Randy Geszvain
Building Scalable, Interdisciplinary AI Systems | AI/ML Software Development Leader | PhD Researcher
- Role
- Sr Ai Ml Engineering Manager Tech Lead at FIS
- Location
- Milwaukee, WI, US
- LinkedIn followers
- 500 followers
About Randy Geszvain
As a data engineering architect at FIS, I apply my big data, cloud, and software development expertise to build scalable and robust data platforms and solutions. I have years of experience in data and software engineering, working with various technologies such as AWS, Databricks, Snowflake, Docker, Kubernetes, Airflow, and programming languages like Python, Java, Scala, and JavaScript.My passion for data science and machine learning is not just a professional interest but a personal one. I am pursuing a Ph.D. in Information Science, focusing on machine learning and analytics. I hold a Master of Science in Applied Data Science, a MicroMaster in Statistics and Data Science, and a Master of Business Administration in Business Strategy. I have used machine learning and statistical modeling techniques to develop algorithms for business trend analysis and personal projects, such as time series, sentiment analysis, and statistical analysis.I aim to leverage my skills and knowledge to create innovative and impactful big data solutions that can enhance the performance and value of FIS and its clients. I am always eager to learn new technologies and tools and to collaborate with diverse and talented teams. Teamwork, communication, and continuous improvement are the critical elements for success in any project.
Experience
Sr Ai Ml Engineering Manager Tech Lead
Feb 2025 — Present · US
AI Team LeadArtificial intelligence and machine learning projectsAgentic AI framework and AI automation. Transforming Fintech with AI. FIS InnovateIn48 finalists
Education
University of Wisconsin-Milwaukee
Doctor of Philosophy - PhD, Information Science/Studies
Cardinal Stritch University
Master of Business Administration (M.B.A.), Business Strategy
2015 — 2017
Syracuse University
Master of Science (M.S.), Applied Data Science
2017 — 2020
University of Colorado Boulder
Master of Science - MS, Computer Science
MITx Courses
MicroMaster, Statistics and Data Science
2020
Skills
- Human Resources
- Chempax
- Supply Chain Management
- Fabric Production Knowledge
- Microsoft Word Kenexa® Score 93
- Filemaker/Access Data Base Building Skill
- Customer Service
- Sas
- Procurement
- Microsoft Excel Kenexa® Score 100
- Accounting
- Microsoft Excel
- Powerpoint
- International Business Experience
- Program R
- Tableau
- Forecasting
- Sql
- Project Management
- Business Process Improvement
- Fashion
- Sourcing
- Inventory Management
- Communication Skill
- Supply Chain
- Strategic Planning
- Microsoft Word
- Team Leadership
- Business Strategy
- Teamwork
- Team Management
- Negotiation
- Management
- Team Building
- Merchandising
- Retail
- Leadership
- Purchasing
- Microsoft Office
- Sales
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