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Taha Bouhsine

Research & experience

contact@tahabouhsine.com

Experience

September 2025 - Present · San Francisco, CA

Research Scientist/Co-Founder

Azetta.ai

R&D

  • Researching physics-inspired architectures for interpretable neural networks
  • Developing deep learning models with physical constraints for inherent interpretability
  • Advancing the theoretical foundations of Neural-Matter Networks and safe AI

Products

  • CosmaDB: A physics-inspired vector database for high-dimensional data
  • OmniEm: Multilingual embedding models
  • Periodica: Continuous explainability and monitoring platform for AI observability

November 2024 - September 2025 · San Francisco, CA

Research Scientist/C.E.O

MLNomads L.L.C

R&D

  • Pre-Training next generation of white box neural networks architecture using Neural-Matter Networks
  • Pre-training and Fine-Tuning deep learning models using SimO2 and AFCL frameworks
  • Building Security pipelines to Audit the model weights to detect potential vulnerabilities

Tech

  • bashnota: Building next generation platform for building and training AI System for modern non-linear workflow (Jupyter Notebooks Alternative)
  • AtomicVDB: a Vector Database built on top of jax
  • LocalAgents.ts: a typescript library for building LLM agents on your browser

September 2023–December 2024 · Glassboro, NJ

Lecturer / Adjunct Faculty

Rowan University - College of Science and Mathematics

  • Teaching 300-level course in Cyber Security
  • Developing curriculum and course materials
  • Mentoring students in computer science and cybersecurity

January 2023–December 2024 · Glassboro, NJ

Machine Learning Graduate Research Assistant

Henry M.Rowan College of Engineering / Federal Aviation Administration

  • Developed a multimodal system for in-flight atmospheric visibility estimation (collaboration with Rowan University and US Federal Aviation Administration)
  • Specialized in Multimodal Deep Learning techniques and applications
  • Utilized X-Plane to create a comprehensive dataset for in-flight visibility estimation

February 2022–July 2022 · Glassboro, NJ

Machine Learning Engineer Intern

Henry M.Rowan College of Engineering / Federal Aviation Administration

  • Developed an atmospheric visibility estimation system using RGB image-based approaches
  • Led the project from problem framing and in-depth research to dataset curation, model development, training, and evaluation

February 2022–July 2022 · Agadir, Morocco

Satellite Imagery Machine Learning Engineer Intern

IRF-SIC Laboratory

  • Responsible for problem framing, model structuring, and implementation
  • Developed an AI-based system for change detection in Argania forests using satellite imagery

July 2016–Present · Agadir, Morocco

Software Engineer

Freelancer / Consultant

  • Full Stack Web Development services for various clients
  • Android application development and deployment
  • AI Engineering and machine learning solutions
  • Technical consulting and project management

Papers and research writing