Engineering & Technology Innovation Management (ETIM) GSA Representative
- Acting as the voice of the ETIM cohort regarding issues affecting graduate students at Carnegie Mellon.
- As GSA Finance Contact, managed ETIM's GSA activity funds, planning events and activities.
Executive Finance Director
- Worked with project managers to make realistic calls within the team budget, review financial reports, and purchase robot parts.
- Managed accommodation accommodation for the Intelligent Ground Vehicle Competition, and procured sponsorships.
Computer Vision Team
- Developed lane detection powered by YOLOPv2, through PyTorch and OpenCV, developed an autonomous driving program.
- Merged Deep Learning and Classical CV outputs using ROS nodes, facilitating odometry & SLAM for enhanced navigation.
- Participated in the Intelligent Ground Vehicle Competition, pitting rover against competing schools through an obstacle course.
Deep Learning and Reinforcement Learning
This 6 week course went over neural network formulation, optimization, and regulation, focusing on a myriad of neural network structures and their applications, including the following:
- Convolutional Neural Networks
- Recurrent & LSTM Neural Networks
- Variational Autoencoders
- Generative Adversarial Networks
- Reinforcement Learning
Coursera - IBM Skills Network
Exploratory Data Analysis for Machine Learning
This course focused on the Data Analytic aspects of Machine Learning, including the following:
- SQL and NoSQL Databases
- Data Retrieval From CSV and JSON
- Data Cleaning and Transformation
- Exploratory Data Analysis and Presentation
- Estimation and Inference
- Hypothesis Testing
Coursera - IBM Skills Network
ENGS-2 | Cloud Computing and Security
Offered by the University of Toronto, this certification gave a breakdown in Cloud Computing, DDOS Protection, and Data Storage.
Faculty of Applied Science and Engineering at the University of Toronto