Professional Experience

Developed real-time object detection systems using PyTorch and TensorFlow

Implemented 3D reconstruction algorithms for spatial mapping applications

Optimized computer vision algorithms for edge devices, improving inference speed by 40%

Researched neural compression techniques for texture and image data

Implemented and benchmarked state-of-the-art compression algorithms

Architected and developed end-to-end web applications with React and Node.js

Implemented computer vision solutions for product recognition and inventory management

Containerized applications using Docker for consistent deployment across environments

Led development of GPU-accelerated image processing pipelines for content moderation

Optimized machine learning models for production deployment

Implemented neural texture compression algorithms using PyTorch with CUDA optimization

Experimented with distributed data parallel (DDP) for training large models

Set up and managed GPU environments for efficient model training

Benchmarked compression performance against traditional methods

Explored applications of neural compression for video and image data

Conducted research on neural network architectures for image processing

Implemented and evaluated various compression algorithms

Developed expertise in PyTorch and TensorFlow frameworks

Completed coursework in advanced algorithms, machine learning, and computer vision

Focused on cutting-edge research in neural compression techniques

Gained strong foundation in algorithms, data structures, and software engineering

Completed projects in computer graphics and image processing

Developed skills in C++, Python, and Java programming languages

Participated in machine learning and computer vision coursework