Hello, I'm

Divyan.

A full-stack developer and medical doctor leveraging clinical insights and technical skill to craft cutting-edge digital tools that drive impactful advancements in healthcare.

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About Me

I'm Divyan, a full-stack developer (and medical doctor) based in London. With 6+ years of experience as a developer and 5+ years as a medical doctor, I bring a unique dual perspective to healthcare technology.

I hold an MBChB from the University of Cape Town (2019). Currently, I am completing an MSc in Computer Science (speciality in AI). My completed coursework includes Algorithms & Data Structures, Computer and Mobile Networks, Computer Architecture and OS, Advanced Programming with Python, Applied AI, AI and Machine Learning, Software Engineering, Research Methods, and Big Data Analytics.

My passion lies in crafting user-centric design and delivering efficient solutions that deliver tangible clinical impact. I am dedicated to developing high-quality tools that improve patient outcomes, reduce healthcare worker burnout, and foster a more equitable healthcare landscape.

As a medical doctor and software developer, my approach involves championing technological innovations that enhance patient care while critically evaluating their integration with traditional medical practices.

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Technologies I Work With

Here are some of the tools and technologies I use to bring ideas to life:

Flutter logo

Flutter/Dart

Developing cross-platform mobile applications.

Java

Building robust and scalable applications.

Python

Creating data-driven solutions and machine learning models.

HTML

Creating web pages and defining their structure and content

CSS3

Styling and designing responsive user interfaces.

JavaScript

Adding interactivity and dynamic functionality to web applications.

Google Cloud Platform

Leveraging cloud services for scalable solutions.

Cloud Firestore

A flexible, scalable NoSQL cloud database for mobile, web, and server development.

Dialogflow

Creating conversational AI and chatbots.

GCP Vision API

Applying machine learning to images for analysis and insights.

TensorFlow

Building and deploying machine learning models.

Keras

Simplifying deep learning model development.

My Latest Work

MACH: Multilingual AI Chatbot screenshot

MACH

Multilingual AI Chatbot providing information on HIV

A cross-platform app aiming to democratize HIV knowledge, making it readily available, understandable, and approachable for everyone, regardless of their background, language, or comfort level with traditional health services. This proactive approach to education is vital for prevention, early detection, and ultimately, reducing the impact of HIV on public health.

Developed with Flutter for cross-platform compatibility and powered by Google Cloud Platform and Dialogflow.

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Project Title Two screenshot

Ambubook

Online Emergency Transport Booking Platform

A web-based platform facilitating emergency transport coordination between doctors and local EMS stations. It supports the submission of comprehensive patient data, including vital signs, diagnosis, transport category, and specific needs, to optimize vehicle allocation and dispatch timing. The system also incorporates automated progress tracking and notification features.

Developed with Flutter and powered by Google Cloud Platform and CloudFirestore.

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Project Title Four screenshot

Sugar-AI

AI-based glucose tracking record

A Flutter application that enables users to capture a photo of a Glucometer reading with their mobile device and utilizes Google's Vision API to extract the reading as text for recording. Originally designed to serve as a digital log for patients to track their daily glucose levels.

Developed with Flutter and powered by Google Cloud Platform and Cloud Vision API.

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Project Title Three screenshot

GSH BE Referral App

An online referral app designed for the Groote Schuur Hospital Breast and Endocine Surgery Clinic

Enables doctors from remote clinics and hospitals to schedule patients for specialized breast scans (for suspected cancer) and request surgical opinions from expert breast surgeons. Built as a cross-platform mobile application (Android and iOS) using Google Flutter and Firebase, and published on the Google Play Store.

Developed with Flutter and powered by Google Cloud Platform, Cloud FireStore and JotForm.

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Project Title Four screenshot

Project Baobab

A non-profit initiative bringing low-cost mobile solutions to the South African Healthcare Space

Project Baobab is a pioneering initiative aimed at closing the gap between technology and healthcare. Our mission is to equip forward-thinking healthcare professionals with the skills and tools necessary to turn their innovative concepts into meaningful digital solutions. We believe technology holds the potential to transform patient care and enhance community health, and we are dedicated to ensuring this transformation is both accessible and affordable. .

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Project Title Four screenshot

Jim-e

A cross-platform mobile application designed to assist doctors in managing patient care within a hospital setting

This cross-platform mobile application is designed to assist doctors in efficiently managing patient care within hospital settings. It enables real-time tracking of patient locations across wards, diagnostic areas, and operating rooms, providing quick access to critical information. In addition, the app allows doctors to create and manage personalized to-do lists for each admitted patient, supporting task organization and improving communication.

Developed with Flutter and powered by Google Cloud Platform and Cloud Firestore.

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Let's Connect

Got a project in mind or looking to collaborate? I'd love to hear from you!