Summary
Work History
Education
Skills
Customer Service AI Agent Project
Retrieval Augmented Generation Project
Timeline
Generic

Clara Sapugay

San Mateo,California

Summary

Driven software engineering intern with hands-on experience designing and developing scalable AI-powered applications and cloud-native systems. Skilled in Python, AWS services (Lambda, DynamoDB, S3, OpenSearch), and AI frameworks including PyTorch and agentic AI models. Proven ability to lead full project lifecycles—from architectural design and algorithm development to agile implementation and testing. Seeking to leverage strong technical skills and research-driven problem-solving to contribute impactful software solutions as part of a dynamic engineering team.

Work History

Software Engineering Intern

Hi Dev Mobile
San Mateo, California
07.2025 - Current
  • Collaborated with developers to design and implement mobile application features.
  • Conducted software testing to identify and resolve bugs efficiently.
  • Created and executed development strategies using deep research and AI agents.

Neuromorphic Computing Research

UCSC Neuromorphic Computing Group
Santa Cruz, California
04.2025 - Current
  • Collaborated in an undergraduate research team to design interpretable AI forecasting models capable of decomposing time series data for accurate, explainable predictions.
  • Implemented and evaluated models in Python using PyTorch, scikit-learn, and pandas, exploring methods such as Temporal Kolmogorov–Arnold Networks, and Fourier transforms.
  • Contributed across the research cycle — from literature review, experimental design, model prototyping, results analysis, and iterative refinement.

Education

Bachelor of Science - Computer Science And Applied Mathematics

University of California, Santa Cruz
Santa Cruz, CA
05-2027

Skills

  • Software development
  • Agentic software development
  • Mobile app development
  • Machine learning
  • Data analysis
  • Project management
  • Effective communication

Customer Service AI Agent Project

  • Leading the design and development of a scalable Customer Service AI Agent on AWS (Lambda, DynamoDB, S3, OpenSearch, ElastiCache) focused on efficiency, low latency, and cost optimization.
  • Creating a multi-case agentic RAG algorithm with query clustering to dynamically manage AI model usage, reducing costs while maintaining high-quality multi-step reasoning capabilities.
  • Managing the project end-to-end solo—from product requirements and architectural design to agile, test-driven development—leveraging Gemini and Claude AI models for continuous performance refinement.

Retrieval Augmented Generation Project

  • Implemented a Retrieval-Augmented Generation (RAG) system on AWS using Lambda, S3, Bedrock, and OpenSearch to enable scalable, low-latency AI-powered information retrieval.
  • Developed serverless architecture that integrates document storage, search indexing, and generative AI to deliver contextually relevant responses.
  • Optimized system performance and cost efficiency by designing modular, maintainable code in cloud-native development and serverless computing.

Timeline

Software Engineering Intern

Hi Dev Mobile
07.2025 - Current

Neuromorphic Computing Research

UCSC Neuromorphic Computing Group
04.2025 - Current

Bachelor of Science - Computer Science And Applied Mathematics

University of California, Santa Cruz

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Clara Sapugay