformers · Ollama
REST APIs · PostgreSQL · pgvector · Redis · Laravel · Nuxt
Docker Compose · GPU Inference · NVIDIA/CUDA · Nginx · Linux · VPS Deployment
Speech AI █████████████████░░░
Multimodal AI █████████████████░░░
LLM Systems ████████████████░░░░
AI Infrastructure ████████████████░░░░
Retrieval / RAG ███████████████░░░░░
Backend Engineering ██████████████░░░░░░
These bars represent my current technical focus, not proficiency scores.
M.Sc. Computer Science — Artificial Intelligence
B.Sc. Biomedical Engineering — Bioelectric
My background has evolved from signal processing and machine learning toward building complete AI-powered software systems.
