Chaitanya Khurana

WORK HISTORY

EDUCATION

ABOUT CHAITANYA KHURANA

I\'m a highly skilled engineer proficient in both Frontend and Backend development, with expertise in Python, YAML, and various languages. I specialize in optimizing system performance for a seamless user experience. As a Cloud Developer Intern at Celebal, I engineered a comprehensive Stock Inventory Management System using the MERN stack, achieving a remarkable 52% boost in system performance. During my FRT Internship at Microsoft, I monitored application and infrastructure performance, efficiently tackled infrastructure vulnerabilities using GitHub actions, and contributed to deploying static web apps on Microsoft Azure, pivotal in project management. As a Trainee at Software Technology Parks Of India, I designed file handling software in C, optimizing efficiency with a significant 70% reduction in processing time. I also provided user support and troubleshooting. In the realm of machine learning, I\'ve trained and fine-tuned regression and classification models, emphasizing optimization through rigorous experimentation and parameter tuning. A standout project includes the development of an AI Image Background Remover, featuring a custom U-Net Based model trained on the MS-COCO Dataset. This endeavor achieved an impressive efficiency score of 0.83 IoU. I complemented this with the creation of a Flask REST-API for seamless interactions and the utilization of pre-trained Detectron-2 models to extract objects from backgrounds effectively, resulting in high-quality images. I\'ve also made contributions to research by co-authoring a paper on \"Security and Privacy Protection in Digital Watermarking,\" presented at ICFIRTP 2022. My work involved an in-depth review of 40+ papers addressing digital watermarking challenges including perceptual transparency, payload, and robustness. My technical proficiencies encompass programming languages such as C++ and Python, adept database management using MySQL, Docker container orchestration, and a strong command of machine learning tools like Scikit-Learn and Numpy. I excel in version control with Git and GitHub, have proficiency in data analytics and exploratory data analysis through tools like Seaborn, Matplotlib, Pandas, D-Tale, and Excel. I am experienced in Linux (Ubuntu), deep learning using TensorFlow/Keras, and CI/CD practices involving Docker, GitHub Actions (Beginner), and Gitlab (Beginner).