About Me

I build and ship enterprise AI platforms at scale.

As Director & Group Lead, Agentic AI at Appian since February 2025, I led the teams that delivered Agent Studio from beta to general availability in Appian 25.4. I combine manager-of-managers leadership with hands-on architecture and prototyping, including personally building an MCP Server prototype.

I led AI-assisted development rollout to 800 engineers in six months, personally building Terraform/AWS infrastructure and co-developing deployment controls. Previously, I led a 46-person SRE organization through a reliability turnaround and cloud-platform work serving 1,200+ enterprise customers across 21 regions.

Explore the two current resumes →

• Led the teams that delivered Agent Studio from beta to GA. Restructured four teams using Team Topologies and shared API boundaries for parallel delivery.
• Scaled AI-assisted development across an 800-person engineering org — built the Terraform/AWS infrastructure myself.
• Rated "Exceptional" (top 15%) in the 2025 and H1 2026 review cycles. Appian Impact Award in December 2025 for cross-organizational AI adoption.
• 10+ years of cloud and AWS experience; AWS Solutions Architect – Professional credential earned June 2017
• Led five-squad groups of approximately 50 direct and indirect reports; zero regretted attrition during my SRE tenure
• MS Computer Science, Georgia Tech — Machine Learning and Computing Systems focus, 4.0 GPA; completed December 2024 while working full-time
• One of the first engineers on Appian's Cloud Platform team in 2014. Led monolith-to-cloud-native migration (2022-2023) serving 1,200+ enterprise customers.
• Completed Appian MBA — an invite-only senior leadership development program.

Technology Skills

• AI platforms — Led enterprise agent delivery; co-developed architecture for memory, guardrails, MCP, execution, and tools. Hands-on prototyping, API design, and AI-assisted development.
• Graduate machine-learning projects — supervised and unsupervised learning, randomized optimization, and custom reinforcement-learning solvers
• Cloud engineering — AWS, Kubernetes, Terraform, Java, SQL, observability, secure migration tooling, and operational automation.
• BSc. Computer Engineering, Georgia Tech — 2014
• Software — Python, Java, C/C++/C#
• Public GitHub Contributions
• Strong foundations and extensive experience with Networking, Security, Computer Architecture and Algorithms.

Background

• Graduated from Georgia Institute of Technology with an MSc in Computer Science and BSc in Computer Engineering.
• I am extremely passionate about new technologies and love innovating.
• Enjoy scuba diving, traveling, taking part in volunteering organizations, photography and meeting new people.

Values and Principles

• Time and Change
• Happiness of Individuals/People Around Me
• Personal Health
• Pure Honesty
• Hard Work
• Mistakes and Failures
• Best Ideas Win and Meritocracy
• Life