ORIE, Applied Mathematician, Developer, Entrepeneuer
Founder of Nevosense: 
Seek Discomfort. ⚡
August 2021 – Present
Cornell Tech
Class of 2022
Cornell University
Lester B. Knight Scholarship and Merit Scholarship.
August 2017 – May 2022
SUNY Geneseo
Class of 2021
Jan 2020 – Present
SUNY Geneseo
Lead my team to the creation of a startup through all aspects of a company including a variety of skills in areas such as business model creation, customer relations, financials, strategy, timeline and goals, product development, conflict solutions, overall daily operations and pitching the teams ideas.
May 2018 - Present
SUNY Geneseo
Managing administrative activities of the club. Leading and coaching club members in weekly meetings on various projects using Python, HTML, MATLAB, JavaScript, and more.
August 2018 - January 2019
SUNY GeneseoTaught class and administered quizzes in professor’s absence, held office hours and review sessions, and graded homework assignments, labs, and quizzes. Math 230 Programming And Math Problem Solving
May 2019 - In Progress
MITx
Probability - The Science of Uncertainty and Data. Certificate
Data Analysis in Social Science—Assessing Your Knowledge.
Fundamentals of Statistics.
Machine Learning with Python: from Linear Models to Deep Learning.
Capstone Exam in Statistics and Data Science.
January 2020 – May 2020
Department of Mathematics
Used Python to classify American Sign Language Images using a Convolutional Neural Network.
December 2018 – May 2020
Department of Mathematics
Animating The Model Of Harmonic Motion Using Html5, CSS, And JavaScript. Lead the development of an application used by professors and students to teach/learn differential equations at SUNY Geneseo.
January 2019 to May 2019
Department of Mathematics
Built the algorithms to compress an image using the JPEG2000 LeGall wavelet transform. Compared efficiency of the LeGall transform to Haar Wavelet transforms, and Daubechies (4 ,6) transforms.
February 2019
Department of Mathematics
February 2019 Mathematics research weekend run by Dr. Elizabeth Cherry from Rochester Institute of Technology
Jan 2020 - August 2020
Department of Mathematics
I oversaw all startup operations and finances. Completed the 2020 Hobart and William Smith's Summer Sandbox Startup Accelerator program which involved customer discovery, market research and segmentation, pitch deck creation and pitching, value proposition definition, and business plan creation using lean startup methods. Conducted market research consisting of over 70+ interviews with people who are blind, visually impaired, caregivers, and optometrists. I created the startup website as well as worked as the lead software architect/developer of Nevosense.
December 2019 - January 2020
SalTech
I designed, developed, and published my first app on Google Play for Android devices. I also made the application for iOS but did not publish on the app store. The application functionality includes taking or uploading a picture to be classified using Machine Learning and find poems based on the picture you took. I also created a web application that utilizes some APIs to work in conjunction with my mobile application. The entire application code is hosted on the cloud.
December 2019 - January 2020
SalTech
I designed, developed, and published my second app on Google Play. This application is a game. I also made the application for iOS but did not publish on app store. I made the application using unity and c#.
October 5-6, 2019
HackUpstate, Syracuse, NY
I built an app which helps visually impaired people identify events on posters using computer vision, and verbally add then to their Google Calendar. I utilized various Google Cloud services to detect text on posters and convert them to speech as well as to create my own mini Voice Assistant to schedule the events extracted from the poster using the Google Calendar API.
September 20-22, 2019
Big Red/Hacks Fall 2019 Cornell University, Ithaca, Ny
Hackathon hosted at Cornell University in which my project won a Best use of Google Cloud by Google award. I built an app which helps visually impaired people travers a building in search of a specific room. My project utilized various Google Cloud services to detect room numbers in a hallway and convert them to speech.
July 2019 - September 2019
United Nations Department Of Economic And Social Affairs
Contributed in collecting e-government data to be included in the UN E-Government Survey 2020
March 29-31, 2019
American Statistical Association (Asa) School Of Mathematical Sciences, Rochester Institute Of Technology
Data Science competition hosted at Rochester Institute of Technology. A data set sponsored by an anonymous company was distributed and analyzed over the course of a weekend. My team and I mainly used Python/Pandas for our analysis.
April 6-7, 2019
Hackupstate, Syracuse, NY
I developed the server-side code for my teams application and utilized a sponsoring company’s API. The program I built using Python/Flask contributed to our applications success at the competition.
New York State Business Plan Competition (NYBPC)
Summer 2020
Cornell University Big Red/Hacks
Fall 2019
Rochester Institute of Technology
Spring 2019
HackUpstate Hackathon
Spring 2019
HackUpstate Hackathon
Spring 2019
Used Python to classify American Sign Language Images using a Convolutional Neural Network.
Animating The Model Of Harmonic Motion Using Html5, CSS, And JavaScript. Lead the development of an application used by professors and students to teach/learn differential equations at SUNY Geneseo.
I designed, developed, and published my first app on Google Play for Android devices. I also made the application for iOS but did not publish on the app store. The application functionality includes taking or uploading a picture to be classified using Machine Learning and find poems based on the picture you took. I also created a web application that utilizes some APIs to work in conjunction with my mobile application. The entire application code is hosted on the cloud.
I designed, developed, and published my second app on Google Play. This application is a game. I also made the application for iOS but did not publish on app store. I made the application using unity and c#.
I built an app which helps visually impaired people identify events on posters using computer vision, and verbally add then to their Google Calendar. I utilized various Google Cloud services to detect text on posters and convert them to speech as well as to create my own mini Voice Assistant to schedule the events extracted from the poster using the Google Calendar API.
Hackathon hosted at Cornell University in which my project won a Best use of Google Cloud by Google award. I built an app which helps visually impaired people travers a building in search of a specific room. My project utilized various Google Cloud services to detect room numbers in a hallway and convert them to speech.
Try to beat my high score :)
| Name | Score |
|---|---|
| Sal | 32 |
| Maria | 12 |
What's Up Programming Club
