Mar 2024 – May 2025 · 1 yr 2 mos · Manchester, England, United Kingdom · Hybrid

Jun 2022 – Mar 2024 · 1 yr 9 mos · Manchester, England, United Kingdom · Hybrid

• Designing, implementing, and engineering solutions for national/global clients.
• Data engineering, cloud engineering and Cloud Architecture.

Oct 2021 – Present · 4 yrs 5 mos · Remote

• Building a virtual community aimed at all things cloud, code, data and tech.

Sep 2019 – Jul 2021 · 1 yr 10 mos · Bradford, England, United Kingdom

• Focus: Particle Engineering · Process Modelling · Experimental Data Analysis
• Conducted comparative process research on sulphur prilling vs. granulation to determine optimal finishing routes, integrating particle size distribution data, morphology, and strength metrics for process selection.
• Designed and executed experimental procedures using TGA, DSC, SEM, and Sieve Analysis to capture multi-dimensional datasets on thermal behaviour and mechanical integrity of sulphur particulates.
• Applied statistical and data-engineering methods (Python, Excel macros, and data visualization tools) to clean, transform, and interpret results, producing process-optimisation insights and trend models.
• Developed structured data pipelines for lab instrumentation outputs, improving repeatability and traceability of experiments — an early application of data engineering in research workflows.
• Collaborated with academics and industry professionals to convert findings into a peer-reviewed publication and international conference poster.
• Achievements:
• Published in International Journal of Particulate Science and Technology.
• Presented research “Sulphur Finishing Process: Prilling vs. Granulation” at the 9th International Granulation Workshop, Nestlé Research, Lausanne.
• Secured £2,000+ in funding for Gold Open Access publication, increasing visibility and citation impact.