About Me
I’m Khashayar -- an AI engineer working on systems that keep learning after they’re deployed.
As Principal AI Engineer at Inframatic Engineering, I lead adaptive AI for compliance automation in critical infrastructure -- knowledge-graph retrieval, multi-agent architectures, and computer vision, built to run in production rather than in a notebook. Behind that sits a decade of software engineering and a habit of making research-grade ideas reliable enough to ship.
That practice is grounded in published work. I defended my doctoral thesis at the University of Hertfordshire in June 2026 -- NOVA, a framework for novelty detection and continual learning in human–robot interaction, validated on the ARI humanoid -- and I still supervise BSc and MSc students there. My work appears in IEEE TCDS, RO-MAN, ICSR and Sensors; I review for IEEE TCDS and co-organised SS03 at ICSR 2026.
If you’d like to get in touch about collaboration, speaking, or adaptive AI in real-world systems -- say hello.
Industry Experience
Leading the design and delivery of adaptive AI for compliance automation in critical infrastructure -- knowledge-graph retrieval, multi-agent architectures, and computer vision, running in production
Principal developer of the company's AI platform, building machine learning pipelines for natural language processing and recommendation
Led development of intelligent booking systems with ML-driven demand prediction
Managed AI-powered e-commerce platform with focus on personalisation and user experience
Developed computer vision solutions for industrial automation and quality control
Built mobile applications with integrated AI features for enhanced user interaction
Software Developer at Kaman Academy (2014--2015) and Atie Dade Pardaz (2013--2014); Volunteer Software Developer at the Mechatronic Research Lab, MRL (2011--2013), where the RoboCup journey began
Education
Thesis: Robot Adaptation to Unseen Environments: On-the-Fly Learning Using Novelty Detection and RL
Viva passed June 2026; award recommended subject to minor amendments
Supervisors: Dr. Abolfazl Zaraki, Prof. Farshid Amirabdollahian, and Dr. Frank Foerster
Funded PhD Studentship focusing on agentic AI and continual learning for adaptive robotics
Thesis: Predicting Next Customer Purchases with Recommender Systems
Distinction in machine learning and data science applications
First Class Honours with specialisation in robotics and embedded systems
Member of MRL Humanoid Kid Size and MRL At-Home Robot teams -- contributing to motion control, vision, world modeling, localization, AI, and embedded system design for RoboCup competitions
Research Interests: Continual Learning & Robotics
Selected Publications & Activities
Technical Skills
Research & Engineering Projects
Teaching & Academic Activities
Awards & Recognition
Contact
If you're interested in research collaboration, consulting, or simply want to connect, please reach out!
Based in: Hertfordshire, United Kingdom
Available for: Research collaborations, consulting, speaking engagements, and academic partnerships