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nolancacheux/README.md
Nolan Cacheux — AI/ML Engineer • Enterprise Agents, RAG & MLOps

AI/ML Engineer • Enterprise Agents, RAG & MLOps

I build production-ready AI systems: enterprise agents, governed RAG, ML pipelines, and cloud-native MLOps platforms.

Portfolio CV LinkedIn Email Freestyle


What I build

  • Enterprise AI agents integrated into real business workflows.
  • RAG systems with source-backed answers, evaluation, observability, and safe fallback behavior.
  • MLOps pipelines for forecasting, computer vision, and GenAI products.
  • Cloud-native deployments across GCP, AWS, Azure, Databricks, MLflow, Docker, and Terraform.

Featured work

Area Project Why it matters
Enterprise Agents & RAG RAG Equity Research Agent Multi-agent equity research system with LangGraph orchestration, hybrid RAG over SEC filings, semantic reranking, Azure deployment, and Telegram bot interface.
MLOps & Computer Vision AI Product Photo Detector Production-ready image-classification pipeline with EfficientNet-B0, FastAPI inference, MLflow, Vertex AI Pipelines, DVC, drift monitoring, and CI/CD.
Applied NLP AI Video Comment Analyzer Full-stack ML app with BERT sentiment classification, BERTopic clustering, local LLM summaries, Next.js, FastAPI, and Pytest.
Hackathon / Fine-tuning Mistral AI Worldwide Hackathon — Ecotopia Selected from 7,000+ applicants; fine-tuned 4 SLMs with QLoRA and built an interactive political simulation with structured LLM outputs.

Stack

Same stack as my CV.

Category Tools
AI/ML Engineering LangChain, LangGraph, HuggingFace, RAG, Vector Databases (Vertex AI, FAISS, Chroma DB, Qdrant, Pinecone, Weaviate), Finetuning, Python, PyTorch, TensorFlow, scikit-learn, XGBoost, LightGBM, Prophet, Forecast, BERTopic, Pandas, NumPy, MLOps, MLflow, W&B
Cloud Platforms GCP (Cloud Run, Cloud SQL, Cloud Storage, Cloud Scheduler, IAM, VPC networks, Vertex AI), AWS (Airflow/MWAA, EKS, S3, ECR, SageMaker, Bedrock), Azure (Container Apps, Azure OpenAI, App Service, Storage, Key Vault)
Big Data & Data Engineering Apache Spark / PySpark, Databricks, Delta Lake, SQL, PostgreSQL, MongoDB, Redis, Neo4j, Cassandra
Infrastructure & DevOps FastAPI, Pydantic, Docker, Terraform, GitHub Actions (CI/CD), SonarCloud
Teamwork Git, GitHub, Jira, Confluence, Agile/Scrum

Beyond code

Professional freestyle football athlete and association president since 2019: Junior World Champion, Top 5 Europe, Top 15 World, 35M+ views, and 300+ performances for clubs, brands, and media.


GitHub contribution grid snake animation

Building AI systems that move from prototype to production.

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  1. Rag-Equity-Research-Agent Rag-Equity-Research-Agent Public

    AI-powered autonomous equity research agent. Multi-source analysis (Yahoo Finance, SEC 10-K, Reddit, news) with LangGraph orchestration, hybrid RAG, and real-time market data. Generates professiona…

    Python 12 1

  2. AI-Video-Comment-Analyzer AI-Video-Comment-Analyzer Public

    AI-powered YouTube comment analysis with BERT sentiment detection, BERTopic clustering, and Ollama AI summaries. Built with Next.js 15, FastAPI, and HuggingFace transformers.

    TypeScript 5

  3. AI-Product-Photo-Detector AI-Product-Photo-Detector Public

    Production-grade MLOps pipeline for AI-generated product image detection. EfficientNet-B0, FastAPI, DVC, MLflow, Vertex AI Pipelines, Terraform, Cloud Run, Prometheus/Grafana monitoring.

    HTML 3

  4. AI-Visualizer-Neural-Network-Architecture AI-Visualizer-Neural-Network-Architecture Public

    Interactive 3D educational platform for understanding Deep Learning architectures - From Perceptrons to Transformers. Built with Next.js, Three.js, TypeScript.

    TypeScript 3

  5. AI-Chess-Assistant AI-Chess-Assistant Public

    A Chrome extension that integrates Stockfish chess engine with chess.com to provide real-time move analysis, position evaluation, and educational insights into chess engine behavior. Features autom…

    TypeScript 9

  6. AI-Agent-Grok-Trading-System AI-Agent-Grok-Trading-System Public

    Autonomous AI trading system using xAI Grok for market analysis and Interactive Brokers for execution

    Python 5