Sun Xueliang Email & Phone Number

⚫ Infrastructure:o Built a simulation system that given alpha signals, runs simulation for PnL, Sharp Ratio, etc.o Constructed a job system that utilizes NoSQL, runs and tracks jobs on remote machines.o Designed a computing system that leverages multiple cores, splits job and executes in parallel.o Set up a job scheduling system that manages dependencies, monitors status, supports incremental build.⚫ Data Engineering:o Designed and maintained the company’s proprietary data platform.o Established the instrument universe that generates portfolios, links data and alpha signals.o Cleaned and cured numerous unstructured vendor data into standardized format.⚫ Strategies:Developed some strategies.

The research is on Two-Dimensional Magnetic Recording (TDMR) for next-generation hard disk drives.The objective is to increase information density and storage capacity.- Built and tested a system with reader signal as input and user data as output.- Analyzed the grain and reader characteristics and modeled them.- Utilized a machine learning approach called Generalized Belief Propagation(GBP); combined separate mini-cell grain nuclei configurations by message passing algorithm to obtain an estimate of the global grain image.- Implemented complex algorithms for computing channel capacity for 2-dimensional interference.- Based on big data analysis, created a novel and potent TDMR detector using local area probabilistic estimation called Y-effect detector; trained the probabilistic model through Monte-Carlo simulation to estimate the grain's effect on its adjacent bit cells; achieved an order-of-magnitude reduction in Bit Error Rate (BER).Pulished 2 journal papers in IEEE Transactions on Magnetics.

- Built a cloud server on Amazon Web Services that handles web requests from client and responds with webpage to show demo of traffic economic model.- Created cloud databases to store data from Google Map API that allows training the economicmodel with trip mode, routes, fares, and time span.- Designed webpage that client can verify the validity of this economic model and helps UberTechnologies Inc. price their taxi products.

-Create front-end webpage for players using HTML, CSS, JavaScript.-Solved problem of finding shortest path in a node graph with Dijkstra's algorithm.-Collect, analyze user preferences of players by linear regression and greedy search.-Developed web application in C# script with communication interface of MongoDB database.

Pullman/Spokane/Tri-Cities/Vancouver/Everett/Global, Washington, Us

Teaching Assistant of course EE 261-Electrical CircuitsGrade homework; help students understand concepts of electrical science in linear circuit analysis.

Pullman/Spokane/Tri-Cities/Vancouver/Everett/Global, Washington, Us

Teaching Assistant of course EE 261-Electrical CircuitsGrade homework; help students understand concepts of electrical science in linear circuit analysis.

The research foucses on compression of hyperspectral remote sensing imagesThe objective is to reduce the redundant information within the enormous data volume.- Built and tested a software for preprocessing hyperspectral images using MFC.- Strengthened high-performance lossless and lossy compression by decorrelation using multipletransformations like KLT and wavelet.- Implemented a machine learning based algorithm called Optimum Binary Tree (OBT) for predictionoptimization.

Master'S Degree, Computer Science

Doctor Of Philosophy (Ph.D.), Electrical Engineering And Computer Science

Bachelor Of Engineering (B.E.), Electrical Enigneering And Computer Science