kristyelee.github.io/experience.html at master · kristyelee/kristyelee.github.io · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
<!DOCTYPE html>

<html lang="en">
<head>
    <title>Kristy Lee</title>
</head>

<body>

    <!-- Navigation -->
    <nav class="navbar navbar-inverse">
        <div class="container">
                <a href="index.html">Home</a>
                <a href="about.html">About</a>
                <a style="color:#e01709" href="experience.html">Experience</a>
                <a href="program.html">Program</a>
                <a href="research.html">Research</a>
                <a href="projects.html">Projects</a>
        </div>
    </nav>


    <!-- Page Content -->
    <div class="container">

        <div class="row">

            <!-- Experience -->
            <div class="col-md-8" style="min-height: 100vh; height: auto;"> <!--100hv-->
                <h2 id="experience">Experience</h2>

                <h3 id="exp_current">Current</h3>
                <p>
                Currently looking for software engineer opportunities.
                </p>
                <h3 id="exp_past">Past</h3>
                <p>
                I worked as a full-time software engineer at Apple working for Siri (Siri Communication Products) [Dec. 2022-Mar. 2024].
                <br><br>
                In Summer 2021, I worked at <strong><a href="https://www.apple.com">Apple</a></strong> as a <strong>AI/ML Domains Software Engineering Intern</strong> on the <strong>Siri Experience (Siri Messages)</strong> team. I worked on the identification and classification of important messages in Siri Messages. I enjoyed the work and the creation of the prototype.
                <br><br>
                In Summer 2020, I worked at <strong><a href="https://www.apple.com">Apple</a></strong> as a <strong>Software Engineering Intern</strong> on the <strong>iOS System Experience team</strong>. I designed and implemented machine learning classifier for incoming text-based bug reports using Swift NLP APIs. My work performance was enjoyable and I liked learning about creation using Swift.
                <br><br>
                In Spring 2020, the spring semester of sophomore year, I worked with Statistics postdoc Xiaowu Dai to research the generalization gap associated with large batch training. I implemented and experimented with multiple neural network architecture models (AlexNet, VGG).
                <br><br>
                In Fall 2019, the fall semester of sophomore year, I worked at <strong><a href="https://seti.berkeley.edu">Berkeley SETI Research Center</a></strong> as a undergraduate researcher and was accepted through the Berkeley URAP program. I trained a convolutional neural network to distinguish fast radio bursts (FRBs) from radio frequency inference (RFI). I integrated the training models into Breakthrough Listen signal-retrieval pipeline.
                <br><br>
                I also contributed to course software for Berkeley's CS61A course.
                </p>


            </div>
        </div>

    </div>
</body>
</html>