Jiaqi Wen

 

 

📞 (+49) 015128823586

✉️ [email protected]

 

🌐 wenjiaqi.top

👩‍💻 github.com/wenjiaqi

📍 Munich

Professional Summary

Core Competencies

Key Achievements

• TUMSelect Elite Network Member - Top 10% academic performers at TUM

• 160% GMV Growth - Led platform transformation at 100M+ user travel platform

• 5+ Shipped Applications - Full-stack products with real user adoption

• 27.56% Portfolio Returns - ML-driven investment strategy (15.2% above benchmark)

• Google ADK Hackathon - Built multi-agent data trading platform in 48 hours

Professional Experience

• Led strategic pivot from booking tool to travel platform based on user research with 30+ interviews

• Redesigned core UX using "time-first" paradigm, increasing conversion from 8.7% to 19.2% (above industry 15-20%)

• Drove 160% GMV growth and secured Series B funding (3x valuation increase) through product strategy

• Built resource allocation algorithm that improved new coach retention by 53% and reduced income inequality by 35%

• Managed cross-functional team of 12 people (product, design, tech, ops) using agile methodology

• Shipped "Simulation Exam Scratch Pad" - achieved 47% adoption rate and 42% retention improvement through user research

• Created user segmentation framework (2x2 matrix) that became company standard for product planning

• Launched IP branding strategy ("小鲸" character) that increased first-week retention by 12 percentage points

• Designed A/B testing framework for feature validation - prevented resource waste on low-value initiatives

• Collaborated with 8-person dev team to implement AI-powered practice mode with real-time feedback

Technical Projects

• Built end-to-end automated data marketplace using Google Agent Development Kit and Gemini 2.0

• Achieved 85% matching accuracy for natural language data requests through semantic understanding

• Implemented A2A protocol for cross-agent communication with 95% success rate

• Reduced data acquisition time from days to minutes through intelligent agent coordination

• Solved "8-hour daily job search" problem with full automation pipeline processing 1000+ jobs daily

• Built AI-powered matching system (Google Gemini) achieving 80%+ relevant job recommendations

• Developed novel matching algorithm addressing German market's "hidden requirements" (language/culture fit)

• Generated personalized cover letters with 20% higher response rates compared to generic applications

• Created interactive learning experience serving 50+ active users with multi-language support

• Implemented asynchronous architecture handling concurrent sessions with 2s response time

• Integrated Microsoft Edge TTS for immersive audio experiences and conversation practice

• Designed modular system allowing easy addition of new languages and learning scenarios

• Developed guided visualization app using Next.js 14 and OpenAI integration

• Built conversational AI flow with multi-turn dialogue for personalized scenario exploration

• Implemented user data persistence with Vercel Postgres for session continuity

• Created responsive design optimizing for mobile-first user experience

Education

• GPA: 1.6/5.0 (German system; equivalent to 3.4/4.0 US, top 15%)

• Relevant Coursework: Introduction to CS (1.0), Machine Learning (1.0), Business Analysis (1.7)

• Research Project: Led 3-person team building ML portfolio optimization model (Sharpe ratio: 1.87)

• GPA: 84/100 (top 20%) Developed "Echo Diary" behavioral research mini-program

Languages & Additional