Research Assistant at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Greater New York City Area
MemSQL
Software Engineering Intern
May 2014 to August 2014
Highland Capital Management, L.P.
Operations Manager
June 2019 to August 2019
Greater New York City Area
MemSQL
Software Engineer
March 2018 to June 2019
New York
Hywin Capital Management
Quantitative Analyst
October 2017 to March 2018
Greater New York City Area
Tech Square Trading
Quantitative Analyst
July 2016 to October 2017
Cambridge, Massachusetts
Tower Research Capital
Quantitative Trading Intern
May 2015 to August 2015
Greater New York City Area
MongoDB
Developer
February 2014 to May 2014
Gmail SRE Intern
June 2013 to August 2013
Mountain View, CA
Trinity College Computer Science Department
Research Apprentice
January 2012 to May 2013
MIT Brain and Cognitive Sciences
Research Assistant
Cambridge, Massachusetts, United States
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Research Assistant
Cambridge, Massachusetts, United States
Harvard University Graduate School of Arts and Sciences
Research Assistant
June 2020 to September 2020
Cambridge, Massachusetts, United States
High School Affiliated to Renmin University of China
2005 to 2011
Massachusetts Institute of Technology
Bachelor's degree, Computer Science, Math
2013 to 2016
Trinity College-Hartford
2011 to 2013
Massachusetts Institute of Technology
Master's of Engineering, EECS
2019 to 2021
What company does Jiajia Zhao work for?
Jiajia Zhao works for MemSQL
What is Jiajia Zhao's role at MemSQL?
Jiajia Zhao is Software Engineering Intern
What industry does Jiajia Zhao work in?
Jiajia Zhao works in the Financial Services industry.
Who are Jiajia Zhao's colleagues?
Jiajia Zhao's colleagues are Susan Fredell, Lorrin Smith-Bates, Svilen Mihaylov, Roxanna Pourzand, Alex Hughes, Looks Steere, Carl Sverre, Haochen Zhang, John Bowler, and Andrew Goetz
📖 Summary
Software Engineering Intern @ MemSQL - Implementation of various features in a fast and distributed database From May 2014 to August 2014 (4 months) Operations Manager @ Highland Capital Management, L.P. Simplifies and centralizes crypto mining into one software.- Directly reporting to the company’s CEO, CTO and CMO on prioritizing potential projects and pushing for their smooth execution.- Created and managed Over-The-Counter trading systems for crypto-currencies with multiple desks.- In-depth user funnel analysis of the flagship product. Reported results and made suggestions to the Business Intelligence team.- Project leader on organizing and documenting the administration panel functionalities on multiple products for new hire training purposes.- Streamlined the company's customer support process. Compiled documentation that served as a guide to the customer support team. From June 2019 to August 2019 (3 months) Greater New York City AreaSoftware Engineer @ MemSQL - Core member of the Query Processing and Optimization team- Designed and implemented internal binary mode for more efficient communication among nodes in a distributed system.- Designed and implemented in-list filter optimizations for distributed systems with multi aggregators and leaves.- Project leader of the development of the collection and display of feature statistics of different queries shapes in a distributed cluster. From March 2018 to June 2019 (1 year 4 months) New YorkQuantitative Analyst @ Hywin Capital Management - Hands on experience in the Chinese futures market.- Developed, back-tested, and implemented intraday stat arb strategies with sharpe > 4 in Chinese futures.- Optimized strategies and portfolios based on trader behaviors/sentiment analysis.- Conducted extensive research on the specific rules and regulations in the Chinese futures market.- Trading data visualization for various OS and platforms in different languages including HTML, CSS, Javascript, C#/VS. From October 2017 to March 2018 (6 months) Greater New York City AreaQuantitative Analyst @ Tech Square Trading - Actively involved in portfolio construction; developed, maintained and optimized trading strategies across different markets and holding periods; monitored trading platform and investor relations.- Designed and implemented alpha signals including market regime detection and pattern recognition, from analyzing a variety of large data sets, using machine learning principals.- Investigated market micro structure, and significantly improved the performance of a mid-frequency market making strategy, deployed strategies to multiple exchanges and countries.- Innovative data retrieval and analysis from alternative data sources for alpha research using NLP techniques. From July 2016 to October 2017 (1 year 4 months) Cambridge, MassachusettsQuantitative Trading Intern @ Tower Research Capital - Developed a risk limit management system to prevent potential violation of risk limits on traded products.- Integrated the above system into the overall trading platform, so that the new system adds minimal latency to the overall platform.- Successfully detected and handled multiple forms of failure recovery, such as user server crash and restart.- Implemented a data structure that improved variable sampling efficiency, by designing and implementing essential operations such as iterators. From May 2015 to August 2015 (4 months) Greater New York City AreaDeveloper @ MongoDB - Worked on the backend of a new Mongo-HHVM driver- Create encoding and decoding functions between PHP and BSON for all mongo-specific types, such as mongoID, mongoDate, mongoTimestamp, etc- Support other C++ implementations with existing C functions From February 2014 to May 2014 (4 months) Gmail SRE Intern @ Google Site Reliability Engineer intern• Designed and integrated a monitoring dashboard into the existing platform, to automate the process to monitor Gmail reliability. • Backend work: queried desired data from a query machine with proper filters. • Frontend work: passed and processed data between web servers and clients. Visualized raw data and displayed it. From June 2013 to August 2013 (3 months) Mountain View, CAResearch Apprentice @ Trinity College Computer Science Department • Composed a paper, An Efficient Out-of-Core Implementation of Block Cholesky on a Multi-GPU System, and won the best paper award on IASTED 2012 (Nov 2012). • Developed an efficient parallel implementation of Cholesky decomposition using General-Purpose Graphics Processing Units (GPGPU) and successfully applied it to image processing. From January 2012 to May 2013 (1 year 5 months) Research Assistant @ MIT Brain and Cognitive Sciences Cambridge, Massachusetts, United StatesResearch Assistant @ MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Cambridge, Massachusetts, United StatesResearch Assistant @ Harvard University Graduate School of Arts and Sciences From June 2020 to September 2020 (4 months) Cambridge, Massachusetts, United States
Introversion (I), Intuition (N), Thinking (T), Judging (J)
0 year(s), 7 month(s)
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