ADITYA GARG

Highly skilled software development professional bringing enormous talents for software design, development and integration. Offering advanced knowledge of in-demand programming languages. Background writing code and developing systems for internal used tools & applications. Complex problem-solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Detail-oriented, organized and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success.

During graduate and post graduate studies I have worked along with professors on various research projects:

• NeuroDesk (Feb 2022 - Present): as a part of my masters coursework and research I am working with the team of NeuroDesk to upgrade the cloud based application infrastructure to support GPU accelerated applications.
• Gene Therapy Detection (August 2020 - July 2021): as a part of my bachelor coursework and research I worked on using deep learning techniques such as RNN, U-net and CNN to detect and segment the effect of gene therapy in mouse brain cells dataset.
• Stock Prediction (Dec 2019 - June 2020): developed time series based neural network models such as LSTM to predict future stock market trends.
• Brain Tumor Detection (May 2019 - Oct 2019): researched and implemented various traditional machine learning techniques to develop brain tumor segmentation and classification models.

• Lal, Roshan, et al. "Brain tumor detection using PSO-FCM based segmentation." International Journal of Engineering and Advanced Technology 9.1 (2019): 4693-4696.
• Garg, Aditya, Aditya Bajaj, and Roshan Lal. "Brain Tumor Detection Using Image Processing Based on Anisotropic Filtration Techniques." Micro-Electronics and Telecommunication Engineering. Springer, Singapore, 2020. 365-373.
• Negi, Poorvika Singh, Aditya Garg, and Roshan Lal. "Intrusion detection and prevention using honeypot network for cloud security." 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence). IEEE, 2020.
• Stock Price Prediction using LSTM based Neural Network Project during the summer of 2020
• Negi, Poorvika Singh, Aditya Garg, and Roshan Lal. "Security-and privacy-preserving ML/DL paradigms for 5G communication technology in smart healthcare." Blockchain Applications for Healthcare Informatics. Academic Press, 2022. 243-265.
• As a part of my research project for the coursework working along with the team of NueroDesk on improving and upgrading their cloud based application architecture to support GPU accelerated workload.

• Swimming
• Reading
• Travelling
• Food Enthusiast
• Adventure Sports