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Work, awards, research

3 roles · 1 paper

Experience

Software and data roles in Mauritius, a scholarship that moved the work to the UK, and one paper that put a deep-learning model into the hands of farmers.

Roles

  1. SEPT 2025 - CURRENT

    Data Engineer - AI & software engineering

    Neptune North

    • Design and develop AI-powered solutions to support complex business and technology workflows.
    • Build robust approaches for evaluating the quality, reliability, and traceability of AI-generated outputs.
    • Develop supporting data and technology capabilities while advising on where AI can deliver meaningful business value.
  2. SEPT 2021 - APR 2022

    Associate Software Developer

    Dayforce (formerly Ceridian Mauritius)

    • Training on C# and Asp.net received prior to immersion into company
    • Worked on coding automation tests for DayForce payroll system
    • Selenium, SpecFlow and FitNesse tools were used to execute test cases
    • Azure DevOps was used as Project Management tool
  3. JUN 2019 - JUL 2019

    Web Master Intern

    Proximity BBDO Indian Ocean

    • Worked collaboratively with web mastering team
    • Web pages for specific companies were created and populated based on company requirements
    • CMS tools that were used are SiteCore and Umbraco
    • Jira tool was used as Project Management tool

Awards

Award

Google DeepMind Scholarship 2023-2024

Recipient of the fully funded Google DeepMind Scholarship for the MSc Artificial Intelligence at Queen Mary University of London.

“The DeepMind Scholarship means all to me. Without it, I would never have been able to experience studying abroad in the UK at such a prestigious university. The scholarship represents hope for academic learners like me who wish to pursue further studies. Getting this scholarship is inspiring considering that I am from Mauritius, a small African island in the Indian Ocean and this recognition truly humbles me.”

Publications

International Conference for Advancement in Technology (ICONAT) 2022

A Mobile Application for Fruit Fly Identification using Deep Transfer Learning: A Case Study for Mauritius

This paper describes a fruit fly identification system using Deep Learning. The system is deployed on a mobile application. The main usage of such application is to identify and counteract against fruit flies that cause harm to agriculture and the economy.