jamiis.me | email | github

M.S. Computer Science / Machine Learning, May 2015, GPA: 3.61
Columbia University, New York, NY

B.S. Applied Mathematics, B.S. Computer Science, May 2012, GPA: 3.49
University of Utah, Salt Lake City, Utah

Wavelet Health, Machine Learning Programmer, Fall 2016 - Winter 2018

• Deep learning based exercise classification of temporal wearable sensor data using LSTM recurrent neural networks
• Built and oversaw entire ML pipeline including developing a methodology for acquiring training data and deploying models to prod
• Tensorflow, Tensorflow Serving, pandas, scikit-learn

DBRS Innovation Labs, Machine Learning Programmer, Contracting as Korova LLC, Fall 2015 - Fall 2016

• Built a document recommendation engine platform and qualitative algorithm inspection tool based on doc2vec, t-SNE and k-means clustering
• Trained a character-level recurrent neural network to generate sheet music
• gensim, Spark, Databricks cloud notebooks, D3.js, NVD3

Paperspace, Fullstack Engineer, Contracted as Korova LLC, Summer 2015

• Deployed scalable metrics monitoring and visualization for all of the distributed services
• Rewrote the backend and added an admin tool for navigating the REST API
• JavaScript (LoopBack, Node, Express, Mocha) Docker, InfluxDB, Grafana, collectd, StatsD, nginx, AWS

HackNY, Summer Fellow / Seen.co, Fullstack Web Engineer Intern, Summer 2014

• Created a crawler, ranking algorithm, and admin dashboard to streamline adding events to the database
• Python (Scrapy), JavaScript, Ruby (Sinatra), CSS, MongoDB

HireVue, Fullstack Web Engineer, Dec 2011 - July 2013

• Refactored poor backend Django code and built our RESTful API
• Completely rewrote our frontend in AngularJS
• Python (Django), JavaScript (AngularJS, jQuery, Jasmine), CSS (Bootstrap, LessCSS)

Descue, iOS Engineer, Sept 2012 - Feb 2013

• Created an HIV/AIDS-detection prototype for an early-phase bioengineering startup
• Programmed and designed app UI and bluetooth networking between the device and phone

Sparrow Healthcare, iOS Dev Intern, Summer 2011

• Engineered and designed suite of medical reference iOS apps

Tessellize, Emulate artistic style in real time using convolutional neural network image transformers

• Grand Prize winner of the Artificial Intelligence Hackathon out of 27 teams
• Texture Networks, Perceptual Losses for Real-Time Style Transfer & Super Resolution, CUDA, Torch, Chainer

Movie Explorer, find something to watch by spatially exploring similar movies

• Flask backend talks to Rotten Tomatoes and YouTube APIs
• Frontend utilizes D3.js and Knockout.js

Repommender, a Github repository recommendation system, Fall 2014

• Recommendation based on implicit collaborative filtering via Spark, pyspark, and MLlib
• Wrote a Python script to extract user-to-repo stars from Github database
• Frontend libraries used: CoffeeScript, Jade templates, Skel styling, Font Awesome icons

QUARK, Compilers Project, Fall 2014

• Implemented a compiler and language in OCaml for simulating quantum circuits

Undergrad Senior Competition, 1st Place of 25 Teams, Spring 2012

• Designed and programmed the iPhone and iPad app for scientific image and video processing
• Wrote the processing library in C from scratch and integrated Apple's A/V foundation

Strong: Python, JavaScript, Unix, Vim, Git, AWS, Docker
Machine Learning: TensorFlow, Keras, Chainer, Theano, scikit-learn, Spark, Torch, R Experienced: Haskell, OCaml, Objective-C, Ruby, C, C++, Java, Matlab
Frameworks/Libs: Numpy, Scipy, LoopBack, Express, Angular, Node, Django, Flask, Scrapy
Databases: Postgres, MongoDB, InfluxDB, MySQL

I love my motorcycle, skateboarding, NYC history and architecture, crosswords, cryptocurrencies, economics, and stand up comedy. Also, I brew a batch of beer on occasion.