About
Highly skilled and results-oriented Computer Science student at Harvey Mudd College (Class of 2026), specializing in AI/ML, embedded systems, and human-centered design. Proven experience in deploying advanced LLMs, multimodal models, and energy-efficient TinyML pipelines on IoT devices within fast-paced startup and enterprise environments. Successfully automated compliance workflows at Dell, reducing inquiry time by 30% and boosting team productivity by 20%. Led ML chatbot development for EPA regulation compliance, impacting 200+ companies. Proficient in PyTorch, Hugging Face, OpenAI API, and edge ML, with a strong commitment to developing scalable, ethical, and human-centered AI solutions.
Work
Summary
Contributed to software development initiatives within a financial technology environment, focusing on enhancing system efficiency and data processing capabilities.
Highlights
Developed and optimized software components to support financial data analysis platforms.
Collaborated with engineering teams to implement new features and improve existing systems.
Summary
Automated internal compliance workflows using advanced AI/ML techniques, significantly improving operational efficiency and data management.
Highlights
Deployed a local LLM chatbot (Mistral AI, LLaMa.cpp, Qdrant) that reduced compliance inquiry time by 30%.
Improved team productivity by 20% through identifying process inefficiencies using empathy mapping.
Centralized compliance data with MongoDB and implemented automated context-based retrieval for 39 internal units.
Summary
Led the development of LLM-powered solutions for regulatory compliance, enhancing data parsing and reporting for a wide range of companies.
Highlights
Led LLM chatbot development for EPA regulation parsing, boosting compliance for over 200 companies.
Integrated OpenAI API and Azure ML to automate risk assessment and reporting processes.
Summary
Developed and deployed generative AI tools to streamline workflows and create innovative solutions, significantly reducing manual effort and enhancing user engagement.
Highlights
Reduced manual task time by 90% through the automation of workflows using generative AI tools.
Designed and built a bias-aware mental health chatbot, increasing user engagement by 15%.
Created an auto-newsletter platform utilizing Notion, Sheets, and Zapier to streamline communication and content distribution.
Volunteer
Sparkathon (Design Thinking Case Competition)
|President
Summary
Led a design thinking case competition, fostering innovation and problem-solving skills among participants.
Highlights
Oversaw the planning and execution of the annual design thinking competition.
Mentored teams in applying human-centered design principles to complex challenges.
Notion
|Campus Leader
Summary
Promoted and supported the use of Notion within the campus community, facilitating workshops and resource sharing.
Highlights
Organized workshops and training sessions to enhance Notion proficiency among students.
Acted as a liaison between Notion and the student body to gather feedback and promote platform features.
RCLIE Innovation & Entrepreneurship
|Fellow
Summary
Participated in an innovation and entrepreneurship fellowship, focusing on developing new ventures and solutions.
Highlights
Engaged in ideation and prototyping for innovative startup concepts.
Collaborated with cross-disciplinary teams on entrepreneurial projects.
Languages
English
Native
Skills
Programming Languages
Python, C++, Java, R, SQL, JavaScript, Bash, HTML/CSS, C.
AI/ML Frameworks & Tools
PyTorch, Scikit-Learn, XGBoost, Hugging Face, SBERT, OpenAI API, LLaMa.cpp, Qdrant, TinyML.
Data & Systems
Azure ML, REST APIs, Docker, Git, MongoDB, MySQL.
Embedded Systems
ESP32, ESP-IDF, ADC Monitoring.
Design & Tools
Figma, Human-Centered Design, Linux CLI, Notion, Sheets, Zapier.