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About Me
Experience
May 2024 - August 2024
Amazon Web Services
Software Dev Intern (ML)
Part of an internal investigative team aiming to quantitatively benchmark user/developer experience across
AWS
.
Overhauled a pipeline to ingest unstructured user sessions into a data lake with AWS
Lambda
,
S3
, and
Glue
.
Optimized a screenshot labeling process used to categorize user activity through AWS
Rekognition
and
A2I
.
June 2023 - August 2023
Tanium
Software Engineer Intern
Developed
RESTful API
routes and frontend elements for a new interface that audits user
CRUD
operations on a
PostgreSQL
DB.
Improved customer visibility into the server console’s state by
10x
for Tanium's Threat Response product.
Exercised test-driven development and data validation using
Jest
,
Jasmine
, and
Joi
to ensure UI and API reliability.
Delivered rapid improvements & bug fixes in a
Knex.js
and
React TypeScript
monorepo, tracked using
Jira
Kanban.
May 2022 - August 2022
Union Pacific Railroad
Technology Intern
Generated rail shipment pricing models with
up to 97% accuracy
utilizing
Salesforce CRM Analytics and XGboost
.
Decreased error margins of price estimations by
31% versus an existing 3rd party
pricing analytics solution.
Created and deployed an
Angular
application to fetch predictions from said models, currently used by the sales team.
Practiced data lookup, parsing, and cleaning from internal Teradata relational databases with
SQL and Pandas
.
January 2022 - July 2022
Exoskeleton & Prosthetic Intelligent Controls (EPIC) Lab - Georgia Tech
Undergraduate Research Assistant
Analyzed data across 400+ experimental trials to discover optimal human exoskeleton torque assistance profiles.
Automated a data pipeline for N-D signal time series into
MATLAB
structures for convenient access and distribution.
Optimized data loading for
ConvNet
gait phase estimators to be 25x faster with
NumPy
vectorization.