Open to opportunities

Mohamed louay Njima

@mohamedlouaynjima

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Aspiring Data Scientist and AI Engineer focused on NLP, RAG, and MLOps.

Tunisia

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What I'm looking for

I’m eager to leverage my technical skills and learning ability in an innovative team as an AI Engineer or Data Scientist—building reliable NLP/LLM systems, deploying models with solid MLOps practices, and improving performance through data-driven iteration.

I’m a recent graduate in Data Science from ESPRIT, passionate about artificial intelligence and data engineering. Through internships, I built practical solutions using NLP, RAG systems, LLMs, and machine learning.

At GHM Consulting, I developed a multi-agent conversational assistant for health insurance claims—translating natural language into SQL (LangGraph, LangChain, NL2SQL) while ensuring reliable and isolated data access. I also improved response time and observability with embedding caching and dynamic model routing using LangSmith and LangFuse.

I’m equally proud of deploying anomaly detection for payment transactions at PwC and building a document search agent at TenStep using Neo4j Knowledge Graph and hybrid GraphRAG/RAG. I’m eager to leverage my learning ability and technical skills in an innovative team as an AI Engineer or Data Scientist.

Experience

Work history, roles, and key accomplishments

Data Scientist Intern

GHM Consulting

Feb 2025 - Aug 2025 (6 months)

Designed and built a multi-agent conversational assistant for health insurance claims, enabling members to query files and reimbursements in natural language. Implemented NL2SQL-based query generation with isolated data access and improved response time using embedding caching and dynamic model routing with LangSmith/LangFuse.

LangGraph NL2SQL Redis MySQL fastAPI Langsmith Langfuse Caching Observability

Data Scientist Intern

PwC

Jul 2024 - Aug 2024 (1 month)

Developed anomaly detection models to reduce merchant fraud in payment transactions and deployed scoring to flag suspicious activity. Built alert prioritization logic using SHAP and Precision-Recall to support business team workflows.

Anomaly Detection fastAPI Docker Transaction Scoring SHAP Precision Recall

Data Scientist Intern

TenStep

Jul 2023 - Nov 2023 (4 months)

Created a document search agent to prioritize project risks using internal documents via knowledge-graph enhanced retrieval. Compared GraphRAG vs. traditional RAG and implemented a hybrid architecture to improve result relevance and reliability.

Neo4j Knowledge Graphs RAG Graph RAG Semantic Search Python Prioritization