Anas Limem

About Me

I'm an AI and Machine Learning Engineer focused on building intelligent systems and autonomous AI agents. I enjoy transforming innovative ideas into practical, end-to-end solutions. My experience focuses on developing multi-agent frameworks, optimizing LLM pipelines, integrating vector databases, and deploying scalable AI services. Always eager to explore new technologies, I aim to design systems that think, adapt, and learn .

Professional Experience

• DrugIT — AI Intern 10/2025 – Present
  • Developed 4 autonomous AI agents using Google’s ADK framework to enhance pharmaceutical intelligence.
  • Deployed multi-agent systems across 4 MCP servers, improving data retrieval and automation.
  • Integrated Neo4j as a graph database for knowledge mapping and entity linking.
• Vision Age VFX — AI Intern 09/2025 – 10/2025
  • Built a feedback-driven model that automatically generates metric reports from performance data.
  • Integrated an LLM for contextual report generation, reducing manual analysis time by 20%.
• BlueBlood — AI Intern 02/2025 – 05/2025
  • Designed a robust CV parser for diverse document formats, increasing extraction accuracy by 30%.
  • Enhanced semantic matching of candidate profiles using LLM APIs and FAISS for vector search.
  • Improved top-ranked retrieval precision by 20%.

Education

• Higher Institute of Applied Sciences and Technology of Mateur
  B.Sc. in Computer Science 09/2023 – Present
• El Alia High School
  Baccalaureate of Mathematics 2023

Projects

• VectorMind AI
  AI-powered document Q&A platform with LLM integration, allowing context-aware responses using FAISS and LangChain.
  Repository link
• AI-Career-Mentor
  Cloud-native AI application that analyzes CVs, detects skill gaps, and generates personalized learning roadmaps.
  Repository link
• Optimizers-from-Scratch
  Implemented a neural network from scratch to classify MNIST digits, achieving 97% accuracy and mastering backpropagation mechanics.
  Repository link

Publications & Blogs

• Understanding REFRAG: Efficient LLM Compression and Curriculum Learning Explained
  Read on Medium
• Mastering Learning Rate Schedulers in Deep Learning
  Read on Medium
• CV Extraction Isn’t as Easy as I Thought
  Read on Medium

Technical Skills

Leadership & Community Involvement

IEEE Computer Society Chapter — Chair 2024 – Present

As Chair of the IEEE Computer Society Chapter at ISSAT Mateur, I led and co-organized multiple large-scale tech events and hands-on workshops focused on AI, web development, and innovation. My role focused on inspiring students to explore modern technologies, promoting collaboration between chapters, and delivering real-world technical experiences.

Choufli Code — CP Event

Organized a creative event about competitive programming blended technology and entertainment to engage students in a fun, community-driven atmosphere, enhancing interest in computer science and teamwork.

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Bizerte TCodi - CP Collaboration

Collaborated with the IEEE Student Branch of Bizerte to host a cross-chapter initiative focused on coding, innovation, and problem-solving fostering teamwork and knowledge exchange between national student communities.

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Codex — Problem Solving Collaboration

Organized an event for new students to introduce them to problem solving with IEEE CS ENETCOM, IEEE CS ISIMM and IEEE CS ESPRIT, featuring workshops and talks from industry experts to inspire innovative thinking among students.

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AI Workshop — Building a Chatbot

Delivered a hands-on workshop guiding students through the process of building an intelligent chatbot using Python and ollama. The session was hosted at our student branch and focused on practical AI development techniques.

Workshop Post

Advanced NLP Techniques Workshop — Bizerte TCodi 2.0

Led an advanced workshop on Natural Language Processing techniques at the Bizerte TCodi 2.0 event. The session covered state-of-the-art NLP methods, transformer architectures, and practical implementations for text analysis and understanding.

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Panel Moderator — Bizerte TCodi 2.0

Moderated a panel discussion at the Bizerte TCodi 2.0 event, facilitating conversations between industry experts and students about IEEE and CS opportunities and how can students leverage these resources for their career development.

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