San Francisco Bay Area
I turn messy business processes into production agentic systems. I am AI Engineer with MBA degree who ships agentic systems that do real work end-to-end. At Pitsco company I built a multi-agent RFP platform — agentic web-search discovery, an MCP product-matching layer with hybrid RAG (pgvector + RRF), multi-modal proposal generation, and a real-time voice agent — surfacing 4× more qualified opportunities and lifting win rate.
- Mapped core K-12 business processes end-to-end and reimagined them as a production multi-agent platform — owning it from business-process discovery to shipped AI system. - Designed and implemented the underlying AI infrastructure: structured & unstructured databases (Postgres + MongoDB), data APIs, product knowledge base and vector database, MCP tool layer, and data pipelines. - Shipped and operated the platform in production on AWS — containerized services, managed databases, SSO, and automated CI/CD — taking it from prototype to a live, secure system. - Delivered multimodal experiences across the business — customer-facing (a real-time voice agent) and internal process automation (multi-modal proposal generation) — driving 4× more opportunities, ~50% faster matching, and a higher win rate.
1. Explored Azure AI, Copilot 365, and cloud computing to enhance automation and secured knowledge, network and server management. 2. Applied LAN/WAN infrastructure setup and Sophos firewall configuration to strengthen network security. 3.Joined the Chamber of Commerce to explore autonomous AI applications in real-world business scenarios.
1. Supported 4 professors and 100+ students in Java, Python, AI, and Data courses, enhancing learning outcomes through academic and technical assistance. 2. Job Market Analytics: Engineered an automated workflow with Selenium and leveraged GPT-3.5 Turbo to extract data analyst skills from 2,000+ job postings, delivering actionable insights to guide curriculum design. 3. FinTech Stock Trend Prediction Research: Applied LSTM with sentiment analysis to predict stock trends, validating the impact of sentiment tense on market movements.
1. Startup Leadership: Led project strategy, operations, and investment as the legal representative; transformed an early-stage concept into a scalable business model under China’s National Innovation and Entrepreneurship Program. 2. Partnership Development: Built and maintained long-term relationships with suppliers and student clients, ensuring efficient delivery, quality control, and improved customer retention. 3. Data-Driven Education Platform: Developed the “Smart Campus – Personalized Learning” platform using the C4.5 algorithm to recommend career paths and learning resources; attracted 900+ followers and generated ¥100K+ in revenue. 4. Digital Marketing & E-Commerce: Founded the “Enjoy PolyTech” WeChat mini-program for campus retail digitization; led design, marketing, and supply chain operations, achieving ¥24K+ sales, 110+ orders, and 906 users within 20 days; awarded National Third Prize in the Innovation Method Competition.
Building multi-customer channels for company products Planning and implementing customer-centric marketing campaigns