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 am working on the Mitochondria-ER contact site detection in 3D STED microscopy.

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: 8.81/10
September 2022 - Present
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Publications

  1. PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
    Darrin Bright, Rakshith Raj, Kanchan Keisham
    Accepted, 11th Annual Conference on Vision and Intelligent Systems 2025
    [Paper] [Code]

Research Experience

Indian Institute of Technology, Kharagpur - Kharagpur, India

Research Intern
Advisor: Dr. Debanjan Das
  • Developing GraphUNet, a graph-augmented U-Net for cuffless blood pressure estimation, integrating beat-level morphological graph representations with multichannel ECG and PPG waveform modelling.
    • May 2026 - Present
    IIT Kharagpur Logo

    Indian Institute of Technology, Hyderabad - Hyderabad, India

    Research Intern
    Advisor: Dr. Krishna Mohan
  • Developing a federated continual learning framework for medical image classification in which clients generate privacy-preserving synthetic samples for replay, mitigating catastrophic forgetting under non-IID, privacy-constrained aggregation.
    • January 2026 - Present
    IIT Hyderabad Logo

    Simon Fraser University - Vancouver, Canada

    Research Intern
    Advisor: Dr. Ghassan Hamarneh
  • Developing a deep learning pipeline for automated detection of mitochondria–endoplasmic reticulum contact sites in STED microscopy volumes.
  • Generating training data from both real STED acquisitions and a synthetic pipeline that renders parametric organelle masks into realistic STED-like images via the pySTED simulator.
    • December 2025 - Present
    SFU Logo

    Vellore Institute of Technology - Vellore, India

    Undergraduate Researcher
    SPHINX-Net: A Lightweight Histology-Aware Framework for OSCC Detection
    Advisor: Dr. Bharanidharan N
  • Developed SPHINX-Net, a lightweight hybrid framework with histology-aware multi-view contrastive pretraining, enabling strong patch-level OSCC detection.
  • Designed a spectral-aware recalibration block that reweights channels by frequency-domain energy to target the nuclear-texture irregularity central to tumour grading.
  • Introduced a prototype-graph head that resolves ambiguous patches through mini-batch graph context while enforcing compact class geometry, without whole-slide-image graphs.
    • 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.
    • July 2025 – June 2026
    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, a +1.38% consistent improvement over baseline without VQ across multiple runs.
    • 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
  • Led 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 June 2026