I like to build products — full-stack • AI-adjacent • practical UX
CS-minded builder focused on shipping small, useful products. Recently:
- Autonomous Agents: Built an NBA Front Office agent that evaluates trades and roster construction.
- ML Fundamentals: Implementing core algorithms from scratch, and watching Andrej Karpathy's Neural Networks course
- System Architecture: Designing multi-service applications using Java and Python with Docker orchestration.
I value clean READMEs, reproducible setups, and small demos people can actually run.
Languages: TypeScript/JavaScript, Python, Java, Go, Swift
Frontend: React, Vite, HTML/CSS
Backend: FastAPI, Flask, Node, Java (Maven)
Infra/Dev: Docker & Compose, Nginx, GitHub Actions
Data/AI: LLM Orchestration, Embeddings (Ollama/OpenAI), Scikit-learn
Repo: LeGM
What it does: An autonomous AI agent that acts as an NBA General Manager. It analyzes real-time player data, evaluates trade fairness using custom logic, and provides strategic roster recommendations.
Key Features: Multi-step reasoning for trade analysis, real-time data fetching via NBA API, and "Phase 3" scouting logic.
Stack: Python, OpenAI SDK, Pandas, NBA_API.
Repo: simple-ats
What it does: Compares resumes and job descriptions via embeddings with a Java service calling a Python FastAPI service; dev/prod via Docker Compose.
Stack: Java (Maven), Python (FastAPI), TypeScript, Docker, Nginx, Ollama.
Notes: Demonstrates cross-language service communication and container orchestration.
Repo: sift
What it does: Personalized gift suggestions via K-means on user preferences; shipped as web + React Native app. Drove 60 sales from 1.3k+ users and lifted engagement 1.75× after adding a Tinder-style swipe UI.
Good for: Recommender systems, RN gesture UX, and real-world user growth.
Repo: fantasyAI
What it does: Leveraging machine learning to predict player performance and optimize fantasy lineups.
Focus: Data engineering pipelines, regression models, and sports analytics.
Stack: Python, Scikit-learn.
- Resume: PDF
- LinkedIn: linkedin.com/in/yves-alikalfic/
- GitHub: github.com/yves-a
New Grad Software Engineering roles (Full-stack/Backend/AI), starting May 2026.
For a quick repo tour or feedback, email [email protected].