I am Asad Masood, a dedicated software engineer with an MSc in Advanced Computer Science from the University of Sheffield. I am currently a Research Software Engineer at the University of Leicester, where I lead informatics for UK-REACH, a large-scale respiratory study with over 24,000 participants, and I develop secure data pipelines and participant-facing web portals. I enjoy collaborating across disciplines to translate complex data into practical tools, from Django-based study websites with e-consent to ML-driven health recommendations. My aim is to advance healthcare and research through robust software engineering, data science, and user-centered design.…

Asad Masood

I am Asad Masood, a dedicated software engineer with an MSc in Advanced Computer Science from the University of Sheffield. I am currently a Research Software Engineer at the University of Leicester, where I lead informatics for UK-REACH, a large-scale respiratory study with over 24,000 participants, and I develop secure data pipelines and participant-facing web portals. I enjoy collaborating across disciplines to translate complex data into practical tools, from Django-based study websites with e-consent to ML-driven health recommendations. My aim is to advance healthcare and research through robust software engineering, data science, and user-centered design.…

Available to hire

I am Asad Masood, a dedicated software engineer with an MSc in Advanced Computer Science from the University of Sheffield. I am currently a Research Software Engineer at the University of Leicester, where I lead informatics for UK-REACH, a large-scale respiratory study with over 24,000 participants, and I develop secure data pipelines and participant-facing web portals.

I enjoy collaborating across disciplines to translate complex data into practical tools, from Django-based study websites with e-consent to ML-driven health recommendations. My aim is to advance healthcare and research through robust software engineering, data science, and user-centered design.

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Skills

Experience Level

Data Science
Expert
Python
Expert
TensorFlow
Expert
Data Visualization
Expert
Django
Expert
Keras
Expert
SQL
Expert
PyTorch
Expert
API
Expert
Android
Intermediate
Java
Intermediate
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Language

English
Fluent
Urdu
Fluent

Work Experience

Research Software Engineer at University of Leicester
June 1, 2024 - Present
Led informatics for UK-REACH, a research study on COVID-19 and healthcare worker attrition, managing data for 24K+ participants. Developed & maintained a Django-based study website and implemented e-consent for participant enrollment. Developed Python scripts using NumPy, Pandas, and SQL to extract and validate research data from databases used in multiple published research articles.
Research Assistant at University of Leicester
May 1, 2024 - September 26, 2025
Initiated the development of an Android app (P-STEP) to motivate 80+ patients with chronic health conditions to walk, achieving 50%+ engagement in trials. Built an LSTM-based deep learning model to predict optimal walking times based on environmental conditions and step count history, improving activity recommendations. Fostered cross-disciplinary partnership, collaborating with a team of over 20 members, to ensure the app’s efficacy in achieving health goals.
Production Engineer at Afiniti
August 1, 2021 - September 26, 2025
Expedited issue resolution within 15 minutes, supporting tier 2 teams for uninterrupted production flow. Conducted rapid troubleshooting of production incidents, leveraging SQL, Grafana and server analysis. Enhanced company revenue by understanding and catering to key clients like Virgin Media, BT and SKY.
Research Software Engineer at University of Leicester, UK
June 1, 2024 - Present
Led informatics for UK-REACH, a research study on COVID-19 and healthcare worker attrition, managing data for 24K+ participants. Developed and maintained a Django-based study website and implemented e-consent for participant enrollment. Built Python scripts using NumPy, Pandas, and SQL to extract and validate research data from databases used in multiple published research articles.
Research Assistant at University of Leicester, UK
May 1, 2024 - September 26, 2025
Initiated the development of an Android app (P-STEP) to motivate 80+ patients with chronic health conditions to walk, achieving 50%+ engagement in trials. Built an LSTM-based deep learning model to predict optimal walking times based on environmental conditions and step count history, improving activity recommendations. Fostered cross-disciplinary partnership, collaborating with a team of over 20 members, to ensure the app’s efficacy in achieving health goals.
Production Engineer at Afiniti
August 1, 2021 - September 26, 2025
Expedited issue resolution within 15 minutes, supporting tier 2 teams for uninterrupted production flow. Conducted rapid troubleshooting of production incidents, leveraging SQL, Grafana and server analysis. Enhanced company revenue by understanding and catering to key clients like Virgin Media, BT and SKY.

Education

MSc Advanced Computer Science at University of Sheffield
September 1, 2018 - March 1, 2020
BSc Computer Science at National University of Computer and Emerging Sciences, Lahore, Pakistan
August 1, 2013 - December 1, 2017
MSc Advanced Computer Science at University of Sheffield
September 1, 2018 - March 1, 2020
BSc Computer Science at National University of Computer and Emerging Sciences, Lahore
August 1, 2013 - December 1, 2017

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Education, Software & Internet, Professional Services, Government, Life Sciences
    paper P-STEP - Personalised Space Technology Exercise Platform

    P-STEP provides health guidance to people with long-term health conditions by providing air quality information on walking routes they undertake. The P-STEP app combines expert clinical and exercise advice – which takes into account a person’s long-term health condition. The app gathers data from satellites to provide users of the app with real-time information on the air quality and weather when walking outdoors.