Darrin Bright

Integrated Master of Technology in Software Engineering
Vellore Institute of Technology, Vellore

My research focuses on computer vision and deep learning for medical imaging. Currently, I'm exploring vision-language models for medical imaging in federated learning settings, as well as 3D deep learning approaches for subcellular structure analysis.

Core Interests:

  •   3D Vision
  •   Medical Imaging
  •   Multimodal Learning

Education

Vellore Institute of Technology - Vellore, India

Integrated Master of Technology in Software Engineering
School of Computer Science Engineering and Information Systems (SCORE)
Courses: Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Computer Networks, Data Structures and Algorithms, Database Management Systems, Operating Systems, Python Programming, Object Oriented Programming.
CGPA: 8.79/10
September 2022 - Present
vit

Publications

  1. PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
    Darrin Bright, Rakshith Raj, Kanchan Keisham
    Accepted, Conference on Vision and Intelligent Systems 2025
  2. Explainable Transfer Learning Ensemble with Dynamic Weighting for Kidney Disease Classification in CT Images
    Darrin Bright, Praveen Kumar
    Under review, Cogent Engineering

Research Experience

Indian Institute of Technology, Hyderabad - Hyderabad, India

Research Intern
Advisor: Dr. Krishna Mohan
  • Developing federated continual learning methods for vision-language models in medical image classification, addressing catastrophic forgetting across distributed clinical datasets.
  • January 2026 - Present
    IIT Hyderabad Logo

    Simon Fraser University - Vancouver, Canada

    Research Intern
    Advisor: Dr. Ghassan Hamarneh
  • Developing a 3D U-Net pipeline for automated detection of mitochondria-endoplasmic reticulum contact sites from 3D STED volumes.
  • Leveraging pySTED simulator to generate synthetic training data, augmenting limited annotations and enabling controlled experiments on imaging parameters.
  • December 2025 - Present
    SFU Logo

    Vellore Institute of Technology - Vellore, India

    Undergraduate Researcher
    PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
    Advisor: Dr. Kanchan Keisham
  • Developed PortionNet, a novel cross-modal knowledge distillation framework that allows RGB models to learn 3D geometric features from point clouds during training, eliminating depth sensor requirements at inference.
  • Designed a dual-mode training strategy with a lightweight RGB-to-Geometry Adapter that learns to generate pseudo-3D features for accurate geometric reasoning from a standard RGB image.
  • Achieved state-of-the-art performance on MetaFood3D and SimpleFood45 datasets, demonstrating effective generalization.
  • Explainable AI Framework for Kidney Pathology Classification from CT Scans
    Advisor: Dr. Praveen Kumar
  • Designed a dynamic weighted ensemble combining MobileNetV2, ResNet-50, and EfficientNet-B1 for multi-class kidney disease classification on 12,446 CT images across four diagnostic categories.
  • Implemented explainability framework using Grad-CAM and LIME with domain-specific augmentations to provide interpretable predictions for clinical decision support.
  • July 2025 - November 2025
    VIT Logo

    Indian Institute of Technology, Jodhpur - Jodhpur, India

    Research Intern
    Advisor: Dr. Deepak Mishra
    Self-Supervised Medical Image Segmentation with Vector Quantization
  • Developed a hierarchical vector quantization framework that addresses limited labeled data in medical imaging by learning discrete representations from unlabeled ISIC 2018 images and using them as structured regularizers during segmentation fine-tuning on the PH2 dataset.
  • Designed three-stage training pipeline integrating VQ-VAE, SimCLR contrastive learning and segmentation fine-tuning, with multi-layer quantization capturing features across semantic scales.
  • Achieved 79.76% Dice score with +1.38% consistent improvement across multiple runs, demonstrating the effectiveness of discrete representations as regularizers for medical imaging with limited labeled data.
  • Vector Quantization for Semantic Segmentation
  • Conducted 13-experiment ablation study on Pascal VOC 2012 dataset investigating vector quantization integration with Swin Transformer encoders, testing codebook configurations, fusion mechanisms and initialization strategies.
  • Achieved 74.61% Dice score with optimized vector quantization configuration on Pascal VOC 2012, demonstrating +7.34% improvement over baseline CNN and +3.91% over vanilla Swin Transformer, validating VQ effectiveness for semantic segmentation tasks.
  • May 2025 - July 2025
    IIT Jodhpur Logo

    Professional Experience

    Astute - Vellore, India

    Project Manager & Technical Lead - Intern
  • Developed an AI-powered SEO automation platform using Gemini-Flash that integrates keyword research, content optimization and technical auditing using SERP API and DataforSEO for data extraction and analysis.
  • Implemented website structure analysis with BeautifulSoup for HTML parsing and extraction of elements, creating automated solutions for identifying on-page optimization opportunities and generating technical SEO assets including sitemaps and robots.txt files.
  • Generative AI & ML Engineer - Intern
  • Built an SEO-optimized blog generator using Gemini-Flash that analyzes market trends by extracting high-potential Keywords from Google Ads Keyword Planner and Google Trends data, evaluating factors including search volume, interest over time, growth rate, CPC, and demographics.
  • Developed Social Spark model, an automated system for video advertisements and poster generation, combining Stable Diffusion for poster design and Gemini for tagline creation with optimized tagline placement.
  • July 2024 - April 2025
    Astute Logo

    Vicuna Kouture - Vellore, India

    AI Specialist - Intern
  • Experimented with various text-to-image diffusion models to generate unique t-shirt designs, achieving optimal results with Stable Diffusion.
  • Performed extensive prompt engineering to refine and identify the most effective prompts for generating visually appealing outputs.
  • Collaborated with the back-end team to integrate the AI model using FASTAPI, ensuring smooth deployment.
  • July 2024 - August 2024
    Vicuna Kouture Logo

    IEEE Robotics and Automation Society - Vellore, India

    Chairperson
  • Managing a chapter of over 500 students, organizing hackathons, workshops, and tech talks to inspire learning in robotics and automation.
  • Mentored a team of juniors by conducting sessions on ML and Generative AI frameworks like LangChain to enhance their skills and knowledge in the field of AI and automation.
  • December 2024 - December 2025
    RAS Logo

    Skillset


    python c++ python python c++ c++ c++

    c++ c++ c++ c++ c++ c++

    c++ c++ c++ C html css js

    Notable Achievements

    • Winners of Project 2039 Hackathon Vellore Institute of Technology, 2024
    • Winners of Alphaforge Ideathon Vellore Institute of Technology, 2024
    • Runners up of Biomimicry Innovation Challenge Vellore Institute of Technology, 2024
    • Runners up of Startup Demo Day Vellore Institute of Technology, 2025
    • Second Runners up of HackWar Hackathon Vellore Institute of Technology, 2025

    Extra-curricular

    National Service Scheme, NGO - Vellore, India

    Volunteer
    Engaged with students at government schools and conducted sessions on career opportunities
    orioles

    Becoming I Foundation, NGO - Vellore, India

    Volunteer
    Participated in outreach programs, visiting government schools to teach foundational science, math, and english
    orioles

    V-Care Club - Chennai, India

    Prefectorial Body Member
    Participated in club activities such as growing plants, organizing newspaper recycling initiatives
    orioles

    Contact me

    Email ID: darriebright@gmail.com
    My inbox is always open; glad to connect, discuss and collaborate. Could relate to work, volunteering or a casual talk!
    Feel free to send me an email ; will get back ASAP!

    Copyrights © Darrin Bright / Last update 2025