Jack Glen

Automation Developer and Computing Science graduate who thrives on turning complex problems into streamlined, intelligent solutions. My fascination with coding began early and evolved into a passion for automation, logic, and building systems that improve everyday workflows.

Living with mild diplegic cerebral palsy has given me a unique perspective on technology as an enabler. It has shaped my commitment to creating accessible, human-centred solutions that empower users and reduce friction in their lives.

I bring curiosity, resilience, and a problem-solving mindset to every challenge, and I'm driven to contribute to teams building purposeful, forward-thinking automation.

University Of Dundee: BSc(Hons) Computing Science(lower second class), Uipath Automation Developer Professional Training, SQA Highers: A,A,B,B,B, SQA National 5: A,A,A,B,B,B,C, The Emma MacLaren Memorial Prize for Achievement: School prize for success in the face of adversity, Lothian School Championship Champion Division 3: Small-bore rifle championship

• Accounts Payable Automation — Developed an end-to-end AP automation for a hotel chain , initially with OCR but upgrading toan AI-based invoice extraction. Automated data capture, verification routing, and payment initiation, reducing manual workload and processing delays.

• Medical Transportation Automation — Built a UiPath process to parse high-volume patient referrals, track updates, and automatically schedule or reschedule transport. Integrated calendar management to minimise admin effort and reduce errors.

• Bright Solid Solutions (Industrial Placement, Team Lead) — Led a team of four to deliver a secure web application visualising server status data with role-based access. Hosted on AWS and integrated with internal databases. Stack: AWS, SQL, PHP, HTML/CSS.

• Twitter Network & Influence Analysis — Created a Python-based tool that mapped follower relationships via the Twitter API and identified community clusters using the Louvain algorithm. Visualised network influence using a force-directed graph in D3.js. Stack: Python, Tweepy, D3.js.