Contact

Email: [email protected]

Phone: +1 (323) 301-3957

LinkedIn: linkedin.com/in/PeterJiangSDE

Website: https://peterjiang.me

Education & Awards

Rutgers University, New Brunswick, NJ, USA

Master of Science in Electrical and Computer Engineering

Concentration: Computer Engineering GPA: 3.9 Sep 2015 – Jan 2018

South China University of Technology (SCUT), Guangzhou, China

Bachelor of Science in Engineering

Award: Third-class Scholarship of SCUT (2013-2014) Sep 2011 – July 2015

Experience

Amazon, Seattle, WA

Software Developer Jan 2020 – Present

  • Tech lead of a team of 7; launched a critical component of Amazon’s first digital banking product for emerging markets.
    • Designed and delivered 20+ back-end APIs to support in-house banking needs, including full-fledged banking features.
    • Designed and implemented a microservice providing Banking-as-a-Service to internal Amazon clients, seamlessly integrated with existing platforms.
    • Expected to have a US$500MM business impact in the first launched marketplace.
  • Delivered a critical component for external payment processing partners’ outage system.
    • Minimized order loss during partner outages, covering 100+ partner integrations.
    • Detected hundreds to several thousand (6,000+) actionable outages monthly.
    • Reduced outage detection time from up to 30 minutes to 5 minutes, increasing system resiliency.
    • Co-authored and filed a US patent.
  • Achieved Indian Payment Aggregators and Payment Gateways (PAPG) regulation and data localization compliance.
    • Designed data distribution and localization mechanisms to securely handle regulated data.
    • Decoupled data between Payment Aggregators and Gateways to comply with regulations.
  • Implemented an upfront charge mechanism to reduce friction from Europe PSD2 regulation for pre-sale orders.
    • Handled an average of 250k charges daily, with peaks over 500k.
    • Reduced potential loss due to friction in re-authentication, saving millions of euros per day.

Susquehanna International Group (SIG), Philadelphia, PA

Software Developer Feb 2018 – Dec 2019

  • Designed and implemented an ultra-low latency C++ gateway (~30% faster than industry average by median latency), handling millions of orders without performance compromise.
  • Developed message validation software capable of 30+ sophisticated checks on ~100 million messages/hour, optimized to use only a few GBs of memory (vs. 30–40 GBs and 12+ hours for similar systems).
  • Improved multiple components for flexible field handling, simplifying logic for six upstream teams.
  • Developed functional and performance testing tools for team and infrastructure health checks, including black box testing.

Software Developer Intern Jun 2017 – Aug 2017

  • Optimized a latency analysis system, reducing analysis time from 4–8 hours to 0.6–1.5 hours.
  • Improved a core order routing C++ system (handling ~20 million orders/day) by adding mapping logic, removing the need for upstream team changes.
  • Developed a NYSE Pillar database validation system in Python to cross-check internal and NYSE databases.
  • Profiled core order routing system performance using perf, FlameGraph, and Python; identified and resolved a bottleneck, reducing overall latency by 15%.

Research Experience

Stock Price Trends Predicting System Based on NLP Sentiment Analysis Rutgers University, Jan 2017 – May 2017

  • Preprocessed text from Twitter and Stocktwits using NLTK in Python (removing hyperlinks, citations, tickers, stop words, numbers; tokenized sentences).
  • Extracted features with bag-of-words and word2vec; trained SGD and ANN models for binary sentiment prediction.
  • Trained SVC, GaussianNB, and SGD classifiers for stock price trend prediction.
    • Achieved 0.73 accuracy for sentiment prediction; best accuracy of 0.67 for one-month stock close price trend prediction.
  • Led a team of five in designing a stock tracking and prediction system.
  • Implemented Bayes, SVM, ANN-based algorithms, and RSI, EMA prediction indicators.

Skills

  • Programming Languages: Java, C/C++, Python, PHP, JavaScript, Assembly Language, CSS, MySQL, ISPC, CUDA
  • Technologies: AWS, Android