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@@ -5,6 +5,7 @@ | |
<meta name="viewport" content="width=device-width, initial-scale=1.0" /> | ||
<title>Alex Yang</title> | ||
<link rel="stylesheet" href="style.css" /> | ||
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css"> | ||
<meta name="google-site-verification" content="WpXclVcD_gnl1HsxdRvgYEP9D2H7sx_08jBqGa9ULl8" /> | ||
</head> | ||
<body> | ||
|
@@ -19,36 +20,25 @@ | |
|
||
<section id="head" class="max-width"> | ||
<div class="container column max-width"> | ||
<div class="container column"> | ||
<h1>Alex Yang</h1> | ||
<div class="container column max-width"> | ||
<h1 class = "max-width">Alex Yang</h1> | ||
<div class="row" id="head-links"> | ||
<strong> | ||
<a | ||
href="https://aletya.netlify.app/assets/AlexYangResume.pdf" | ||
class="project-link" | ||
>Resume</a | ||
> | ||
<a href="https://aletya.github.io/assets/AlexYangResume.pdf" class="project-link" style="color: black;"> | ||
Resume | ||
</a> | ||
| | ||
<a | ||
href="https://github.com/aletya" | ||
target="_blank" | ||
class="project-link" | ||
>Github</a | ||
> | ||
<a href="https://github.com/aletya" target="_blank" class="project-link"> | ||
<i class="fa fa-github fa-lg" style="color: black;"></i> | ||
</a> | ||
| | ||
<a | ||
href="https://www.linkedin.com/in/aletya" | ||
target="_blank" | ||
class="project-link" | ||
>LinkedIn</a | ||
> | ||
<a href="https://www.linkedin.com/in/aletya" target="_blank" class="project-link"> | ||
<i class="fa fa-linkedin fa-lg" style="color: black;"></i> | ||
</a> | ||
| | ||
<a | ||
href="mailto:[email protected]" | ||
target="_blank" | ||
class="project-link" | ||
>Email</a | ||
> | ||
<a href="mailto:[email protected]" target="_blank" class="project-link"> | ||
<i class="fa fa-envelope fa-lg" style="color: black;"></i> | ||
</a> | ||
</strong> | ||
</div> | ||
</div> | ||
|
@@ -112,21 +102,15 @@ <h2>Experience</h2> | |
</div> | ||
<ul class="responsibilities"> | ||
<li> | ||
Implemented a robust data processing pipeline using | ||
Python-based <strong>AWS Lambda</strong> functions to stream | ||
data from <strong>S3</strong> to <strong>DynamoDB</strong>, | ||
enabling efficient processing and storage of large files | ||
without overwhelming the system | ||
Benchmarking various ML models to optimize contact times, enhancing customer engagement and timely payments | ||
</li> | ||
<li> | ||
Engineered a data synchronization and visualization framework | ||
utilizing <strong>DynamoDB</strong> and | ||
<strong>OpenSearch</strong>, providing rich visualizations and | ||
dashboard for data analysts | ||
Establishing reproducible training workflows, optimizing performance and ensuring consistency in machine learning | ||
model training and deployment processes by leveraging Kubeflow, Kubernetes, and Snowflake | ||
</li> | ||
<li> | ||
Engineered a comprehensive UI with SSO access management, file | ||
uploads, complex requests, and auditing capabilities | ||
Implementing robust pipelines for the API infrastructure, enabling access to the ML model and implementing features | ||
such as auto-failover and rollback deployment | ||
</li> | ||
</ul> | ||
</div> | ||
|
@@ -159,17 +143,17 @@ <h2>Experience</h2> | |
</div> | ||
<ul class="responsibilities"> | ||
<li> | ||
Deployed API servers on <strong>EC2</strong> with | ||
<strong>ZERO</strong> downtime during updates by implementing | ||
Deployed API servers on EC2 with | ||
ZERO downtime during updates by implementing | ||
a blue-green deployment strategy | ||
</li> | ||
<li> | ||
Developed robust CI/CD pipelines for the API using | ||
<strong>Code Deploy</strong>, <strong>Code Pipeline</strong>, | ||
and <strong>Github Actions</strong> | ||
Code Deploy, Code Pipeline, | ||
and Github Actions | ||
</li> | ||
<li> | ||
Achieved <strong>96.55%</strong> branch coverage, ensuring | ||
Achieved 96.55% branch coverage, ensuring | ||
reliable, seamless CI/CD by developing a testing framework | ||
using Jest | ||
</li> | ||
|
@@ -208,15 +192,13 @@ <h2>Experience</h2> | |
signature hackathon using Express.js and Node.js | ||
</li> | ||
<li> | ||
Reduced costs by <strong>98.5%</strong> by redesigning | ||
database schemas, building CI/CD pipelines, and streamlining | ||
internal test suites | ||
Reduced costs by 98.5% by transitioning from a microservice architecture to a monolith architecture and redesigning database schemas | ||
</li> | ||
<li> | ||
Achieved a <strong>99% </strong>reduction in bandwidth usage | ||
Achieved a 99% reduction in bandwidth usage | ||
for storing/viewing applicants' resumes by developing a | ||
service to facilitate user-specific uploads/downloads to | ||
<strong>S3</strong> | ||
S3 | ||
</li> | ||
</ul> | ||
</div> | ||
|
@@ -378,7 +360,7 @@ <h3>Grocery Deal Finder</h3> | |
<h3>File Hosting Application</h3> | ||
<p><em>C</em></p> | ||
<p> | ||
Developed a TCP based client-server application allowing users to host/share files on a public server. | ||
Developed a TCP-based client-server application for hosting and sharing files on a public server. | ||
</p> | ||
<p> | ||
<a | ||
|
@@ -428,7 +410,7 @@ <h3>AI Chinese Chess</h3> | |
" | ||
/> | ||
<h3>Ecosystem Simulation</h3> | ||
<p><em>HTML/CSS, JavaScript</em></p> | ||
<p><em>JavaScript, HTML/CSS</em></p> | ||
<p> | ||
A traditional simulation of foxes and rabbits to illustrate the | ||
interaction between predators and prey. | ||
|
@@ -462,7 +444,7 @@ <h3>Ecosystem Simulation</h3> | |
" | ||
/> | ||
<h3>Personal Website</h3> | ||
<p><em>HTML/CSS, JavaScript</em></p> | ||
<p><em>JavaScript, HTML/CSS</em></p> | ||
<p>This website is written in pure HTML/CSS and JavaScript.</p> | ||
</div> | ||
</div> | ||
|
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