First Class BSc (Hons) Applied Computing graduate based in the UK. Specializing in high-end full-stack development, ML pipelines, and cloud-connected IoT architectures. From C++ hardware telemetry to Node.js backend services.
First Class Honours from the University of Huddersfield. Modules: Data-Driven AI (90%), Software Arch (86%).
Grade A Final Year Project. Full-stack IoT safety platform connecting ESP32 to Node.js & MySQL.
Unsway Online. ML pipelines, data processing and AI logic automation workflows.
Pursuing AWS Practitioner. Certified in Anaconda Python ML and Microsoft Security Essentials.
Full-stack client-server architecture receiving live sensor streams from ESP32 microcontrollers. Features JWT authenticated endpoints, real-time anomaly detection, secure photo verification with Multer, and automated database cron lifecycles.
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A machine learning image classification model built to analyze and predict correct handwashing protocols using Python data science libraries.
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A predictive analytics model utilizing historical booking data to forecast cancellation probabilities, aiding in revenue optimization strategies.
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Cloud-synced telemetry hub integrating environmental sensors and PIR motion detection. Written in embedded C++ for microsecond polling and instant cloud alerts.
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Motor-driver controlled dual H-bridge robotic vehicle pairing serial Bluetooth packets with custom responsive Android controls.
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A diverse collection of Python scripts, automation tools, and algorithmic solutions demonstrating clean code principles and core software logic.
Inspect codeContributed to cloud-based ML workflows and data processing challenges. Awarded a Letter of Recommendation for technical impact.
Promoted to Team Lead to coordinate fast-paced international event operations, task allocation, and ticketing logistics under immense pressure.
Active student member contributing to University of Huddersfield Cyber Security Society initiatives and networking protocols.
First Class Honours.
Data-Driven AI (90%), Software Architecture (86%), Large-Scale Engineering (78%).
Merit.
Distinctions in Computing Research Project and User Experience & Interface Design.