I'm an Applied AI / ML Engineer and founder of Alignes β an AI product that helps apparel teams turn garment photos, sketches, drawings, and notes into structured tech packs for sampling and production.
I work at the intersection of AI systems, product engineering, and workflow automation.
Alignes is AI tech pack software for apparel teams.
It generates structured first drafts of tech packs with specs, measurements, BOM, construction details, callouts, flat sketches, PDF export, and read-only sharing.
My work on Alignes includes:
- AI system design for structured document generation
- Product strategy and workflow design
- Backend and product engineering
- Evaluation and quality-control loops for AI outputs
- User feedback and product iteration
Links:
- π Website: alignes.app
- π Sample tech pack: View sample
- π Get started: Create your first tech pack
I build AI-powered workflows that combine machine learning, backend systems, and product experience.
Areas I work with:
- LLM, NLP, and multimodal AI workflows
- Structured generation and document automation
- Data preprocessing with Pandas, Polars, and PySpark
- Model training and evaluation with PyTorch, Scikit-learn, CatBoost, and XGBoost
- Python backend development
- AI evaluation, validation, and feedback loops
I'm especially interested in applied AI products where model quality, UX, reliability, and business value all matter.
Sensei is my Python framework for building robust HTTP requests with type hints and little to no implementation overhead.
- GitHub: CrocoFactory/sensei
- Docs: sensei.crocofactory.dev
- Email: axbelenkov@gmail.com
- LinkedIn: linkedin.com/in/axbelenkov



