Chief AI Scientist | Full-Stack AI/Software Engineer | AI Researcher | AI Consultant
Hello! 👋 I'm Mehdi, an AI researcher and full-stack software engineer with over 15 years of experience in machine learning and natural language processing. I help companies and startups operationalize AI/LLM applications, from prototyping to production deployment.
- AI researcher and full-stack engineer specializing in end-to-end AI/ML systems
- Focused on operationalizing LLMs, RAG systems, and AI agents in production
- Currently working on:
- Co-founder / CTO, OncillaAI (Sep 2025 - Present)
- Co-founder / CTO, OscrAI (Oct 2023 – Sep 2025)
- Co-founder / CTO, TransformAI Studio (Oct 2023 – Sep 2025)
- Staff Machine Learning Engineer / AI Researcher, Underdog Fantasy (Mar 2023 – Oct 2023)
- Research Scientist / Tech Lead, Workhuman (Mar 2022 – Mar 2023)
- Lead Data Scientist, Wells Fargo (Jun 2020 – Mar 2022)
- Assistant Professor (Tenure-track), Georgia Southern University (Aug 2017 – May 2020)
- Languages: Python, JavaScript, SQL, Java, SPARQL
- NLP & AI: Large Language Models, RAG, PyTorch, TensorFlow, HuggingFace, SpaCy, scikit-learn, NLTK
- Frameworks & Tooling: LlamaIndex, LangChain, Haystack, Qdrant, Vector Databases, Argilla, Cleanlab
- Web & Semantic Web: React, D3.js, Redux, Git, RDF/S, Knowledge Graphs, Virtuoso
- Databases: PostgreSQL, MySQL, BigQuery, MongoDB
- PhD in Computer Science, University of Georgia (Aug 2010 – Jun 2016)
- BrandPulse – AI-powered brand intelligence and market analysis platform
- FlashVU – AI Data Analyst for marketting agencies
- Oncilla AI – Advanced AI solutions for local businesses
- A Practical Approach to Retrieval Augmented Generation (RAG) Systems – Comprehensive guide to RAG implementation and best practices
- Machine Learning Interview – Practice Questions from Experts – Practice questions and tips for ML interviews
- Newsletter: MLnotes – Bite-sized content on ML/AI careers, GenAI, agents, RAG, and industry use cases
- Blog: Visdecode – Data visualization, ML concepts, and applied AI
- YouTube: AI / ML / LLM Content – Tutorials and insights on Generative AI, LLMs, and RAG systems