About

Researcher, engineer, and builder of practical ML systems.

My work connects academic research with production-grade systems, especially where network structure, language, behavior, Agentic AI, and Applied AI intersect.

Research profile

I am an AI researcher and engineer working at the intersection of computational social systems, network science, and temporal modeling. My work focuses on understanding how information and narratives propagate across complex systems, using graph-based learning and scalable machine learning methods. I am also exploring modern recommendation systems and ranking models, with an emphasis on real-world, large-scale applications.

My research places particular emphasis on collective structures—motifs, communities, and interaction patterns—rather than isolated nodes. I study how these structures emerge, evolve, and ultimately shape the dynamics of information spread, influence, and coordination in networked environments.

Experience

Work across academia and industry

COSMOS Research Center, UALR

Researcher - 2023 to present

Studying cyber behaviors, social media ecosystems, and cross-platform narrative diffusion with large-scale analytical methods.

Meta

Software Engineering Intern, Machine Learning - 2025

Worked on training data pipelines, ranking architectures, and model retrieval performance at production scale.

IQuartic

Senior Machine Learning Engineer - 2023

Built NLP pipelines, Bayesian models, and end-to-end systems for medical risk adjustment workflows.

Parallelscore and Babban Gona

Data science and ML engineering roles - 2020 to 2023

Worked on NLP microservices, computer vision systems, deployment pipelines, and applied AI in real-world settings.

Connect

I am open to collaborations, research conversations, speaking opportunities, and tool-focused partnerships.