Where I've worked

IBM Verify · Remote

Jun 2026 – Present

Building agentic AI for enterprise identity security on the IBM Verify team.

• Develop agentic AI applications that automate identity risk analysis by combining LLMs with automated reasoning to strengthen enterprise security decisions.
• Build scalable Python services, APIs, and data pipelines for large-scale security analytics.
• Quantitatively evaluate and optimize AI systems for latency, accuracy, and reliability.

• Python
• LLMs
• Automated Reasoning
• APIs

Inspirit AI

Jun 2026 – Present

• Teach Python, machine learning, and AI concepts to high school students through project-based instruction.
• Mentor students in designing and implementing end-to-end AI projects with real-world datasets.
• Provide technical guidance on model development, evaluation, and optimization.

• Python
• Machine Learning
• AI

Develop for Good · Stanford, CA

Oct 2025 – Feb 2026

Led an accessible, cognitive-friendly website redesign for ABI patients and caregivers.

• Led end-to-end redesign of an accessible, cognitive-friendly website for ABI patients and caregivers.
• Defined product requirements, user flows, and feature scope, iterating with nonprofit stakeholders.
• Coordinated design and low/no-code implementation across a team of engineers and designers.
• Partnered with Brain Injury Connection to deliver an intuitive resource platform aligned with its mission and user needs.

Gordian Knot Center for National Security Innovation · Stanford, CA

Sep 2025 – Jun 2026

Founded and led a biosurveillance "digital immune system" research project.

• Designing a biosurveillance "digital immune system": AI/ML anomaly detection, multimodal data fusion, and real-time streaming analytics for early-warning of outbreaks and biodefense threats.
• Shipped a prototype pipeline and dashboard on synthetic datasets using Python, SQL, time-series modeling, and ETL, tracking latency and precision/recall KPIs.
• Deployed a secure, fault-tolerant data infrastructure with containerized services, API gateways, and automated recovery for resilient biosecurity signal processing.

• Python
• SQL
• Time-Series Modeling
• ETL
• Containerization

Medtronic Diabetes · Los Angeles, CA

Jun 2025 – Aug 2025

Automated test workflows and analytics for a next-generation blood-glucose analyzer.

• Automated in-vitro test data collection and visualization with Python and REST APIs for a new glucose analyzer.
• Built benchmarking tools to evaluate device performance using statsmodels and scikit-learn for statistical and regression analysis.
• Integrated Python with Minitab for repeatable analyses (DOE, ANOVA, regression) and streamlined workflows via secure ETL pipelines and Git-based version control.

• Python
• REST APIs
• statsmodels
• scikit-learn
• Minitab
• Git

Stanford Marsden Cardiovascular Biomechanics Lab · Stanford, CA

Feb 2025 – Present

Fontan hemodynamics & AVM-risk research using 4D Flow MRI.

• Build a Python data pipeline to extract and quantify hepatic flow metrics from 4D Flow MRI using NumPy, SciPy, and Matplotlib.
• Apply signal processing and pattern recognition for AVM biomarker detection, with statistical validation and visualization in Seaborn and Plotly.
• Automate benchmarking with Git/GitHub, Bash, and CI/CD for reproducible research pipelines.

• Python
• NumPy
• SciPy
• Matplotlib
• Seaborn
• Plotly

Stanford Medicine — Medical Kiosk · Stanford, CA

Jan 2025 – Present

Kiosk software to expand healthcare access in underserved communities.

• Build multilingual intake and symptom-check modules with REST APIs, SQL backends, and secure HIPAA-compliant data pipelines.
• Integrate medical-device APIs with Dockerized microservices for scalable deployment and synchronization.
• Collaborate with clinicians and engineers to refine UX through user feedback loops and iterative A/B testing.

• Python
• REST APIs
• SQL
• Docker
• Microservices

Stanford University · Stanford, CA

Sep 2024 – Present

• Foster a positive, inclusive, and supportive residential community by building meaningful connections with residents.
• Plan community programming and serve as a first point of contact for student support and resources.

Stanford Department of Medicine · Stanford, CA

Jun 2024 – Aug 2024

• Mentored high-school scholars in a Stanford lab on hands-on biomedical research.
• Taught core techniques (histology, imaging, immunohistochemistry) and coached experimental design and data analysis.
• Guided students to a final presentation showcase while fostering an inclusive, curiosity-driven environment.

Stanford Alternative Spring Break · Stanford, CA

May 2024 – Jun 2025

Elected Financial Officer of Stanford's second-largest Volunteer Service Organization (10 trips, ~100 participants, 20 co-leads).

• Oversaw budgeting, fundraising, and financial sustainability across the organization's 10 service trips.
• Co-led the Affordable Lifeline trip to Alaska, designing the curriculum and program to explore healthcare access in remote environments.
• Managed finances and logistics and facilitated hands-on service projects examining rural healthcare challenges.

Stanford University School of Medicine · Stanford, CA

Apr 2024 – Present

• TA for BIOE 122, “Biosecurity and Pandemic Preparedness.”
• Support instruction by facilitating discussions, guiding student projects, and providing feedback.

Stanford Computer Science Department · Stanford, CA

Sep 2023 – Jun 2026

• Led weekly small-group sections mentoring beginner CS students in programming and problem-solving.
• Held office hours in C++, Python, and JavaScript; helped students debug and improve code design in 1:1 meetings.
• Collaborated with instructors to align teaching strategies with curriculum goals.

• C++
• Python
• JavaScript

Stanford Fallacy Detection CS Research Project · Stanford, CA

Jun 2023 – Dec 2023

Benchmarked large language models for logical-fallacy detection.

• Benchmarked LLMs for fallacy detection and built baselines in Python (transformers, scikit-learn) with precision/recall/F1 reporting.
• Curated datasets and prompts; implemented ETL, feature engineering, and reproducible evaluation pipelines.
• Co-developed a fallacy detector and ran ablation studies and error analysis to refine model design.

• Python
• Transformers
• scikit-learn