01
LLM systems
Agentic frameworks, reasoning, retrieval-augmented generation, vector search, fine-tuning, and knowledge graphs.
London, United Kingdom AI and Data
Building intelligent systems for complex, real-world data.
I am Mehdi Hosseini Moghadam, an AI specialist and data scientist working across LLM systems, data platforms, retrieval, speech technology, and digital twins.
AI Specialist
Data Scientist
02
Data intelligence
Real-time data platforms, entity extraction, stream processing, governance, and operational digital twins.
03
Applied research
Deep learning, reinforcement learning, NLP, geospatial modelling, speech technologies, and generative AI.
Selected experience
From research to production systems.
2025 -- Present
AI and Data Manager — Tigris Systems
Leading automation for maritime and logistics data: ETL pipelines, data governance, real-time streams, entity extraction, and an RLHF-based digital twin for maritime simulation.
2023 -- 2025
LLM/NLP Engineer, Team Lead — Veer
Built conversational multi-agent, voice-assistant, and search capabilities, using knowledge graphs and ontologies to improve discovery and search relevance.
2022 -- 2023
Machine Learning Engineer — Agilysis Ltd
Developed a traffic-management and air-quality digital twin using geospatial analysis, machine learning, and NLP.
2019 -- 2022
Co-Founder — Kouventa AI
Led R&D for conversational-AI products, including NLP, NLU, LLM, TTS, and ASR modules for chatbots and virtual assistants.
Research and learning
Making advanced AI easier to explore.
At the University of Oxford, I worked on an LLM-based genetic platform for protein design under the supervision of Sir Nigel Shadbolt. I also create accessible AI content on YouTube, with a focus on reinforcement learning and generative AI.
Visit my YouTube channelLet's connect