Undergrad at Carnegie Mellon (CMU) School of Computer Science (SCS), varsity NCAA swimmer for CMU. Currently pursuing a Bachelors of Science in Computer Science, Concentrating in Machine Learning and studying Pre-Law
Scoring Member of CMU Varsity Swim Team: 2017 onwards, 2x NCAA B Cut Qualifier
Orientation Leader for Donner House and the School of Computer Science: 2019 onwards
36-218: Probability Theory for Computer Scientists
4.37 weighted and 3.94 unweighted GPA
Specialized in advanced mathematics, physics, computer science, and engineering
Completed AP Calculus BC, AP Calculus AB, AP Physics C Mechanics, AP Physics C Electricity and Magnetism, AP Computer Science, Research Science, and Advanced Topics in Mathematics, AP Economics, Advanced Topics in Mathematics II, Algorithm Design, and AP English: Language and Composition
Software Engineering Intern
Coming Summer 2019
Founder and Director
Started SuperPAC political organization with goal of working to improve education on election finance and research SuperPAC related research
Developed method for measuring location inside of buildings on Carnegie Mellon campuses using WiFi point metadata.
This allows for more accurate location measurement inside buildings where normal GPS is inaccurate under normal circumstances.
Former President, Former Vice-President: 2013-2017
Managing $12,000 in a diverse portfolio of investments
Increased fund's profit margin by 90%+ over the course of 3 years
Internship in the Personal Robotics Lab: Summer 2016
Worked on Shared Autonomy to improve Human Robot Interactions, worked to extract facial data from users to predict bite timing and used eye tracking data to find key points on objects where users focus and what users expect when interacting with robot and environment.
Water Polo & Swim Instructor, Mentor, Tutor, Lifeguard: Summer 2015
Instructed at-risk youth, teaching life skills through the sports of Swimming and Water Polo
Tutored students in reading, writing, and other language arts skills
Worked to end 2nd leading cause of accidental death in at-risk kids: drowning
20+ hours of practice per week
Scoring member of Carnegie Mellon Championship Team: 2018-2019
2x NCAA B Cut Qualifier in 1650 yard freestyle
24 hours of practice per week
WPIAL Champion (2016: 500 yd. Freestyle)
3-time WPIAL Runner-Up (2015: 500 yd. Freestyle, 2017: 500 yd. Freestyle & 200 yd IM)
5-time PIAA State Championship Qualifier: 4-time Finalist (2014-2017: 500 yd. Freestyle; 2016-2017 200 IM)
6-time WPIAL Qualifier: 5-time Finalist (2014-2017: 500 yd. Freestyle & 200 yd IM)
Four-Time Varsity Letterman
3-Time National NAQT Qualifier (2015-2017)
In my free time I like to work on fun side projects. I also participate in hackathons. If you are interested in them, I've listed the summaries for a few of them below. And if you would like to learn more, I've included some links you can go to.
For 15-213: Intro to Computer Systems' Malloc Lab, implemented fully functional memory allocator with highest memory utilization of all students in course.
For PennAppsXVIII, built Babble, the world's first and only chat platform that is able to be installed, setup, and used 100% offline. This platform has a wide variety of use cases such as use in communities with limited internet access like North Korea, Cuba, and Somalia. Additionally, this platform would be able to maintain communications in disaster situations where internet infrastructure is damaged or sabotaged. ex. Warzones, Natural Disasters, etc.
I built offline install using Android Beam over NFC. One of the main challenges was dealing with the way that Android Beam sends installable files. Debugging that was probably the most challenging aspect of the hack that I was entirely responsible for.
As part of 538's NFL ELO game prediction competition, improved upon the 538 NFL ELO prediction model by optimizing home field advantage across 50+ years of historically NFL games.
Calendar optimization tool for CMU students. Built a scheduling algorithm using probabilistic optimization and machine-learning to find optimal work schedule given a student’s course schedule, course load, and work habits
As part of team working on Tartanhacks 2018, built Gighub, a website that allows for complete concert experience from tickets to hotels to transport in fewer than 5 clicks
Developed method for measuring location inside of buildings on Carnegie Mellon campuses using WiFi point metadata. This allows for more accurate location measurement inside buildings where normal GPS is inaccurate under normal circumstances.
Project for potential startup. Developing unique method using advanced AI to embed product-placement-type ads into user-generated content. AVAncemos allows advertisers to show brand loyalty easily and efficiently without expensive ad campaigns. Particularly effective for Exposure advertising. Patent Pending. Checkout Our GitHub!!
Independent big data research project. Developed a unique Gentrification Index that quantifies gentrification in a geographical region. Allows for gentrification to be identified historically and potentially allows for gentrification to be identified as it occurs. Recognized by Allegheny County Executive Rich Fitzgerald, Pittsburgh Data Works, Pittsburgh Super-Computing Center, Carnegie Mellon School of Computer Science, and IBM Watson Research Lab. Checkout The Project Portfolio!!
Junior engineering project. Developed cost efficient reservoir cover to reduce water loss due to evaporation in drought-stricken and water-scarce areas. This solution costs one tenth of current comparable solutions. Achieved this by designing a self-assembling reservoir system with no moving parts or electronic components. Currently working to implement in California. Patent Pending. Checkout My Project Portfolio!! View latest manuscript for Peer Reviewed Journals
As part of Internship at Carnegie Mellon Robotics Institute: Personal Robotics Lab, programmed HERB (Home Exploring Robotic Butler) to complete YCB task in table cleaning. Used robotic planning algorithms to manipulate high degree of freedom robotic arm in complex and changing environment.
Developing an Android app that uses a device's GPS location to determine most efficient parking location. Previously worked on method for interfacing with ParkPGH app to enable users extended parking times and decrease parking rates in the City of Pittsburgh. Checkout The Project GitHub!!
Developed computationally efficient method for intelligent ranking of squares for N-Queens problem. This method allows for more efficient computation of single solution to N-Queens problem for significantly larger N. Additionally, created efficient algorithm to compute number of solutions given any N. Computed values for large N, upto N=19. Checkout My Project Portfolio!!
Independent research project. Determined ideal plasmid concentration for maximal bacterial genome transformation efficiency. Received Pennsylvania Junior Academy of Science Director’s Award for Excellence in Microbiological Research. Recognized by Bayer HealthCare Corporation for Medical Research and Innovation. Checkout My Project Portfolio!!