Experiences
Below are my research and professional experiences, where I focus on bridging the gap between abstract mathematical theory and scalable computational systems.
TL;DR
Research Intern (Chaos & Reservoir Computing)
Project: Image Encryption and Forecasting of a Hyperchaotic Financial Model Focus: Non-linear dynamics, RC models, and cryptographic robustness
C4GT Intern (Computer Vision)
Organization: IIIT Delhi — Hand Gesture Occlusion Research Project Duration: June 2025 – Aug 2025 Focus: 3D Point Clouds and GPU-accelerated pipelines
Outreachy Intern (Data Science)
Organization: Wikimedia Foundation Duration: May 2024 – Aug 2024 Focus: Data warehousing and quality evolution visualization
Research Intern (Medical Imaging)
Organization: CyPSi Laboratory Duration: Feb 2024 – Apr 2024 Focus: Deep Learning and Generative Augmentation
Research Experience
Reservoir Computing & Hyperchaotic Systems
Role: Research Intern Status: Under review at Springer – Multimedia Tools and Applications
- Developed an advanced image encryption scheme using RC models to enhance security and efficiency in transmitting visual data.
- Integrated chaos theory and fractional-order systems to improve encryption for real-time applications.
- Applied RC-generated chaotic sequences for diffusion, ensuring high unpredictability throughout encryption.
- Utilized a two-key system: the first key generates system parameters (rho, phi), while the second controls chaotic diffusion for enhanced randomness.
- Implemented pixel shuffling and bitwise XOR operations to scramble pixel values, followed by reshaping into the original image format.
- Validated encryption robustness against differential attacks using NPCR, UACI, and histogram variance metrics.
IIIT Delhi — Hand Gesture Occlusion Research Project
Role: C4GT Intern Duration: Jun 2025 – Aug 2025
- Built a scalable pipeline to extract 3D hand landmarks from RGB images and compare gestures using point cloud similarity metrics.
- Used MediaPipe for landmark detection, Open3D for point cloud generation/export, and PyTorch3D for computing Chamfer Distance.
- Enabled parallel GPU-accelerated processing for efficient computation on large gesture datasets.
- Visualized 3D hand landmarks and analyzed gesture similarity patterns using histograms and qualitative inspection.
CyPSi Laboratory
Role: Research Intern Duration: Feb 2024 – Apr 2024
- Developed a retinal image segmentation system using advanced deep learning techniques to support medical diagnostics.
- Implemented U-Net and Convolutional Neural Networks (CNNs) for high-precision segmentation of fundus images.
- Applied GAN-based data augmentation to improve model generalization and robustness.
Open Source Experience
Outreachy Intern — Wikimedia Foundation
Duration: May 2024 – Aug 2024
- Developed a data visualization tool for tracking the quality evolution of Wikipedia articles.
- Leveraged Wikimedia APIs, Wiki Quarry, and Toolforge with SSH access to manage data workflows in a remote server environment.
- Handled millions of data rows using advanced query optimization and data warehousing techniques to ensure scalable analysis.
- Conducted extensive pre-development research to align with Wikimedia standards, presenting outcomes at the Wikimedia Technology Summit 2024.