Enoch Daniel is an engineering leader and AVP of Data and Applied AI with 15+ years delivering secure, scalable SaaS platforms across GovTech, FinTech, and healthcare. He bridges executive strategy and hands-on architecture, scaling cloud platforms on AWS/Azure while enforcing a security-first posture and cost-efficient operations. Known for building high-trust teams, he mentors senior talent, standardizes delivery metrics, and drives predictable outcomes through data-driven reporting and Agile at scale. Recently focused on GenAI (meeting summarization, RAG-based Text-to-Query) and Agentic AI integrations, he moves research prototypes into production-grade systems. His background as a software architect and developer informs pragmatic decisions from CI/CD automation to distributed workers and enterprise search. Based in Greater Orlando, he pairs academic rigor in information technology with a track record of translating complex regulatory and customer-facing requirements into auditable, reliable software.
9 years of coding experience
15 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at SRM University
Master of Science (M.S.) Information Technology, Master of Science (M.S.) Information Technology at Loyola University Chicago
Contributions:3 PRs, 7 pushes, 2 branches in 1 year 7 months
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