I am Lijun Pu, a seasoned solution architect and AI engineer with 20 years of experience translating government and financial industry needs into robust, full‑stack solutions.
I am Lijun Pu, a seasoned solution architect and AI engineer with 20 years of experience translating government and financial industry needs into robust, full‑stack solutions. I design and implement enterprise-grade apps in secure, scalable environments using cloud, REST APIs, container orchestration, and AI-powered models. I thrive on delivering practical SDLC practices, guiding stakeholders, and producing architectures that scale with complex data and high availability requirements.
Use ChatGPT to build a Monte Carlo simulation showing why market makers profit while most investors lose:
Business Insights from Monte Carlo (1000 simulations):
Identify client problems, perform business analysis, define requirements, and design prototype applications to demonstrate IBM solutions. Prepare executive-facing documents and guide delivery teams through short SDLC cycles in cloud/hybrid environments.
Lead AI/SDLC projects for government and financial clients. Built Monte Carlo simulations in Java(Spring) and Python; applied pre-trained AI models to predict outcomes; refined source code quality and leveraged predictive analytics to discover patterns in simulation data.
Identified client problems and performed business analysis to define requirements; designed and developed prototype applications within short SDLC timeframes using suitable technologies; prepared executive, management, business analyst, technical architect, and developer documentation; demonstrated IBM solution ideas in prototype applications to customers, contributing to winning contracts.
Not finished
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