Xinli Jia

(1)347-331-9714

548 Riverside Dr, New York, NY 10027

MS in Electrical Engineering
Expected Dec 2017

BS in Electrical and Computer Engineering
Aug 2016

Proficient:
Python • C++ • Matlab
Familiar:
C • Java • R

Linux • MacOS

Django • Ruby on Rails •HTML

AWS EC2 • DynamoDB • Kinesis MySQL • S3

Feb 2017 - Current | Columbia University
• Built a model on AWS machine learning to recommend appropriate music based on in-car environment and other factors.
• Used Kinesis stream to update the model in real time.
• Built a web APP using Django to demo the results.

Sep 2016 - Dec 2016 | Columbia University
• Built a model to predict price trends of particular stocks based on historical movement using Spark Python.
• Used R to clean the data and run the model on databricks.

Sep 2016 - Dec 2016 | Columbia University
• Implemented a programming language in Ocaml to plot graph in coordinate system.
• Created a compiler by Ocaml to translate source program to LLVM.

Sep 2015-Dec 2015 | Shanghai, China
• Contributed to designing an Apple Watch APP, ActiveFitConference, to bring the athletic lifestyle into the conference rooms.
• Conducted a study and training on APP development on OS X.
• Conducted a review on related products and a market analysis, and
completed a proposal for APP functions and architectures.

Jan 2015-June 2016 | Shanghai, China
• Proposed and implemented a crowdsources peer-assisted indoor positioning system based on WiFi signals.
• Adopted a core algorithm of FeetSLAM techniques (Simultaneous Localization and Mapping for pedestrians), and contributed to the algorithm implementation in Java and Matlab.
• Achieved an average positioning accuracy of within 2m performance in different environments.

Mar 2014-Oct 2014 |Shanghai, China
• Developed a face recognition algorithm by combining principle component analysis method(PCA) and Local Binary Pattern(LBP) method in Matlab.
• Demonstrated a recognition accuracy higher than 96%, comparable to many state-of-the-art methods.
• Filed a Chinese patent on this work: ‘X. Jia, B. Li, L. Tian, X. Hao and T. Sun, Patent No. 2014106082274, Oct. 2014.’