Darrin Bright

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

Biography: My research interests lie at the intersection of representation learning and multimodal visual understanding. I'm particularly drawn to problems where neural networks need to learn from limited supervision, bridge different data modalities, or extract structured knowledge from visual data.

Currently, I'm exploring self-supervised learning for medical imaging, where I've been investigating how vector quantization and contrastive methods can learn meaningful representations from unlabeled data. I've worked on cross-modal learning, Explainable AI for clinical decision support, and semantic segmentation with transformer architectures. What connects these projects is a focus on making deep learning more data-efficient and interpretable.

Core Interests:

Medical Imaging
Representation Learning
Multimodal Visual Understanding

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: 8.83/10

September 2022 - Present

Research

FoodNet: Bridging RGB and 3D Understanding for Food Portion and Nutrition Estimation

Advisor: Dr. Kanchan Keisham | Manuscript in preparation

Developed a dual-encoder architecture combining ViT-B and ResNet-18 for RGB feature extraction with PointNet for 3D understanding.

Introduced an RGB-to-point cloud feature adapter using knowledge distillation, enabling cross-modal feature learning between 2D and 3D representations.

Achieved state-of-the-art results on MetaFood3D with 26.87% volume MAPE and 24.89% energy MAPE, outperforming previous best methods by 65% and strong cross-dataset generalization on SimpleFood45.

Explainable AI Framework for Kidney Pathology Classification from CT Scans

Advisor: Dr. Praveen Kumar | Manuscript near completion

Designed a dynamic weighted ensemble architecture combining MobileNetV2, ResNet-50 and EfficientNet-B1 for multi-class kidney disease classification on 12,446 CT images.

Implemented an explainability framework using Grad-CAM and LIME with medical-specific augmentations for clinical decision support.

Achieved 99.14% test accuracy across four diagnostic categories using focal loss with label smoothing.

Self-Supervised Medical Image Segmentation with Vector Quantization

Indian Institute of Technology, Jodhpur | Advised by Dr. Deepak Mishra | May 2025 - July 2025

Developed a hierarchical vector quantization framework that addresses limited labeled data in medical imaging by learning discrete representations from unlabeled images and using them as structured regu- larizers during segmentation fine-tuning

Designed three-stage training pipeline integrating VQ-VAE, SimCLR contrastive learning and segmenta- tion 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

Experience

Indian Institute of Technology, Jodhpur - Jodhpur, India

Research Intern

Developed multi-stage self-supervised learning framework with hierarchical Vector Quantization for medical image segmentation, achieving 79.76% Dice score on skin lesion 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

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

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

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 - Present

Skillset

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

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!