# Wei Wu > Leading AI Innovations in legal practice | Founder of Leazy.AI | ML Engineer @LI Location: Mountain View, California, United States Profile: https://flows.cv/weiwu Dr. Wu is dedicated to leveraging AI to empower small and medium-sized businesses (SMBs) and drive transformative change across industries. As the CEO and Founder of Roundblock Technology, he leads the development of Leazy AI, an advanced platform that simplifies and automates complex immigration workflows. His vision is to bring AI-driven efficiency and innovation to traditionally complex processes, making them more accessible and scalable for businesses of all sizes. In addition to his entrepreneurial role, Wei serves as a Staff Data Scientist at LinkedIn, where he applies cutting-edge data science techniques to enhance user experiences and drive product growth. His expertise spans deep learning, natural language processing (NLP), causal inference, predictive analytics, and large-scale data modeling. ## Work Experience ### Staff Software Engineer @ LinkedIn Jan 2022 – Present | Sunnyvale, California, United States ### Senior Data Scientist @ LinkedIn Jan 2019 – Jan 2022 | Sunnyvale, California ### Founder & CEO @ Roundblock Jan 2022 – Present | San Francisco Bay Area Create AI solutions that empower SMBs to succeed in an increasingly competitive market. ### Director of Data Science @ Albeado Jan 2019 – Jan 2019 | 4655 Old Ironsides Dr, # 260, Santa Clara, CA 95054 ### Lead Data Scientist @ Sprint Jan 2016 – Jan 2019 | 6550 Sprint Parkway, Overland Park, KS 66251 • Leading a cross-functional team to deliver network analytical projects. Overseeing the resources, methodologies, deliverables as well as executive communications. Managed to successfully deliver multiple projects meeting tight timelines, which drives multiple business strategies such as network prioritization, churn reduction initiatives, etc. • Successfully operationalized customer mobile network experience model to transform Sprint into CX-driven decision-making strategy. QoE-oriented projects such as targeted base treatment and network build optimization lead to significant churn reduction. • Developed QoE (Quality of Experience) which utilizes multivariate logistic regression and penalized weighing model to translate rich network data into scores that indicate churn propensity. Designed the overall methodology and algorithms for initial and evolving models. • Operationalized QoE in production with multiple upstream data sources. Managed to accomplish complex data validations and deliver results to business units meeting stringent SLA. • Successfully transformed multi-billion network buildout plan into QoE and churn projections. Strategized QoE as one of the metrics for company-wide STI. • Providing key insights to C-level executives on a regular basis and drive actions to improve customer experience and drive retention strategy accordingly. Initiated and supported multiple QoE-oriented projects such as roaming policy adjustment and targeted base treatment, leading to significant churn reduction. ### Business Analyst / Project Manager @ Sprint Jan 2011 – Jan 2016 | 6550 Sprint Parkway, Overland Park, KS 66251 • Leading network customer analytics team to develop and manage real-time systems to detect and prioritize network events based on customer feedback such as calls to care or performance data. • Successfully operationalized Call Detector tool at 24X7 network operations center to automate network event detection process, which lead to an annual saving of $20M OPEX by reducing customer tickets. • Leading analytical projects to quantify the impact of network performance on customer metrics. • Discovering ways to transform data into information that helps operate the network. • Collaborating with a cross-functional team of data providers, business analysts, and engineers. ### Graduate Teaching Assistant / Graduate Assistant @ University of Missouri-Kansas City Jan 2008 – Jan 2011 | Kansas City, Missouri Area • Lecturer • Statistical research in various fields ## Education ### Doctor of Philosophy (PhD) in Statistics University of Missouri-Kansas City ## Contact & Social - LinkedIn: https://linkedin.com/in/wei-wu-us --- Source: https://flows.cv/weiwu JSON Resume: https://flows.cv/weiwu/resume.json Last updated: 2026-04-12