Arya Boudaie

Managed and developed for a team of 8 scientists and developers for the UC San Francisco Quantitative Biosciences Institute’s hackathon. Developed a Flask app that allows users to enter a protein sequence, and then uses machine learning to generate graphs of predicted peptides' spectra, removing the time-consuming need to generate reference data. Worked to bridge the gap between scientists and developers, create a list of requirements for the project, and assign them to team members. Developed… Show more

Managed and developed for a team of 8 scientists and developers for the UC San Francisco Quantitative Biosciences Institute’s hackathon. Developed a Flask app that allows users to enter a protein sequence, and then uses machine learning to generate graphs of predicted peptides' spectra, removing the time-consuming need to generate reference data. Worked to bridge the gap between scientists and developers, create a list of requirements for the project, and assign them to team members. Developed the backend Flask application which interfaces with the machine learning model and developed the front-end which creates interactive graphs as well as downloadable files for scientists to analyze. The final product can be used to generate spectra library for any available organisms’ whole protein library. This spectra library can then be used as a reference library to do sophisticated mass spectroscopy data analysis. Having this reference library is a significant contribution in the field as it reduces having to run additional experiments to infer spectra, cutting down cost (~$3000/experiment) and time (~9hrs/experiment). Won first place at the event, judged by a panel of professors and industry experts.

Code here: https://github.com/misingnoglic/qbi_mass_spectrometry
Presentation here: https://docs.google.com/presentation/d/17TRaUvE4mK7D0b4Vhk5TQQrgMYXrxbx80U_s4TEl7ro/edit#slide=id.g44aca8a55f_3_8

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Compresses bmp files into a compressed format using JPEG algorithm, and allows for their viewing. More documentation on github link - good code sample for my Python abilities (850 LOC).

Semester project for Game Theory course, implementation of a graph algorithm to allocate fair distribution of cabs for a ride sharing system (e.g. UberPool).

Final project for Music Programming class - created an algorithm which will improvise on a set of bass notes intelligently - More info in project readme

Allows users to snapchat images to a user and have it automatically post to their tumblr. See it at work at auto-snapr.tumblr.com

I made a django app that when given your Brandeis username and password it delivers how many meals and points you have left that week. I then made a pebble app that accesses this server and displays on the watch the data, for easy access.

Website (created in Python/Django) that allows people to find others with similar interests to sit next to on flights. This is accomplished by having people create profiles, add interests, and then query their flight (using the Amadeus API) in order to see others going on the same flight and their interests. My responsibilities were mostly on the Django/backend side (creating users, models, and views to communicate with the templates). Screenshots and code:… Show more

Website (created in Python/Django) that allows people to find others with similar interests to sit next to on flights. This is accomplished by having people create profiles, add interests, and then query their flight (using the Amadeus API) in order to see others going on the same flight and their interests. My responsibilities were mostly on the Django/backend side (creating users, models, and views to communicate with the templates). Screenshots and code: https://github.com/misingnoglic/plane_match Show less

Clayr is an app developed at PennApps 2014 to take medical lab test results and make them comprehensible for the average person. My responsibilities were in the backend Django server, receiving the photo from the android phone and running OCR on it to return a JSON document of all the results, along with metadata about said results. The code can be found here: https://github.com/misingnoglic/clayr-backend

Won 3rd place as best Microsoft App

First Django Project, connected to Happy Herbivore sales on DPD and displays them in a weekly graph

Using 2 line rv elements provided by NASA to visualize satellites around the Earth, using Visual Python.

TweetPD monitors municipal twitter accounts - police, fire, 911 dispatch - and lets you know if there's an emergency in your area. Rather than having to check Twitter to keep informed, simply wait for TweetPD to notify you via text message.

Built on Flask, Bootstrap, Twilio, and Lob.

McHacks 2014 project - Allows users to text their friends anonymous compliments. Sending a phone number to the Twilio phone would send a random compliment to the number sent. Built on a flask server with the Twilio texting API.

MHacks 2014 Project = Printerest is a program that allows Pinterest users to have postcards of their pins mailed to them, in order to create their own real life pinboards. The interface is via Python command line, and it makes use of the Pinterest and Lob APIs (as well as many other libraries). Images are downloaded from the selected pinboard and then resized to fit lob's specifications. Not in production due.

Modules I made for an IRC chat bot called Phenny based in Python. These modules can bookmark links and make a magic 8 ball among other things.

Project for MIT Hackathon (HackMIT 2013) - took Synaptics 3D touchpad and made it into a theremin that took x,y, and z coordinates and turned them into notes in varying octaves and volumes. Won second place in the Synaptics Touchpad category.

My highschool used a website called JupiterGrades to keep track of grades but there was no notification system for when the grades changed. This is a program I made to text people when their grades on www.jupitergrades.com change.