Date to add
Understanding CNNs and AlexNet
Notes on convolution, learned feature hierarchies, and why AlexNet mattered to modern computer vision.
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Student builder // robotics // AI // computer science // computational biology
Building, debugging, competing, researching, and documenting progress.
current_status
Work in progress
A concise view of what is active now.
Building a personal portfolio systemACTIVE
Developing an FTC AI assistant conceptIN PROGRESS
Exploring AI, robotics, and computational biologyLEARNING
selected_work
Selected work
Projects and experiences viewed through what I built, tested, and learned.
ENTRY_01ENTRY_02ENTRY_03ENTRY_04
FTC Robotics
Leadership, software, autonomous systems, vision, localization, and control systems.
View detailsProjects
Technical work across robotics, AI, computational biology, and web development.
View detailsExperience
Programs, competitions, activities, and early research exploration.
View detailsAwards
Recognition across STEM, academics, robotics, and activities.
View detailsskills
Technical toolkit
Programming, engineering, analysis, and communication capabilities currently in use.
PythonJavaNext.jsTypeScriptTailwind CSSFTC SDKRobotics control systemsAI model integrationData analysisTechnical writing
learning_log
Ideas in progress
Short notes on topics I am studying and questions I want to understand better.
Date to add
AI in robotics debugging
Exploring how code, desired behavior, and robot telemetry can provide useful context to an AI debugging assistant.
Date to add
Computational biology and sequence alignment
Studying alignment algorithms and the ways computation can reveal patterns in biological sequences.