Software Development Engineer (QA Test) at SS&C Technologies
Chicago, Illinois, United States
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Erbynn K is a versatile software engineer with 8 years of experience building and testing cloud-native, low-latency systems across finance and startups, currently working as an SDE (QA/Test) at SS&C Technologies in Chicago. He blends strong backend expertise in C#/.NET Core and Java with frontend skills in Angular/TypeScript, and has repeatedly improved delivery via CI/CD, containerization, and automated test coverage. At Morgan Stanley and turntabl he modernized large legacy codebases, raised test coverage dramatically, and optimized deployment pipelines across global teams. While pursuing a Master’s in Computer Science at Illinois Tech he also mentored students and built an event-driven microservice using AWS SQS/SNS and DynamoDB that emphasized low-latency indexing and caching. Known for treating bugs as treasure maps, he pairs hands-on coding with mentoring and cross-cultural collaboration to accelerate team delivery. He brings a pragmatic mix of QA rigor, systems-level performance tuning, and teaching experience to product-quality engineering.
8 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Illinois Institute of Technology
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Cape Coast
Computer Software Engineering, Computer Software Engineering at Global Code Bootcamp
Designed and implemented programming best practices that place distinction on writing high-quality code by applying design patterns and principles. Not good enough to just produce the correct output, but code that is flexible, easy to maintain, properly cohesive, loosely coupled and easily tested
Contributions:2 PRs, 5 pushes, 2 branches in 2 years 7 months
An IoT-based water quality monitoring and notification system for fish farmers to determine the physio-chemical parameters of aqua-cultured sites such as fish ponds. Built with esp32-arduino microcontroller, sensors (temperature, turbidity, pH, ultrasonic), Python Flask and SQLite Database). Literature work: https://drive.google.com/file/d/1_ctEz1cAZmnwtB1LCnVKh2_sHrVP6vUU/view
Contributions:84 commits, 67 pushes, 4 branches in 2 years 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Erbynn K - Software Development Engineer (QA Test) at SS&C Technologies