Joseph Le
Software Engineer · Stanford CS
Software engineer building production-grade systems with end-to-end ownership from architecture and data modeling to deployment. I focus on writing software that is reliable, scalable, and built for the real world.
How I Work
I turn complex, data-heavy problems into clean, maintainable systems. I care deeply about architecture, performance, and clarity, designing tools that scale without sacrificing simplicity.
Beyond Engineering
Based in the Bay Area, I’m especially interested in education and social impact. I’m drawn to projects where technical depth meets meaningful, real-world outcomes.
Outside of work, I enjoy cooking, hiking, camping, music, and basketball. I value balance and curiosity and I try to bring that same care into the systems I build.
Education
Stanford University
Bachelor of Science - BS, Computer Science (Systems and AI Track)
Expected June 2027
GPA: 3.95
Teaching Assistant for CS 106B
Software Engineer at Stanford Carta Lab
Vice President of CS+SG (CS + Social Goods)
Member of Stanford ACM and Stanford AI Club
Recognition
→CS + Social Goods Fellow
→QuestBridge Scholar
→National Merit Scholar
Relevant Coursework
Where I've Been
Software Engineering Intern
@Apple ↗Incoming Full-Stack SWE Intern at Apple on the Internal Tools team.
Software Engineering Intern
@Vimes ↗Built core infrastructure for a cross-agency welfare platform, including an optimized registry database, native law enforcement system integrations, an AI-powered form completion system with LLM optimization, and a modular notification orchestration system for routing alerts across response teams.
Machine Learning Research Intern
@Neurotrack ↗Developed and evaluated machine learning models to detect and predict Mild Cognitive Impairment (MCI) and dementia from patient cognitive assessment data. Built supporting data pipelines for preprocessing, feature engineering, and model validation, contributing to ongoing research toward publication.
Software Engineer
@Carta (Stanford) ↗Developed core planning features for Stanford’s four-year course planner, building interactive workflows for scheduling and course organization. Worked closely with design and product teams to improve planner reliability, usability, and overall student experience.
CS106A/CS106B Teaching Assistant
@Stanford School of Engineering ↗Led weekly sections for small groups of students, reinforcing core concepts in programming, algorithms, and data structures. Mentored students on problem-solving strategies, code quality, and foundational software development practices.
Founding Software Engineer
@Bases Insight ↗Built the company’s core product and infrastructure end to end, architecting a production financial analysis platform used for automated valuation workflows. Owned system design across backend services, data pipelines, and deployment, establishing the foundation for scalability, performance, and long-term reliability.
Software Engineering Intern
@Jersey Mike’s Franchise ↗Built and deployed a full-stack scheduling system used by local Jersey Mike’s stores to automate workforce planning and improve day-to-day operations. Developed forecasting models and validation workflows to account for staffing constraints, demand patterns, and edge cases in real retail environments.
Data Science Intern
@Bonterra Tech ↗Developed predictive models and data pipelines to analyze donor behavior at scale, improving classification performance and supporting retention analysis. Built causal inference workflows to estimate treatment effects and inform data-driven decision making across large datasets.
Data Science and SWE Team
@Stanford Data and Mapping for Society (DAMS) ↗Integrated external datasets to support predictive modeling of maintenance needs in remote deployments for nonprofit partners. Designed and built a modern dashboard to replace a legacy system and improve visibility into operational performance and trends.
Software Engineering Intern
@AiGo Learning ↗Built and maintained full-stack web applications and internal tools supporting user workflows, authentication, and role-based access control. Developed backend services and automation systems that improved platform engagement and increased project submissions.
Computer Science Instructor
@Thinkland AI ↗Designed and taught computer science lessons centered on real-world projects, improving student comprehension and engagement. Mentored students in programming fundamentals and advanced concepts, fostering critical thinking and guiding them through successful project completion.
Projects
Things I've built for classes, hackathons, and fun.
Core planning system used by Stanford students to organize courses across a four-year academic timeline. Contributed to building reliable, interactive workflows for scheduling, constraints, and state management as part of the engineering team.
Personal portfolio designed and built to showcase projects, experience, and writing with a focus on clarity, performance, and thoughtful design. Serves as a living system that evolves alongside my work.
End-to-end financial analysis platform powering automated valuation workflows, including DCF, comps, and three-statement modeling. Built the company’s core product and infrastructure with an emphasis on scalability, performance, and correctness.
AI-powered grant writing assistant built to help nonprofits draft applications more efficiently using retrieval-augmented generation. Developed for Project Homeless Connect with a focus on usability, accuracy, and real-world impact.
Multilingual machine learning model for predicting emotion intensity across 11 languages, developed for SemEval 2025 Task 11 Track B. Focused on applied modeling, evaluation, and robustness under real benchmark constraints.
Data-driven analysis of California wildfires and their impact on home insurance markets, examining non-renewals and reliance on the FAIR Plan. Explores how fire severity and risk shape long-term insurance outcomes.