CV
Education
- B.S. in Computer Science, University of California, Los Angeles (UCLA), 2025 (expected)
- 3.94 GPA
- Coursework: Data Structures and Algorithms, Computer Architecture, Software Construction, Algorithms and Complexity, Operating Systems, Neural Networks and Deep Learning, Linear Algebra (Honors), Formal Languages and Automata
Work experience
- Summer 2023: SWE / ML Ops Intern, AWS
- Architected flexible ingestion workflow writing over 50000 records per week to a NoSQL database at 8 abstraction levels.
- Wrote batch processing job for millions of records per day with AWS Glue and PySpark.
- Followed test-driven development to deliver production-ready code, leveraging PyTest for unit testing and JUnit for integration testing, and proposing and implementing a comprehensive suite of alarms and metrics.
- Summer 2022: Data Automation Intern, II-VI
- Rewrote SQL query generating summary data table for Epitaxial layer growth using incremental loading and indexing, improving query time by 10000%.
- Upgrade 2 legacy data collection user interfaces from asp.net to Flask-React tech stack, saving 2 hours per week and reducing IT team burden.
- Proposed merging auto-generated experimental data into a single source on AWS cloud data platform, allowing for efficient data retrieval and reducing SQL server burden by 10%.
- Feb 2022 - Sep 2022: Lead Developer, Walk
- Linked frontend pages to backend API endpoints using React Native, Django, and mySQL.
- Assembled walk summary page and UI using React Native and CSS.
- Won 2nd place out of 12 teams in startup accelerator competition.
Research
- Apr 2023 - Present: UCLA PlusLab
- Extend epidemic event extraction to low-resource multilingual settings.
- Create curated multilingual datasets for target languages through manual annotation and MTurk crowdsourcing.
- May 2022 - Present: Quantum Ethics Project
- Assess the trainability of Variational Quantum Algorithms and rank these algorithms by immediate social impact and compatibility with intermediate scale noisy devices.
- Collaborate with international group of researchers to anticipate bad uses to advise regulatory frameworks and minimize potential harm.
- Feb 2020 - Jul 2020: Pioneer Academics
- Synthesized a 31-page thesis about public reaction to COVID-19 lockdowns on Twitter with UC Berkeley’s Professor Eric Friedman (ejf@icsi.berkeley.edu).
- Programmed in Jupyter Notebook to scrape Twitter data, using Python package NodeX to process over 500,000 Tweets.
- Analyzed user reactions and interactions with sentiment analysis and network analysis, concluding a 200% increase in negative reaction to lockdowns, and isolation of strongly opinionated communities.
Organizations
- Sep 2021 - Present: Projects Officer, UCLA ACM AI
- Applied data augmentation, regularization, and transfer learning to classify Cassava leaves, improving training accuracy to 85%.
- Collaborate with team of 5 officers to construct new projects track, classifying Quora insincere questions using contextual embeddings,recurrent neural architectures, and transformer-based models such as GPT-2 and BERT, achieving top recall of 88%.
- Jan 2022 - Jun 2022: Game Developer, UCLA ACM Studio
- Develop in team of 12 for student-led top down adventure-style video game “Wisp”.
- Build game interface and symbol recognition system in C# and Unity.
- Use reinforcement learning to develop 4 Hero Artificial Intelligence models.
Skills
- Languages: Python, C++, Javascript, Java, Bash
- Technologies/Frameworks: Pytorch, Tensorflow, Qiskit, Pennylane, Express JS, Flask, Git, Microsoft SQL Server, AWS Cloud tools
Publications
