• Programming Languages: Python
• AWS Services: Lambda, SQS, S3, CDK, EventBridge, DynamoDB, Step Functions
• Web Frameworks: FastAPI
• Version Control: Gitlab
• Data Analysis: Pandas
• Development Tools: Jupyter

June 2022 - Present

• Contributed to a serverless backend application on Amazon Web Services using Python, boto3 SDK, AWS CDK, and Gitlab.
• Collaborated in a Scrum team, implementing event-driven software architecture and designing/refactoring architectures using Lucidcharts.
• Followed Agile Principles, including Daily Standups, Merge Parties, and Mobbing Sessions in 2-week sprints.
• Utilized Jira, Confluence for documentation, Newrelic for KPI tracking, and Sonarcube for code coverage.

June 2022 - November 2022

• Completed tickets successfully integrated into the proprietary code base.

December 2018 - May 2019

• Managed Microsoft Office tools, including Access, for maintaining a database of specimen data.
• Conducted specimen measurements and preprocessing routines for cross-referencing source measurements.
• Took on TA responsibilities, including alphabetization and compiling information into proprietary software.
• Conducted extensive research on specimens for anthropology faculty classification.

University of California, Berkeley
May 2022
Bachelor of Data Science

• Emphasized model engineering, machine learning algorithms, optimization, and probability theory.

• Deployed a pre-trained neural language model through AWS serverless platform using technologies such as AWS EFS, Lambda, API Gateway, S3, and DynamoDB.

• Collaboratively constructed a two-dimensional world using boilerplate code on Github.
• Designed classes to generate a world, landscape, and shapes while using an intermediate class to connect them.

• Constructed a CNN for encoding contextual meanings via n-gram detection and dimensionality reduction.
• Response variable is a distribution of binary labels over tokenized movie reviews.
• Developed neural network architecture using PyTorch libraries and trained over GLoVE embeddings.

• Successfully contributed to the development of serverless applications on AWS using Python and relevant technologies.
• Applied Agile principles, including Daily Standups, Merge Parties, and Mobbing Sessions in a Scrum team environment.
• Proficient in using Jira, Confluence, Newrelic, and Sonarcube for documentation, KPI tracking, and code coverage.
• Completed a successful internship with hands-on experience in integrating tickets into a proprietary code base.