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FREN
// Skills

Skills

From LLM architectures to data pipelines, with the projects that put them to work.

LLM & Generative AI

  • Whisper, Faster-Whisper

  • BERT (NER)

  • Hugging Face Transformers

  • Ollama (local LLMs)

  • Prompt Engineering

  • LLM APIs (OpenAI, OpenRouter)

  • Agents, Function Calling

  • LangChain

  • Transformer architectures (MoE, Sparse Attention)

RAG & Semantic Search

  • Qdrant

  • Hybrid search (Dense + BM25)

  • Cross-Encoder Reranker (BAAI)

  • Reciprocal Rank Fusion

  • Jina Embeddings

  • tree-sitter (AST-based chunking)

  • RAG evaluation (Ragas)

  • Kokoro-ONNX, Silero VAD

  • RAG architectures (Advanced, Modular, Graph, Agentic, Corrective)

ML & Reinforcement Learning

  • PyTorch

  • Scikit-learn

  • DQN, Q-Learning

  • PPO (Stable-Baselines3)

  • YOLO v5/v8, OpenCV

  • TensorBoard

  • ROS

  • SAC, DreamerV3 (MBRL)

  • Optuna, Weights & Biases

Data Engineering

  • ETL pipelines, PySpark

  • Pandas, NumPy

  • PostgreSQL, SQLAlchemy

  • Pydantic, Joblib

  • MongoDB

  • Redis

  • Python, SQL

  • MySQL

Full-Stack & DevOps

  • FastAPI

  • NextJS, Node.js, ExpressJS

  • Next.js

  • TypeScript, Tailwind CSS

  • WebSockets

  • Docker

  • CI/CD, GitHub Actions

  • Caddy, server hardening (CSP, non-root containers)

  • Microservices architecture

  • GCP, Vercel, Render, VPS