CV
Education
MS in Computer Science - UC IrvineSep 2025 – Jun 2027 (expected)
Program: Master of Science in Computer Science
Institution: University of California, Irvine
Duration: Sep 2025 – Jun 2027 (expected)
Graduate GPA: 3.895/4.00
Institution: University of California, Irvine
Duration: Sep 2025 – Jun 2027 (expected)
Graduate GPA: 3.895/4.00
Relevant Coursework
Machine Learning, Systems and ML, Computer and Communication Networks, Deep Generative ModelsResearch
Robot learning and dexterous manipulation with Unnat Jain.BS in Statistics - UC DavisJun 2021 – Jun 2025
Program: Bachelor of Science in Statistics
Institution: University of California, Davis
Duration: Jun 2021 – Jun 2025
Undergraduate GPA: 3.889/4.00
Minors: Mathematics and Computer Science
• CRA Outstanding Undergraduate Researcher (Honorable Mention)
• UC Davis Statistics Outstanding Performance Citation
• Dean's Honor List (multiple quarters)
Institution: University of California, Davis
Duration: Jun 2021 – Jun 2025
Undergraduate GPA: 3.889/4.00
Minors: Mathematics and Computer Science
Awards & Honors
• Graduated with Highest Honors• CRA Outstanding Undergraduate Researcher (Honorable Mention)
• UC Davis Statistics Outstanding Performance Citation
• Dean's Honor List (multiple quarters)
Relevant Coursework
Data Structures & Algorithms, Probability Theory, Applied Linear Algebra, Multivariate Data Analysis, Real Analysis, High-Performance Statistical Computing, Statistical Learning, Machine LearningHonors Thesis
TowerDebias: A Novel Debiasing Method Based on the Tower PropertyNon-Degree Seeking - Foothill CollegeSummer 2019 – Winter 2021
Program: Non-Degree Seeking; Dual Enrollment Coursework
Institution: Foothill College, United States
Duration: Summer 2019 – Winter 2021
Institution: Foothill College, United States
Duration: Summer 2019 – Winter 2021
Relevant Coursework
Object-oriented Programming in Java (A-), Object-oriented Programming in Python (A+)Research & Industry Experience
Graduate Research Assistant · UC IrvineSep 2025 – Present
Advisor: Unnat Jain.
Robot learning and dexterous manipulation. GLIDE uses LLM-generated executable guardrails to support data collection and policy deployment on hard-to-demonstrate tasks.
- Assembled the tendon driven dexterous CRAFT hand and designed a YAM Ultra adapter in Fusion 360.
- Retargeted Meta Quest hand tracking for real-time teleoperation.
- Collected bimanual wine-pouring demonstrations and implemented GLIDE command filters for π0.5 policy deployment.
Graduate Research Intern · Johns Hopkins UniversityJun – Aug 2026
Advisors: Reno Kriz and Dave Doermann.
Developed OpenVAU, a two-stage Qwen vision-language pipeline to detect and explain anomalous events in raw video without predefined anomaly categories. A 32B model generates persona-guided questions from normal reference videos; an 8B model answers those questions on reference and unseen videos.
Undergraduate Research Assistant - UC DavisJun 2023 – Jun 2025
Position: Undergraduate Research Assistant
Department: Statistics and Computer Science
Institution: UC Davis
Location: Davis, CA
Duration: Jun 2023 – Jun 2025
• Developed a parallelized R pipeline to run cross-validated sweeps, compute fairness metrics (statistical parity difference, equalized odds, correlation), and cut experiment runtime by over 50%.
• Authored a journal submission and maintained reproducible code, figures, and experiment logs for replicability
Department: Statistics and Computer Science
Institution: UC Davis
Location: Davis, CA
Duration: Jun 2023 – Jun 2025
Key Responsibilities
• Implemented TowerDebias, a post-processing algorithm to reduce bias in black-box ML predictions; evaluated fairness–accuracy trade-offs across multiple tabular datasets.• Developed a parallelized R pipeline to run cross-validated sweeps, compute fairness metrics (statistical parity difference, equalized odds, correlation), and cut experiment runtime by over 50%.
• Authored a journal submission and maintained reproducible code, figures, and experiment logs for replicability
Undergraduate Research Assistant - UC DavisJun 2024 – Sep 2024
Position: Undergraduate Research Assistant
Department: Computer Science
Institution: UC Davis
Location: Davis, CA
Duration: Jun 2024 – Sep 2024
Department: Computer Science
Institution: UC Davis
Location: Davis, CA
Duration: Jun 2024 – Sep 2024
Key Responsibilities
• Built an end-to-end pipeline combining LLM-based relation extraction with GNN link prediction to generate knowledge graphs from hardware-security datasets (weaknesses, vulnerabilities, attack patterns).Undergraduate Statistics Grader - UC DavisJan 2023 – Jun 2023
Position: Undergraduate Reader
Department: Statistics
Institution: UC Davis
Location: Davis, CA
Duration: Jan 2023 – Jun 2023
Course graded: STA 103: Applied Statistics for Business; STA 106: Analysis of Variance; STA 137: Applied Time Series Analysis
Department: Statistics
Institution: UC Davis
Location: Davis, CA
Duration: Jan 2023 – Jun 2023
Key Responsibilities
Grading and Assistance: Graded homework, exams, and projects, providing feedback to enhance course content and improve student learning outcomes.Course graded: STA 103: Applied Statistics for Business; STA 106: Analysis of Variance; STA 137: Applied Time Series Analysis
Software Developer (R Package) - UC DavisJun 2023 - Dec 2023
Position: Software Developer (R Package)
Institution: UC Davis
Location: Davis, California, United States
Duration: Jun 2023 - Dec 2023
• Created an R package for discrimination analysis with automated EDA templates, bias diagnostics, and fair predictive modeling workflows.
• Implemented fairness metrics (statistical parity difference, equalized odds) and post-processing methods with cross-validation for linear/logistic models.
Institution: UC Davis
Location: Davis, California, United States
Duration: Jun 2023 - Dec 2023
Key Responsibilities
• Developed a package in R (with Python interfaces) called "DSLD: Data Science Looks at Discrimination."• Created an R package for discrimination analysis with automated EDA templates, bias diagnostics, and fair predictive modeling workflows.
• Implemented fairness metrics (statistical parity difference, equalized odds) and post-processing methods with cross-validation for linear/logistic models.
Data Science Intern - Cisco (Data, Insights, & Analytics Team)Jun 2023 – Sep 2023
Position: Data Science Intern
Company: Cisco
Team: Data, Insights, and Analytics Team
Location: San Jose, CA
Duration: Jun 2023 – Sep 2023
• Automated data extraction and transformation with Python scripts and Microsoft tools, reducing manual reporting time by 40%.
Company: Cisco
Team: Data, Insights, and Analytics Team
Location: San Jose, CA
Duration: Jun 2023 – Sep 2023
Key Responsibilities
• Designed interactive, scalable Power BI dashboards used in Quarterly Business Reviews to track supply-chain performance and key KPIs.• Automated data extraction and transformation with Python scripts and Microsoft tools, reducing manual reporting time by 40%.
Data Science Intern - Cisco (Global Trade Compliance Team)Jun 2022 – Sep 2022
Position: Data Science Intern
Company: Cisco
Team: Global Trade Compliance Team
Location: San Jose, CA
Duration: Jun 2022 – Sep 2022
• Led global UAT with cross-functional teams to ensure compliance and a smooth rollout; produced SOPs and training materials.
Company: Cisco
Team: Global Trade Compliance Team
Location: San Jose, CA
Duration: Jun 2022 – Sep 2022
Key Responsibilities
• Engineered a centralized support system in Smartsheet, reducing licensing costs by $25,000 annually.• Led global UAT with cross-functional teams to ensure compliance and a smooth rollout; produced SOPs and training materials.