Hello! I'm Daniel 😄
I'm actively looking for internship opportunities in robotics and software engineering for Summer 2025. I have 5 years of experience building machine learning pipelines and large-scale commercial software.
As a Master's student in Computer Science at the University of Pennsylvania, I am taking CIS 5000: Software Foundations, CIS 5800: Machine Perception, and CIS 7000: Neural Scene Rendering. I am also a Teaching Assistant for CIS 4190/5190: Applied Machine Learning, with my main responsibilities being developing recitation worksheets, grading, and holding office hours to answer student questions.
My undergraduate thesis analayzing the vision model DeepLabV3+ on urban scenes of Bandung, Indonesia, was accepted and presented in the 2022 IEEE International Conference on Data and Software Engineering (ICoDSE).
Please reach out to me through email realdanielalexander(at)gmail(dot)com
Projects
• Captured and annotated a novel dataset in Bandung, Indonesia.
• Modeled a neural network pipeline based on the DeepLabV3+ and ResNet architecture
• Performed quantitative and qualitative analysis on the prediction results
Project Page: https://realdanielalexander.github.io/bandung-urban-semantic-segmentation/
• Captured video data of a classroom scene at the University of Pennsylvania and fed the data through the Gaussian Splatting pipeline
• Converted the pictures into COLMAP representation to extract camera intrinsics and extrinsics
• Modeled and trained an MLP model over the converted data
• Designed 3D reconstruction of the University of Pennsylvania logo from 5 pictures using Bundle Adjustment and LoFTR features
• Created an algorithm to filter common points from the LoFTR features returned from 5 pictures
• Trained and tested Pytorch Bundle Adjustment module to compute loss and reprojection function
A mobile app that utilizes machine learning to classify and detect ingredients from user images, developed as part of Bangkit Academy final project
• Selected as the best Bangkit Academy final project from Bandung cohort
• Built and trained an object detection model using Tensorflow
• Deployed the machine learning model on Google Cloud Platform using Flask
• Developed the mobile app using Flutter, utilizing API calls to communicate with the server
Experience
[Researcher] Modular Robotics Lab at the University of Pennsylvania
2024[Researcher] Computer Graphics Lab at the University of Pennsylvania
2024[Teaching Assistant] CIS 4190/5190 Applied Machine Learning at the University of Pennsylvania
2022[Software Engineer] Shopee
2021[Software Engineer] Systeric
2020[Software Engineer] Roketin