Skillset
Professional Skillset
● Programming Languages: Python, R, Java, JavaScript, SQL, HTML, CSS
● Big Data & Machine Learning: MongoDB, Python (eg. Pycharm, TensorFlow, scikit-learn, numpy, pandas, matplotlib)
● Data Science & Miscellaneous Technologies: A/B Testing, ETL, Data science pipepline (cleansing, wrangling, visualization, modeling, interpretation), Statistics, Time series, OOP, Tableau, Looker, Power BI, Excel, Git
Work Experience
Professional Experience
May 2025 – Aug 2025
Machine Learning Engineer Intern
Adobe Inc.
San Jose, California
● Developed a Vision Transformer-based contrastive + multi-label model to recommend overlapping font groups (255 labels), achieving 80% MAP@10 and reducing human annotation effort by 60%.
● Built a CLIP-style vision-language system aligning font images with human-interpretable group semantics across 30K+ fonts, handling noisy and imbalanced multi-label data at scale.
● Engineered PyTorch data loaders with group-balanced sampling and implemented SupCon + BCE hybrid loss for extreme multi-label learning.
Jan 2024 – May 2025
Research Assistant
MACHINE LEARNING AND COMPLEX SYSTEMS LAB, SJSU
San Jose, California
● Developed a chat-style Personalized Recommender Recipe System using a fine-tuned GPT-2 model on the Food.com dataset (~450,000 recipes).
● Applied natural language processing (NLP) and machine learning techniques to create a system that understands user dietary restrictions and taste preferences.
● Implemented Retrieval Augment Generation (RAG) with guardrails, utilizing 70% of the dataset to ensure high-quality, safe recipe recommendations.
March 2022 - July 2022
Data Analyst
CommonBond
New York, New York
● Analyzed historical data to identify user behavior which increased customers by 10% via utilizing the top 3 marketing channels effectively.
● Conducted conversion rate analysis in Python and communicated recommendations to business leads, resulting in the executive team’s decision to automate the underwriting processes.
● Extracted credit metrics from Snowflake using SQL to build a dataset for yearly government fair lending assessment
Feb 2021 - March 2022
Business Analyst Consultant
Instacart
San Francisco, California
● Created business reports utilizing SQL, Excel, and Tableau for internal stakeholders to provide real-time insights into sales and business KPIs.
● Built Periscope dashboards using SQL, reducing repetitive ad-hoc requests and improving team flow by 50%.
Jan 2020 - Jan 2021
Data Analyst
Opportunity Finance Network
Washington, DC
● Automated database development process with Python to manipulate members’ data, which saved 30 hours of manual data processing.
● Developed Tableau dashboards of financial indicators and ratios
● Analyzed the company’s borrowed funds using R, and visualized data with Tableau, presenting findings to the executives.
● Analyzed the company’s borrowed funds using R, and visualized data with Tableau, presenting findings to the executives.
Education
2023 - 2025
San Jose State University
Master of Science in Data Science
San Jose, CA
Relevant Coursework: Machine Learning, AI, Data Structures and Algorithms, Object-Oriented Programming
2016 - 2020
Concordia College
Dean's List
Bachelor of Arts in Financial Mathematics
Moorhead, MN