AI-Driven Engineering Lead
M.S. Computer Science
I'm an AI-Driven Engineering Lead with over 13 years of experience in distributed systems, microservices, and cloud technologies. Currently at Red Hat, I specialize in Golang and modern development practices, with strong proficiency across Python and Java, leading teams to deliver scalable, high-performance solutions.
My expertise spans from hands-on development to technical leadership, with a proven track record in CI/CD automation, cloud optimization, and generative AI integration. I architect AI-powered infrastructure platforms and drive CapEx modernization at scale, having previously led engineering teams at HCL and IBM.
M.S. Computer Science, 4.00 GPA. Passionate about mentoring engineers, solving hard infrastructure problems, and pushing the boundaries of what AI can do in production systems.
Architected AI-powered On-Prem Asset Hub integrating DCTrack, ServiceNow, and financial systems; improved asset ownership completeness and reporting accuracy by ~30–40%
Designed Go/PostgreSQL/Redis microservices on GCP for real-time infrastructure analytics across multi-site data centers, supporting multi-million-dollar CapEx decisions
Led ServiceNow → Jira initiative mapping full financial lifecycle; identified control gaps projected to reduce approval cycle time by 20–30%
Built LLM integrations enabling natural-language insights for power forecasting and budget analysis, reducing manual reporting effort by ~40%
Developed Python/Go pipelines aligning CapEx submissions with power constraints; reduced manual spreadsheet processing by ~60%
Led and mentored a distributed team of software engineers across time zones, fostering a culture of innovation and accountability
Engaged with customers to gather requirements and deliver technical solutions aligned with business goals
Managed project lifecycles to ensure timely delivery, quality standards, and customer satisfaction
Contributed to hands-on development with Java, Springboot, VueJS, and Elasticsearch
Collaborated with stakeholders to define product vision, prioritize tasks, and align team efforts with business goals
University of Puerto Rico, USA
Focused on advanced computer science concepts, distributed systems, and software engineering principles.
University of Puerto Rico, USA
Dual degree program combining mathematical theory with practical computer science applications. Strong foundation in algorithms, data structures, and mathematical modeling.
Have a question or want to work together? Send me a message.