Herman is available for hire
Hire HermanHerman Ching
Verified Expert in Engineering
Quality Assurance (QA) Developer
New York, NY, United States
Toptal member since January 13, 2021
Bio
Herman has a decade of experience under his belt, specializing in testing and writing intelligent frameworks by providing pertinent information that transforms decision-making. Herman discovered a backdoor to a custom application allowing fraudulent transactions to occur, saving the client millions of dollars in potential losses. He writes custom performance framework solutions from Java to Python behavior-driven development for financial services. His solutions are scalable and clean.
Portfolio
Tower Research
Python 3
Citi
Apache Tomcat, Nexus, Jenkins, Java
Lab49
Java, Node.js
Experience
Availability
Part-time
Preferred Environment
IntelliJ IDEA, Unix, Windows, PyCharm
The most amazing...
...error I discovered was a backdoor to a custom application allowing fraudulent transactions to occur. This saved millions of dollars in potential losses.
Work Experience
Senior Tech Lead
2017 - 2021
Tower Research
- Developed a test framework in Python from scratch to support testers, developers, and business users. This allowed us to increase testing; 489 test cases scaled across 200 plus markets.
- Built our first continuous integration pipeline that enabled an efficient development cycle, which shortened delivery time from two weeks to two hours.
- Scaled testing framework to other products and divisions to unify testing efforts. Supported 13 different products and four divisions under one framework.
- Led a local team of eight and a international team of seven with the initial objective to adopt and utilize a home-grown test framework.
Technologies: Python 3
DevOps - VP
2017 - 2018
Citi
- Improved performance of Cucumber tests by more than half running at 1.35 tests/second.
- Setup new testing environments to deploy for manual and automated assisted testing.
- Rebuilt an analytics testing framework to compare numbers against legacy and current build versions.
- Defined new pipelines that exposes code that gets delivered and deployed to production.
Technologies: Apache Tomcat, Nexus, Jenkins, Java
Deputy Practice Head
2013 - 2017
Lab49
- Built a Bootstrap framework in Java to accelerate the onboarding of test automation for new clients. Onboarding time was reduce from a month to a week. This was built for front-end testing such as Selenium and supported multiple browsers.
- Led and expanded testing frameworks to other interfaces using proven methodologies—this parallelized onboarding time and each new test framework that we supported. Additional interfaces supported were REST APIs and a custom Java interface.
- Ensured timely deliverables through executable contracts in which customers can run themselves, hardening confidence of lasting value that shortened the time needed to close out contracts.
- Managed a team of five to lead client engagements in testing requirements and efforts.
Technologies: Java, Node.js
Officer of Middle Office
2012 - 2013
State Street
- Developed an integrated quality assurance dashboard which unified regression reports, provided event tracking, logging and notification system. Built an API and a web interface for increased accessibility.
- Implemented a custom-based concurrent performance test and framework for a new high-volume data project.
- Renovated legacy frameworks, improved test performance by over 325%, while keeping coverage and functionality.
Technologies: Bloomberg, Java
Experience
BDD Python Testing Framework
For a financial application for making trades, I created a testing framework for testers, business users, and developers to use. This allows for both capture of requirements and execution of test cases.
Triple Interface Cross Validation
Financial services that provided important computations had three interfaces; a legacy back-end service, Excel service lookup, and a modern rest API service. To ensure compatibility and accuracy as we grew, I built a testing framework in Java that transformed each interface to align to specific test cases. This accelerated confidence and enabled us to accurately state at each sprint when we will deliver. We did not break old interfaces or old code.
Sports Prediction Strategy
Using historical data, I built a Python-based application to use machine learning with historical filters to develop strategies to predict spreads, totals, and outright wins. In addition, I built a simulation that would backfill strategies to determine the success and volatility of each strategy.
Skills
Libraries/APIs
Selenium WebDriver, REST APIs, Node.js
Tools
Jenkins, PyCharm, IntelliJ IDEA, Behave, Apache Tomcat, Bloomberg
Languages
Python, Python 3, Java
Frameworks
Selenium
Paradigms
Behavior-driven Development (BDD)
Platforms
Windows, Unix, Nexus
Other
Quality Assurance (QA), QA Automation, FPGA
Collaboration That Works
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