curriculum vitae

[Online nickname: highestpeak]

English Name: Jake

Chinese Name: [Only close friends or when necessary]

Phone: [Only close friends or when necessary]

Email: [highestpeakpublic@gmail.com]

GitHub: [https://github.com/highestpeak]

LinkedIn: [https://www.linkedin.com/in/jakezhangpeak]

Professional Summary:

Software Engineer with over three years of industry experience at Kuaishou, one of China’s top short-video platforms, specializing in Java backend development, collaborative software architecture, and large-scale distributed systems. Proven track record in performance optimization, including a major overhaul of the Operational Transformation protocol that achieved 96% reduction in processing time.

Over the past year, broadened into full-stack development through independent projects and academic work — building web applications with React, TypeScript, and WebSocket, integrating diverse APIs, and optimizing frontend performance including serialization and data parsing layers. Frequently takes the technical lead role in team projects. Comfortable working across the entire stack from backend services to frontend interfaces.

Specialized in AI application development, with hands-on experience in RAG, AI Agent frameworks, and deep integration of LLMs with product workflows. Practices AI-assisted software engineering extensively — from leveraging Claude Code and Cursor for rapid full-stack development and automated testing, to solving AI-specific engineering challenges such as LLM streaming output optimization.

Seeking to contribute to an international company while engaging in open-source and independent development.

Work Experience:

Java Backend Software Engineer
Kuaishou Technology, Beijing, China
July 8, 2021 – February 12, 2025

• Timeline:
  • June 2024 – February 2025: Integrated LLM Agents and LLM Copilot with enterprise IM tools, focusing on enhancing functionality and user experience.
  • January 2024 – June 2024: Developed an exploratory project for a generative model-based E-commerce automated customer service system.
  • January 2023 – December 2023: Optimized the data structure and collaborative algorithm of the online form editing protocol. Revamped the Operational Transformation (OT) protocol, achieving a 96% reduction in processing time (from several seconds or minutes to milliseconds) and data compression rates ranging from tens to thousands of times, depending on data characteristics.
  • January 2022 – December 2022: Led the stateless transformation of online collaborative form services, reducing single points of failure and leveraging caching to improve performance, resulting in a 99% decrease in service exceptions.
  • July 2021 – December 2021: Developed a compliance review system for public content in the online collaborative document community.
• Responsibilities:
  • Developed and maintained over 500,000 lines of backend code for online collaborative office software.
  • Managed a suite of over 50 microservices and collaborated with a backend team of 15+ and a frontend team of 50+.
  • Independently identified performance bottlenecks, researched solutions, and drove optimization initiatives end-to-end.

During this time, I received two promotions and a 50% increase in salary.

Education:

Master of Engineering Studies in Software Engineering
University of Auckland, New Zealand
March 2025 – Expected July 2026

• Relevant Courses:
  • COMPSCI 732: Software Tools and Techniques A+
  • ENVENG 702: Engineering Decision Making Aotearoa A+
  • SOFTENG 751: High Performance Computing A
  • SOFTENG 754: Advanced Software Requirements Engineering A
  • COMPSCI 725: Usable Security and Privacy Engineering A
  • SOFTENG 701: Advanced Software Engineering Development Methods A-
  • SOFTENG 761: Advanced Agile and Lean Software Development B+ (Served as Scrum Master in a real-client team project)
  • COMPSYS 726: Robotics and Intelligent Systems A-
• Academic Projects:
  • Fusion Music — Collaborative Real-Time Music Editor (COMPSCI 732): Built a multi-user real-time collaborative music editing platform as technical lead (~80% of implementation). Designed DDD architecture, implemented WebSocket-based real-time collaboration protocol, set up CI/CD pipeline (GitHub Actions), and managed deployment on DigitalOcean. Tech: TypeScript, React, Node.js, MongoDB, WebSocket, GitHub Actions. Project Page
  • Reinforcement Learning for Pokémon Showdown (COMPSYS 726): Designed and trained an RL agent for the Pokémon Showdown battle environment. Engineered a 40-dimensional state representation, shaped reward functions balancing win-rate optimization with learning stability, and analyzed trade-offs between learnability and reward alignment under partial observability and stochasticity. Tech: Python, Reinforcement Learning. Full Report
  • Thread-Safe Concurrent Priority Queue (SOFTENG 751): Designed and implemented three concurrent priority queue variants — Blocking Multi-Heap (segmented locking), Lock-Free Skip List (CAS-based), and Wait-Free Bucket Queue — each targeting a different synchronization guarantee. Conducted comprehensive correctness and performance evaluations under varying concurrency scenarios. Report received full marks. Tech: Java, concurrent data structures, JMH benchmarking. Full Report

Bachelor of Engineering in Software Engineering
Sichuan University, Chengdu, China
September 2017 – June 2021

• Honors: Outstanding Engineer
• Relevant Courses:
  • C Programming A-
  • Object-Oriented Programming A+
  • Data Structures and Algorithms A-
  • Computer Organization and Architecture A+
  • Software Engineering A-
  • Systems Programming A
  • Operating Systems A
  • Computer Networks A
  • Database Systems A
  • Software Quality Assurance and Testing A+
  • Linear Algebra A
  • Mathematical Statistics A-
  • Discrete Mathematics A-
  • Calculus B+
  • IT Industry Internship A+
• Final Year Project:
  • Title: Design and Implementation of an RSS-Based Information Aggregation System
  • Description: Developed a web-based application using recommendation algorithms and text clustering algorithms.

Personal Projects:

• Peak Assistant — An AI-powered Obsidian plugin (90,000+ lines of TypeScript) supporting multi-provider LLM integration (Claude, OpenAI, Google, Ollama), SQLite-based RAG pipeline with vector search, and real-time streaming output optimization (O(n²)→O(n)). Tech: TypeScript, React, SQLite, LangChain, Zustand.
• Collaboration Document System — Authored a technical article series documenting 3 years of collaborative document/spreadsheet engineering, well-received by the developer community. Article Series

Skills:

Technical Skills:

• Programming Languages: Java, Python, JavaScript (TypeScript), C
• Web Technologies:
  • Backend: Spring Framework, Redis, Kafka, MySQL, Elasticsearch, MongoDB
  • Frontend: HTML, CSS, React, Vue, Node.js
• Tools: Git, VSCode, Cursor, Claude Code, Docker, IntelliJ IDEA, Android Studio, Vim, Maven
• Specialized Areas: Prompt Engineering, LLM Agent Development, AI-Assisted Software Engineering, Search Solutions and RAG, Online Collaboration Solutions, Data Structure Optimization

Soft Skills:

• Technical Design for Complex Problems
• Software Complexity Control
• Technical Leadership
• Code Review

Languages:

Mandarin: Native

English: IELTS Overall 6.5 (Listening 6.5, Reading 7.5, Writing 6.0, Speaking 6.0)

Comfortable with daily professional conversations and capable of delivering prepared presentations independently. Continuously improving through academic coursework and professional interactions in New Zealand.

Community Involvement:

• Active participant in Auckland tech meetups including MongoDB Auckland Meetup and Code & Coffee, engaging with the local developer community.

Additional Information

• If you require additional references to verify my work experience or academic records, please email me at [highestpeakpublic@gmail.com], and I will provide detailed contact information and relevant details.
• For more information about me, please explore the articles under the myself tag on my blog.