Open to opportunities

Mootez Kniss

@mootezkniss

Message

I'm building production LLM copilots and AI systems for telecom operations.

Tunisia

Message

What I'm looking for

I'm seeking my first full-time role building production AI systems, especially LLM, RAG, data, and AIOps solutions for real-world operational challenges.

At Huawei, I built NetworkAnalyzer, a production LLM-powered analytics copilot for mobile network operators on the SmartCare platform. I designed an agentic RAG engine on AWS Bedrock that turns natural-language questions into validated SQL over live network and commercial databases.

I delivered the full-stack FastAPI and WebSocket chat experience, analytics dashboard, and human-in-the-loop operations portal, alongside an XGBoost churn model achieving 0.885 AUC-ROC. My work combines grounding, hybrid BM25 and FAISS retrieval, schema knowledge graphs, self-correction, and anti-hallucination controls.

I'm also building AIOps, SDN security, and time-series ML projects, from LLM diagnostic agents for telecom anomalies to dynamic OpenFlow firewalls and live sensor forecasting APIs. I’m seeking my first full-time role building production AI systems.

Experience

Work history, roles, and key accomplishments

AI & Data Engineering Intern

Huawei

Feb 2026 - Aug 2026 (6 months)

Completed a six-month end-of-study internship in the Sales & Solutions department, building NetworkAnalyzer, an LLM-powered analytics copilot for mobile network operators on Huawei's SmartCare platform. Designed a custom agentic RAG engine on AWS Bedrock with self-correction, hybrid retrieval, and anti-hallucination grounding, and delivered a full-stack chat interface, analytics dashboard, and chu

Agentic RAG fastAPI WebSockets SQL BM25 Faiss Knowledge Graphs XGBoost MQTT Human In The Loop

Education

Degrees, certifications, and relevant coursework

École Nationale d'Ingénieurs de Tunis

Engineering Degree, ICT Engineering

2023 -

Activities and societies: Active member of G2FOSS, contributing to workshops and community events.

Pursuing an ICT Engineering degree combining machine learning, networking, and systems. Active member of G2FOSS, contributing to workshops and community events.