Aravind Doma
Technology Executive | Data, Analytics & Software Engineering Leadership | Generative AI Innovator | Building Transformative Platforms
- Role
- Senior Director of Software Engineering at Fannie Mae
- Location
- Washington, DC, US
- LinkedIn followers
- 500 followers
About Aravind Doma
As a Data & Analytics Executive and Generative AI Leader, I specialize in engineering scalable solutions and crafting data-driven strategies that deliver transformative business value. With a career spanning financial services, mortgage, telecom, and professional services, I\'ve consistently spearheaded initiatives that convert complex data ecosystems into strategic assets. My leadership has directly contributed to strengthening risk management frameworks, unlocking substantial operational efficiencies, enhancing overall business performance, and generating considerable business value.My passion lies in building and leading high-performing teams to tackle ambitious challenges, particularly in cloud transformation (AWS) and the pioneering application of AI/ML, including industry-leading Generative AI frameworks. I thrive on translating cutting-edge technology into tangible outcomes, driving organizational change, and fostering a culture of innovation and data-driven decision-making.Key areas of impact include:Developing and executing enterprise data & analytics vision.Pioneering production-level Generative AI capabilities.Leading large-scale digital and cloud (AWS) transformations.Orchestrating organizational change and building product-focused teams.I\'m always eager to connect with organizations looking to leverage data and AI for strategic advantage and competitive differentiation.
Experience
Senior Director of Software Engineering
May 2015 — Present · Washington, DC, US
Education
Bowie State University
MS, Computer Science
1993 — 1995
William & Mary – Raymond A. Mason School of Business
MBA
2007 — 2008
Skills
- Program Management
- Integration
- Vendor Management
- Agile Methodologies
- Application Architecture
- Requirements Analysis
- IT Strategy
- Enterprise Architecture
- Software Development
- Business Intelligence
- Sdlc
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