Daniel
Kim
Graduate
Student
·
M
.
S
.
Computer
Science
University
of
Washington
·
Seattle
,
WA
ABO UT
ME
I
am
a
first
-
year
M
.
S
.
student
in
Computer
Science
at
the
University
of
Washington
,
working
with
Professor
Alicia
Tran
on
natural
-
language
processing
.
My
research
focuses
on
building
interpretable
question
-
answering
systems
and
understanding
when
language
models
reason
versus
recall
memorized
patterns
.
Before
graduate
school
,
I
spent
two
years
as
a
software
engineer
at
a
climate
-
tech
startup
,
where
I
learned
to
ship
research
ideas
into
production
.
Outside
the
lab
,
I
serve
as
a
teaching
assistant
for
the
graduate
machine
learning
course
and
contribute
to
open
-
source
NLP
libraries
.
EDUCAT IO N
M
.
S
.
Computer
Science
University
of
Washington
,
Seattle
2024 – 2026 (
expected
) ·
GPA
3.9
B
.
S
.
Computer
Science
University
of
California
,
San
Diego
2020 – 2024 ·
GPA
3.7 ·
magna
cum
laude
RESEARCH
INT EREST S
Question
Answering
Model
Interpretability
Retrieval
-
Augmented
Generation
Efficient
Fine
-
Tuning
Trustworthy
AI
SKILLS
LANGUAGES
Python
,
C
++,
Java
,
SQL
LIBRARIES
&
FRAMEWORKS
PyTorch
,
Hugging
Face
Transformers
,
LangChain
,
scikit
-
learn
TOOLS
Git
,
Docker
,
Linux
,
Jupyter
,
VS
Code
OTHER
LaTeX
,
technical
writing
,
academic
tutoring
✉
daniel
.
kim
@
uw
.
edu
◌
github
.
com
/
danielkim
◌
linkedin
.
com
/
in
/
danielkim
◌
Seattle
,
WA
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