About
Passionate AI researcher blending science and engineering
I’m Mehyar Mlaweh, a PhD Candidate at LAMSADE Laboratory (Université Paris‑Dauphine – PSL), supervised by Prof. Tristan Cazenave. My thesis focuses on Monte Carlo Tree Search for Molecule Design, combining computational chemistry and AI for next‑generation drug discovery.
I blend research rigor with engineering creativity across deep learning, molecular modeling, and symbolic reasoning. Outside the lab, I’m a paper reader, coffee lover, music enthusiast, and proud Formula 1 fan.
Research Focus
AI for Molecular Design
Monte Carlo Tree Search & generative AI for 3D RNA/protein design. Reinforcement learning & probabilistic search to discover novel molecular architectures.
Generative AI & LLM Applications
Multimodal systems (RAG, Vision-Language Models) applied to biomedical/chemical domains. End-to-end GenAI pipelines for automation and discovery.
Experience
PhD Researcher
LAMSADE, Université Paris-Dauphine – PSL, Paris, France
Nov 2025 – Present
Thesis: Monte Carlo Tree Search for Molecule Design. Focus on 3D RNA/protein structures for drug discovery.
PhD funded by PRAIRIE – Paris AI Research Institute.
Generative AI Engineer
Wealthy-Technology, Paris, France
Jun 2024 – Present
Big data, medical imaging, RAG, LLM deployment, AWS, vector DBs, end-to-end AI solutions.
AI Engineer (Freelance)
Upwork
Nov 2022 – Present
Automation tools, data analysis, Python scripting, RAG.
Research Intern
LAMSADE, Université Paris-Dauphine – PSL
Feb 2025 – Aug 2025
RNA inverse folding, bioinformatics, sequence prediction, computational modeling.
Python Instructor
Dauphine Tunis
Summer 2024, 2025
Research Intern
IRIT, Toulouse, France
May 2024 – Jun 2024
NLP, transformers (PLMs), legislative document analysis.
Research Intern
GRIFT CRISTAL Laboratory, Tunis
Jan 2023 – Jun 2023
Density estimation, model evaluation, neural networks.
Data Analyst
Gammal Tech, Egypt
Jun 2022 – Sep 2022
Course creation, C/C++, DB management, Power BI.
Education
PhD in Artificial Intelligence
Université Paris-Dauphine – PSL, France
2025 – Present
Master’s in Artificial Intelligence and Data Science
Université Paris-Dauphine – PSL
2023 – 2025
Valedictorian (15.74/20) – Optimization, Algebra, Deep Learning, NLP, Generative AI, Computer Vision etc.
Bachelor’s in Business Intelligence
IHEC Carthage
2020 – 2023
(16.79/20)
Teaching
University teaching & course materials
Teaching
Master IASD (Apprenticeship) — Université Paris-Dauphine – PSL
2025 – 2026
Course: Deep Learning for Image Analysis
View ResourcesProjects
Explore my work across datasets, LLM fine-tuning, RAG systems, and classical ML
- All
- Datasets
- Fine-tuning & LLMs
- RAG & Multi-Agent
- ML & Data Science
Qwen-72B Arabic Islamic LLM
72B Qwen fine-tuned on Arabic Islamic corpus (tafsir, hadith, fiqh) – RunPod multi-GPU
Medical Image Captioning
Vision-language models, AWS, vector DBs, fine-tuning
Publications
Research contributions in AI
BeeRNA: Tertiary Structure-Based RNA Inverse Folding Using Artificial Bee Colony
Mlaweh, M., Alaya, I., & Cazenave, T. (2026)
Accepted at AI in Drug Discovery Workshop (AAAI 2026), EXPO Singapore — 26 January 2026
@misc{mlaweh2025beernatertiarystructurebasedrna,
title={BeeRNA: tertiary structure-based RNA inverse folding using Artificial Bee Colony},
author={Mehyar Mlaweh and Tristan Cazenave and Ines Alaya},
year={2025},
eprint={2511.21781},
archivePrefix={arXiv},
primaryClass={q-bio.BM},
url={https://arxiv.org/abs/2511.21781},
}Awards
Recognitions for excellence in AI research, hackathons, and academics
First Place
Hackathon on "Airbnb and the Olympics"
2024 – Innovative AI solution for Olympic accommodation optimization
Second Place
Hack for Care and Culture with AI
2024 – AI-driven cultural preservation and healthcare integration
Valedictorian
Master's in Artificial Intelligence and Data Science
Université Paris Dauphine – PSL
Extracurricular Activities
Startup Presenter – Wealthy Technology
May 2025
VivaTech 2025 – Paris Expo Porte de Versailles, France
Represented Wealthy Technology at Europe’s biggest tech conference, demoing our GenAI‑powered medical‑imaging platform. Special thanks to Amazon Web Services (AWS) for sponsoring the booth and supporting early‑stage AI startups.
Testimonials & Client Reviews
Feedback from managers, professors, and clients
AbdurRahman ElGammal
Chairman @ Gammal Tech (Direct Manager)
“I had the pleasure of managing Mehyar during his internship. He submitted assignments faster than peers, was extremely helpful, and even found a rare-skill freelancer for us the next day — without being asked. Goes above and beyond.”
Mejri Houssem
Professor & Developer
“Rigorous, serious and diligent. Very good level of assimilation and ease in moving from theory to practical projects.”
Client (Upwork)
Fine-tune Qwen-72B on RunPod
“Amazing individual and very talented. Highly recommend working with a skilled freelancer like Mehyar.”
Client (Upwork)
Fine tune LLM Gemma3:4b
Mehyar is an amazing freelancer! From the beginning, I was impressed by his skills, knowledge, availability, and patience — he’s truly patient and always takes the time to explain everything with care. He genuinely wants to make sure you’re satisfied. I’ve worked with many freelancers here and elsewhere, but Mehyar stands out as exceptionally knowledgeable. The code he delivers is clean, well-structured, and modular. He’s incredibly smart and resourceful! I can’t express enough how amazed I am by working with him, and I truly look forward to more collaborations in the future!.”
Client (Upwork)
LLM-Powered Home Energy Management
The delivered LLM met the core requirements and its performance metrics were strong, which demonstrates high technical skill. Communication throughout the project was prompt, and Mehyar handled revisions efficiently, making this an excellent and professional experience. Thank you!”
Client (Upwork)
Expert Prompt Engineer for Chatbot
Delivered high-quality prompt flows for complex chatbot logic with zero revisions needed.
Contact & Booking
Let’s discuss research, AI projects, or collaboration opportunities