👋 Hi, I'm Cherif

• 💻 AI Engineer specializing in LLM & Agentic Systems | Python · Rust
• 🧠 10+ years experience - AI-ready platforms, data-intensive systems
• 🌍 Open to freelance & remote missions
• 🎯 Focus: delivery, performance, clean architecture, real-world impact

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🔍 About Me

𝐒𝐞𝐧𝐢𝐨𝐫 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 10+ years of experience designing and deploying data-intensive platforms and AI solutions in mission-critical environments.

Expertise in 𝐏𝐲𝐭𝐡𝐨𝐧 / 𝐅𝐚𝐬𝐭𝐀𝐏𝐈 / 𝐑𝐮𝐬𝐭, 𝐂𝐥𝐨𝐮𝐝 (𝐆𝐂𝐏, 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬), 𝐚𝐧𝐝 𝐌𝐋𝐎𝐩𝐬 / 𝐋𝐋𝐌𝐎𝐩𝐬, with a strong focus on productionizing Generative AI solutions (𝐑𝐀𝐆, 𝐋𝐚𝐧𝐠𝐆𝐫𝐚𝐩𝐡, 𝐋𝐋𝐌𝐬). Proven technical leadership, managing teams of up to 12 developers and driving complex, high-stakes projects.

Strong track record on large-scale initiatives: massive migrations (+50M records, +3.5M contracts) and digital transformation programs for major organizations (CAC 40 companies, Startup, public sector).

𝐊𝐞𝐲 𝐒𝐤𝐢𝐥𝐥𝐬:

• 𝐀𝐈 & 𝐋𝐋𝐌𝐬: End-to-end design of production-grade LLM systems (RAG, agents, tool use, evaluation frameworks, guardrails, cost optimization)
• 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 & 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: Python, FastAPI , Rust, LangChain, LangGraph, LlamaIndex, Haystack, PyTorch, Ragas
• 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 (𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐢𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧, 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧): Pandas, Polars, Airflow, GCP Workflows
• 𝐂𝐥𝐨𝐮𝐝 & 𝐌𝐋𝐎𝐩𝐬: AWS, GCP, Docker, Kubernetes, MLflow
• 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 & 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐁𝐬 & 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐒𝐞𝐚𝐫𝐜𝐡: PostgreSQL, MongoDB, Redis, Chroma, FAISS
• 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: Distributed systems, APIs, Microservices, Clean Architecture, Hexagonal Architecture
• 𝐎𝐭𝐡𝐞𝐫: Angular, NgRx, Django, Flask, Ionic, OpenPyXL, OAuth2, JWT, OIDC
• 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: France – Paris or Full Remote

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💼 What I’m Looking For

• Freelance backend / AI missions
• Remote or hybrid opportunities
• Long-term technical partnerships
• AI-driven product development

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🧪 Workshops & Mini-Projects

🤖 AI / Deep Learning / LLMs

• Transformers lab: from scratch implementation of attention, multi-head attention, positional encoding, and transformer blocks.

🚀 Quick-Start Templates

Production-ready boilerplates for Python backend projects:

• fastapi-production-kit-postgresql – FastAPI with auth, error handling, Docker + async PostgreSQL integration.
• python-production-kit – Base project structure with logging, config, CI/CD 🔜
• fastapi-production-kit-mongodb – FastAPI with auth, error handling, Docker + async MongoDB integration 🔜
• fastapi-production-kit-cloud-run – + GCP Cloud Run deployment setup 🔜
• langchain-rag-kit – RAG pipeline with vector store, FastAPI endpoint, ready for production 🔜

✍️ Medium Articles

• How I migrated 22 million rows to GCP with zero downtime 🔜

📄 Paper Reproductions

Reproducing research papers from scratch to verify and understand their implementations:

Paper	Field	Status	Repo
Attention Is All You Need	NLP / Transformers		—
Arabic Handwriting Recognition with Wavelets	Computer Vision / NLP	🔜	—

📫 Contact

• Email: me@ckechad.dev
• LinkedIn: https://linkedin.com/in/ckechad
• Portfolio: https://ckechad.dev
• Medium: https://medium.com/@ckechad
• dev.to: https://dev.to/ckechad