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Charlie Chenyu
Full Stack Software Engineer at Manulife | He/Him
About
Charlie Chenyu is a Full Stack Software Engineer at Manulife with over 4 years of relevant experience. He is a creative, systematic, entrepreneurial, and practical individual who is assertive and open-minded at the same time. Charlie is passionate about building high-quality software products that solve real problems and create huge values for customers. He is currently working as a Web Development Mentor at Lighthouse Labs, mentoring and inspiring future software engineers. Charlie graduated from the University of Toronto - St. George Campus with an Honors B.Sc. degree in Computer Science (with high distinction). He has a diverse technical skill set that includes JavaScript (ES6+), Java, Python, TypeScript, Golang, Groovy, C, PHP, YAML, JSON, Swift, Bash, HTML5, CSS3, Sass, React, Redux-Saga, Node.js, Express.js, PostgreSQL, Oracle, MongoDB, MATLAB, Unity, scikit-learn, NumPy, Git, Docker, Kubernetes, PCF, Amazon S3, AWS Batch, Storybook, Swagger, Jest, Enzyme, Figma, Miro, Mural, SonarQube, Snyk, JMeter, Burp Suite, Travis CI, Jenkins, Postman, Apigee, New Relic, Devo, Dynatrace, VoiceOver, NVDA, WAVE, Siteimprove, and Kibana. Charlie has previously worked as an Associate Full-stack Software Engineer at Manulife and a Software Engineer at Ross Intelligence. At Ross Intelligence, he built reusable components and developed features including the decision reader, top navigation bar, omnibar, document analyzer, etc., and closed 36+ various bug tickets using TypeScript, React, Redux, Saga, Python3, and Groovy that improved overall user experience. He also built a Statutes and Regulation (SnR) hyperlinking microservice that extracts and highlights SnR citations in 5 million cases using Python3, Docker, Kubernetes, Amazon S3, and AWS Batch. Charlie's tech stack includes Web, Software Engineer, Javascript, AWS, New Relic, Kubernetes, Docker, Typescript, MongoDB, Jenkins, Redux, Scikit, test, PHP, Microservices, CI/CD, Integration, NodeJS, Python, Golang, AI, NLP, ML, Neural Networks, Mobile, UI, Java, and Swift. Charlie is always interested in bouncing ideas and solving real problems with like-minded individuals.
Education Overview
• university of toronto
Companies Overview
• lighthouse labs
• manulife
• ross intelligence
• cutc foundation
• microsoft
• uoft entrepreneurship hatchery
• university of toronto
• european innovation academy
• startup school online
• udiply
Experience Overview
4.7 Years
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Experience
Skills
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algorithms
Algorithms
Amazon S3
Amazon Web Services (AWS)
Application Programming Interfaces
Application Programming Interfaces (API)
Artificial Intelligence (AI)
Bash
Business Intelligence (BI)
c
CI/CD
Cloud Foundry
Continuous Delivery
Continuous Integration
css3
Customer Retention
Dart
data structures
Data Structures
Design
disaster recovery
docker
Docker
Education
expressDotJs
Figma
French
Git
github
golang
Groovy
html 5
HTML5
Integration
java
javascript
Javascript
jenkins
Jenkins
Jest
JMeter
JSON
Kibana
kubernetes
Kubernetes
Machine Learning (ML)
matlab
microservices
Microservices
Mobile
mongodb
MongoDB
Natural Language Processing (NLP)
neural networks
Neural Networks
New Relic
nodejs
NumPy
Oracle Database
php
PHP
Pivotal Cloud Foundry (PCF)
PostgreSQL
python
Quality Control
reactjs
ReactJS
redux
Redux
Sales
SASS
Scikit
Scikit-Learn
security
Software Engineer
Sonarqube
swift
test
typescript
Typescript
ui
Unity
User Experience
User Experience (UX)
User-centered Design
Web
Web Development
YAML
Contact Details
Email (Verified)
chaXXXXXXXXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
university of toronto
Bachelor’s Degree
2015 - 2019
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