Jason Yu

San Francisco, California

Experience

DoorDash, Inc.

Senior Software Engineer
Aug 2019 - Present · 5 yrs 10 mos San Francisco Bay Area

Senior Software Engineer (E5)

Aug 2023 - Present · 1 yr 10 mos

• Lead key initiatives on the Merchant Finance & Tax Platform, improving payment accuracy and transparency for multi-million daily transactions.

• Boosted platform reliability through automated anomaly detection, CI/CD improvements, and adoption of a modern testing framework.

• Streamlined tax reconciliation and reporting, enhancing the customer experience for merchants.

• Mentored junior engineers via code/design reviews and technical coaching, improving team effectiveness and growth.

Software Engineer (E4)

Apr 2021 - Aug 2023 · 2 yrs 5 mos

• Delivered 8+ core finance/tax products in collaboration with 5+ cross-functional teams annually.

• Wrote 50+ internal technical guides, playbooks, and wikis to support engineering operations.

• Proactively led security assessments, uncovering and remediating vulnerabilities across 4+ teams.

• Mentored interns, helping bridge academic learning with real-world engineering practices.

Software Engineer (E3)

Aug 2019 - Apr 2021 · 1 yr 9 mos

• Founding member of the Merchant Finance Platform team; built the platform from the ground up.

• Spearheaded a successful 1.5-year migration from monolith to microservices, reducing system complexity and improving scalability.

• Resolved critical finance bugs and reconciled historical data to meet IPO compliance requirements.

Aug 2019 - Present · 6 yrs San Francisco Bay Area

Undergraduate Lab @ Berkeley

Jul 2018 - Dec 2018 · 6 mos University of California, Berkeley
Academic Intern

• Developed and deployed interactive Python tutorials using Jupyter Notebooks, enabling real-time collaboration between students and resulting in a 40% increase in student engagement.

• Architected and implemented a secure student portal using Flask Framework, featuring SSO authentication, role-based access control, and personalized dashboards serving 500+ active users.

• Led security assessment initiatives including penetration testing, identifying and patching 3 critical vulnerabilities before deployment.

Jul 2018 - Dec 2018 · 6 mos University of California, Berkeley

University of California, Berkeley

Jun 2018 - Dec 2018 · 7 mos University of California, Berkeley
Lab Assistant (Department of EECS)

• Led weekly Java programming lectures and interactive Q&A sessions for 50+ students, maintaining a 95% attendance rate across 9 weekly contact hours.

• Designed and delivered a comprehensive curriculum covering data structures, algorithms, and dynamic programming, resulting in an 85% average improvement in student assessment scores.

• Mentored 40+ students through hands-on labs and projects, providing detailed code reviews and personalized feedback that helped achieve a 90% project completion rate.

Jun 2018 - Dec 2018 · 7 mos University of California, Berkeley

Education

University of California, Berkeley

Class of 2019
B.A. Computer Science

Completed Coursework

Computer Science

• Assembly Language Programming
• Advanced Programming with C & C++
• Computer Security
• Structure and Interpretation of Computer Programs
• Software Engineering
• Operating Systems and System Programming
• Program Design and Data Structures
• Introduction to Database Systems
• Introduction to Artificial Intelligence

Algorithms

• Discrete Mathematics and Probability Theory
• Efficient Algorithms and Intractable Problems

Data Science

• Concepts in Computing with Data
• Principles & Techniques of Data Science

Projects

Jun 2025 · Personal Project
• Developed an AI-powered web scraping tool that extracts structured data from websites by learning patterns from user-provided examples.
• Built full-stack application with Next.js frontend using TailwindCSS and shadcn/ui, paired with FastAPI Python backend for robust data processing.
• Implemented intelligent pagination discovery and anti-bot handling using Selenium for JavaScript-heavy sites and custom headers for basic protection bypass.
• Integrated OpenAI API for pattern matching and data extraction, enabling users to crawl up to 10 pages with keyword filtering and JSON output formatting.
Dec 2024 · Personal Project
• Built an AI-powered tool to help new graduates and engineers master LeetCode-style technical interview questions with real-time screen capture and automated solution generation.
• Implemented OCR text extraction using Tesseract.js and integrated OpenAI & DeepSeek APIs for intelligent problem analysis and solution generation.
• Developed full-stack application with React, TypeScript, Vite frontend and Node.js backend, featuring markdown rendering for clean solution presentation.
• Created seamless screen sharing workflow using browser APIs to capture coding challenges from any application without external dependencies.
Nov 2018 · University of California, Berkeley
• Achieved 1st place in the Cisco API Challenge at CalHacks 5.0 (UC Berkeley), competing among 1,500+ participants, by developing an AI-powered library occupancy monitoring system.
• Designed and implemented a computer vision solution using ImageAI, OpenCV, and YOLOv3, attaining 95% accuracy in real-time detection of occupancy and seating availability.
• Built an end-to-end data pipeline to deliver real-time occupancy analytics integrated with a chatbot system.
• Developed a chatbot using the Cisco WebEx API and NLP techniques to automate seat availability notifications, reducing estimated student wait times by 70%.
Secure File Store System (Go)
Mar 2018 · University of California, Berkeley
• Created Secure File Storage System that supports secured login, secure file storing and sharing
• Securely encrypted files using CFB Encryption and guaranteed its integrity by HMAC
• Guaranteed the secured file sharing using RSA encryption and signature scheme
• Perfectly protected users' credentials and files against 500+ automated attacks
Bear Maps (Java, Maven)
Oct 2017 · University of California, Berkeley
• Built a scalable Berkeley map that supports prefix matching search and navigation
• Optimized the route selection by using A* search algorithm (improved the runtime by 53%)
• Improved space and runtime complexity with prefix matching feature by using Trie
Verbal Clap (Python)
Sep 2017 · Personal Project
• Suggested the optimal voice tone obtained from speech dataset trained by Softmax Regression
• Provided the list of words for the better speech quality using Oxford Dictionaries API and script dataset
Yelp Maps Project (Python)
Aug 2017 · University of California, Berkeley
• Predicted the restaurants' ratings based on the users' reviews using the Linear Regression and Yelp academic dataset
• Visualized the rating distribution on the Google Maps using the Voronoi algorithm
• Clustered the preferred restaurant distribution using the k-means algorithm

Interests

  • Camping
  • Teaching
  • Cooking
  • Badminton
  • Mindfulness
  • Photography
  • Coffee
  • Tea
  • Running
  • Rock Climbing