My Experience
Here's a timeline of my professional journey, educational background, and research experience.
Research Assistant
University of California, Los Angeles, Los Angeles, CA, USA
May 2025 - Present
- Analyze the performance of various LLM models on coding, question-answering, and reasoning tasks
- Design a framework to enable simultaneous reasoning and tool use for AI agents
- Contribute to the open-sourcing of 'Prism', a project for cost-efficient multi-LLM serving through GPU sharing
Skills
LLM ResearchAI AgentsPerformance AnalysisGPU OptimizationFramework Design
Research Assistant
University of Edinburgh, Edinburgh, UK
June 2024 - May 2025
- Investigating university guidelines on the privacy and security of generative AI in academia
- Collected and preprocessed over 100 data samples on university AI guidelines using Python for data cleaning and classification
- Established a standardized data annotation workflow using AI tools, annotating over 20 samples and increasing efficiency by 30%
Skills
PythonData PreprocessingAI ToolsResearchPrivacy & Security Analysis
Teaching Assistant
University of Edinburgh, Edinburgh, UK
September 2023 - December 2023
- Guided over 50 students, simplified complex concepts for enhanced comprehension
- Adapted teaching strategies based on student feedback, improving the clarity and effectiveness of instruction
- Contributed to students' ability to understand and apply computation principles effectively, as evidenced by positive feedback and improved course performance metrics
Skills
TeachingCommunicationProblem SolvingComputer Science Concepts
Exchange Student
University of Southern California, Los Angeles, CA, USA
August 2024 - May 2025
- Selected for a competitive exchange program at USC's Computer Science department
- Focusing on advanced courses in software engineering, machine learning, and systems programming
- Actively participating in research opportunities and collaborative projects with USC students
Skills
Computer ScienceInternational ExperienceCollaborationAdvanced Studies
Computer Science Student
University of Edinburgh, Edinburgh, UK
September 2022 - June 2026
- Maintaining a 3.9/4.0 GPA in a rigorous computer science program
- Completed fundamental courses including Algorithms and Data Structures, Computer Systems, Data Science, and Software Engineering
- Actively participating in computer science student organizations and hackathons
Skills
Computer Science FundamentalsProblem SolvingAcademic ExcellenceTeamwork
Key Skills Gained
Technical Skills
- Programming in multiple languages (Python, C/C++, Java)
- Machine learning model development and optimization
- Distributed systems design and implementation
- Data analysis and visualization techniques
- Docker containerization and deployment
Research Skills
- Literature review and critical analysis
- Data collection and preprocessing methodologies
- Experimental design and validation
- Technical documentation and research writing
- Research presentation and communication
Soft Skills
- Effective communication and presentation
- Team collaboration and project management
- Problem-solving and analytical thinking
- Time management and prioritization
- Adaptability and continuous learning