Sandeep Malviya

Developed key features for a Point of Sale system, ensuring integrity of transaction data logging and engineering modules to structure sales inventory for automated reporting and predictive stock analysis.

Developed an Android augmented reality application using Unity and Vuforia to overlay 3D models onto real-world images, exploring AR interaction concepts.

Created a business intelligence report for a social media client by analysing seven datasets, performing data cleaning and modelling, and presenting strategic recommendations to stakeholders.

Architected a high-throughput data pipeline for EEG/tDCS wearable sensor acquisition using BLE and MQTT and developed a cross-platform mobile interface for clinicians to visualize real-time neurological data.

Architected real-time data synchronization for a taxi dispatch system achieving 99.9% consistency and led Flutter frontend development integrating Google Maps APIs for live tracking and route optimisation.

Developed cross-platform FinTech mobile applications using Flutter and integrated ~25 third-party/internal APIs while leveraging Firebase Realtime Database for live transaction features.

Led a four-person team to design and build a real-time American Sign Language interpretation tool, developing and training a CNN that achieved 70% accuracy on a custom dataset.

Built cross-platform FinTech mobile applications with Flutter, integrated ~25 APIs to enable core financial functionality, and used Firebase Realtime Database to display live transaction data.

Grade: Distinction

Activities and societies: Green Consultants Programme; Exeter Leaders Award; Exeter Award

Completed an MSc in Data Science with Distinction, covering machine learning, statistical modelling, and research methodology with applied AI project work.

Grade: First Class Honours (7.84/10)

Earned a Bachelor of Engineering in Computer Science, graduating First Class Honours with distinction and foundational coursework in algorithms, data structures, and databases.