Experience

My journey through ML research, software engineering, and continuous learning.

Work

Undergraduate ML Research Assistant

September 2025 - Present

Shah Lab - UCLA

Engineering ML pipelines to streamline segmentation of C. elegans embryo fluorescence microscopy data. Training and scaling deep learning models on ~500,000 frames to push accuracy beyond current 95% baseline. Advancing segmentation performance through model refinement and optimization. Driving breakthroughs in computer vision for developmental biology, facilitating faster and more precise analysis of neuronal circuit formation.

PyTorchComputer VisionDeep LearningPythonML Pipelines

Software Engineering Intern

June 2025 - September 2025

App-Scoop

Assisted in developing an AI-powered LinkedIn automation platform, boosting user presence scores by up to 40%. Optimized React components and RESTful Node.js endpoints for a social media scheduling dashboard, improving productivity by 20%. Integrated and fine-tuned transformer and scikit-learn models for post generation, caption suggestions, and content categorization. Developed a Dockerized microservice for on-demand model inference with load-balancing, and established CI/CD pipelines with GitHub Actions.

ReactNode.jsDockerAI/MLCI/CDTypeScript

Education

Computer Science and Engineering, BS

Expected June 2027

University of California, Los Angeles (UCLA)

Minor in Data Science

Focused on machine learning, software engineering, and data structures. Active member of ACM AI, building projects that push the boundaries of modern technology.

Relevant Coursework

Object-Oriented ProgrammingData Structures and AlgorithmsComputer OrganizationSoftware ConstructionLogic Design of Digital SystemsDiscrete Structures