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ZeyadKhalil

About

AI and machine learning engineer building systems that move from model to product.

I'm Zeyad Khalil, an MSc Applied Artificial Intelligence student at the University of Warwick WMG with a BSc in Computer Science from Oxford Brookes University. I work across machine learning, computer vision, LLM systems, data pipelines and full-stack software, with a strong preference for projects that solve real operational problems rather than stop at a notebook result.

My current dissertation is an industry-linked project with Dogtooth Technologies, where I'm building the AI system layer for an autonomous soft-fruit harvesting platform. The work focuses on collision detection and severity classification from onboard signals, not robot hardware.

Focus

What I build

Machine Learning & RAG Systems

Model training, evaluation, retrieval pipelines, semantic search, grounded assistants and explainability for real datasets.

LLM applications

PromptGuard, grounded assistants, retrieval pipelines, data loss prevention and practical AI safety controls.

Computer vision

Ripeness classification, domain-shift evaluation, transfer learning and robustness under changing lighting conditions.

Full-stack AI products

FastAPI backends, Next.js interfaces, SQLAlchemy data models, scheduled workers, dashboards and deployment workflows.

Education

Where I studied

2025 to 2026

MSc Applied Artificial Intelligence

University of Warwick WMG · Coventry

Focus: deep learning, computer vision, NLP, AI systems engineering, data-driven decision making, responsible AI and trustworthy AI. Industry-linked dissertation with Dogtooth Technologies on collision detection and severity classification for autonomous soft-fruit harvesting.

2021 to 2024

BSc Computer Science

Oxford Brookes University · Oxford

Focus: Python development, object-oriented programming, machine learning, database systems, software engineering, web development, autonomous agents, statistical modelling and applied computing.

2018 to 2021

BTEC Extended Diploma in Computing

Central Bedfordshire College · Dunstable

Foundations across web development (HTML, CSS), database management (SQL), systems analysis and design, and IT project management.

Experience

Work

September 2022 to April 2023

Freelance AI/ML Tutor and Web Developer

Independent · Remote / UK

  • Tutored students in Python, machine learning fundamentals, neural networks, PyTorch and scikit-learn with an emphasis on clear technical explanation.
  • Built and refined web projects for clients, combining frontend implementation with practical problem solving and stakeholder communication.
  • Developed the habit of translating complex technical ideas into language that non-specialists can act on.

May 2023 to November 2023

IT Specialist

TravelStone

  • Provided second-line technical support across software and hardware issues for staff and customer-facing systems.
  • Diagnosed application crashes and performance problems using Windows Event Viewer and structured log analysis, isolating root causes and applying fixes via patches, configuration changes or rollbacks.
  • Followed a disciplined workflow: reproduce, hypothesise, test and verify, then documented recurring issues to reduce repeat tickets.
  • Improved system reliability and user satisfaction through clear communication with non-technical staff.

April 2018 to August 2018

Receptionist

Training 4U Services Centre

  • Handled scheduling, visitor logs and a multi-line phone system in a busy front-of-house role.
  • Used Microsoft Excel, Word and Outlook for data entry, appointment tracking and internal communication, with a focus on accuracy and confidentiality.
  • Built durable habits around organisation, written communication and customer service that carry into technical work today.

Languages

Languages spoken

EN

English

IT

Italian

AR

Arabic

FR

French

Approach

How I work

I prefer clear systems that can be inspected, tested and improved. I'd rather ship a calibrated, debuggable model with honest evaluation than a more impressive-looking system I can't justify. For me, good AI engineering is about data quality, model behaviour, software reliability and product context at the same time.

I'm commercially minded and direct in how I work. I like original solutions, but I also care about the unglamorous parts: APIs, tests, deployment, monitoring, documentation and explaining trade-offs clearly. That is the standard I'm trying to show across this portfolio.

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