Ismail Hendryx

Developed 'Research Wizard' for AI-based document analysis, presentation, essay, and video reel automation with applications in robotic task planning and data processing. Developed front-end and back-end services utilizing open-source LLMs, FAISS, ONNX, Gemini, and OpenAI endpoints. Developed an E-commerce AI-enabled cross-listing platform utilizing RAG & Generative AI to increase sales for custom

Developed 'Research Wizard' for AI-based document analysis, presentation, essay, and video reel automation, with applications in robotic task planning and data processing. Also developed an E-commerce AI-enabled cross-listing platform utilizing RAG & Generative AI to increase sales for customers.

Contributed to risk-based pricing by ingesting, curating, and maintaining data sources on Databricks. Spearheaded a key project analyzing 6 million customer driver claims, predicting high & low risk claims to identify patterns linked to driver faults, directly implementing risk mitigation for claims worth over £50 million.

Contributed to risk-based pricing by ingesting, curating, and maintaining both new and existing data sources on Databricks. Spearheaded a key project, analyzing 6 million customer driver claims, predicting high & low risk claims to identify patterns linked to driver faults, directly implementing risk mitigation for claims worth over £50 million. Supported the script testing team, providing experti

Part of the AI/Data Engineering team, analyzing and curating data within the oil and energy sector, including building predictive models for oil vessel arrival times using advanced analytics on Azure’s cloud platform. Automated big data workflows and created pipelines that transformed & optimized AI analysis, also refining MLOPS processes.

Part of an AI/Data Engineering team, analyzing and curating data within the oil and energy sector, including building predictive models for oil vessel arrival times using advanced analytics on Azure’s cloud platform. Automated big data workflows & created pipelines that transformed & optimized AI analysis. Responsible for documentation and instructional videos on making AI/ML tools and processes a

Gained exposure to AI applications and business use cases of machine learning and cloud within a global bank. Worked with ML specialists & developers with hands-on experience with Google Cloud Platform for developing & hosting AI models. Incorporated Agile & DevSecOps practices for managing AI projects with iterative development & CI/CD of AI models.

Gained exposure to AI applications and business use cases of machine learning and cloud within a global bank. Worked with ML specialists and developers with hands-on experience with Google Cloud Platform for developing & hosting AI models, incorporating Agile & DevSecOps practices.

Grade: Distinction

Specialized in AI and Robotics, focusing on advanced control and perception algorithms. Developed and presented an award-nominated bio-inspired robotic gripper (GRASPI) for space debris at a 2025 London Robotics Conference.

Grade: First Class Hons

Studied Artificial Intelligence, gaining a strong foundation in core AI principles and applications. Achieved First Class Honours, demonstrating academic excellence in the field.

Grade: First Class Hons

Activities and societies: Awarded University of Kent Academic Excellence Scholarship; AI & Robotics Undergraduate of the Year Finalist.

Studied core principles of artificial intelligence, including machine learning, data analysis, and intelligent systems design. Achieved a First Class Honours degree and was recognized as an AI & Robotics Undergraduate of the Year Finalist.

Grade: Distinction

Activities and societies: Presented GRASPI at a London Robotics Conference to 200+ industry experts.

Developed and presented an award-nominated bio-inspired robotic gripper (GRASPI) for space debris at a 2025 London Robotics Conference. Showcased expertise in control and perception algorithms through this project, which was graded at 86%.