Summary

PhD candidate specializing in cross-platform narrative diffusion, machine learning, and computational social science. Experienced in ML engineering, NLP pipelines, and socio-technical behavior modeling.

Education

• Computer Science

  2026-12-01
  University of Arkansas at Little Rock

  GPA:
• Computer Science

  2025-05-01
  University of Arkansas at Little Rock

  GPA:

Work Experience

• Researcher

  2023-08-01 -
  University of Arkansas at Little Rock

  Lead research efforts on cyber behaviors through social media analysis, with focus on mechanisms and structures of cross-platform narrative diffusion.

  • Led end-to-end research on cyber behaviors via social media analysis.
  • Studied mechanisms and entities involved in cross-platform narrative diffusion.
  • Developed multiplatform knowledge graph embeddings and ML models to extract insights.
• Software Engineering Intern (Machine Learning)

  2025-05-01 - 2025-08-01
  Meta

  Worked on ranking models and training pipelines to improve model deployment and retrieval performance.

  • Built a training data pipeline reducing activity-to-serving time from 14 days to 1 day.
  • Implemented step-changes in model-based retrieval using feature ablation and new model architectures.
  • Implemented transformer-only interaction architecture for ranking models.
• Senior Machine Learning Engineer

  2023-01-01 - 2023-08-01
  IQuartic (A NewWave Company)

  Developed NLP and Bayesian modeling tools to improve medical risk adjustment and coding accuracy.

  • Developed NLP pipelines for risk adjustment improving accuracy and efficiency.
  • Designed Bayesian models to detect suboptimal codings in medical records.
  • Managed end-to-end ML lifecycle from preprocessing to deployment.
  • Led engineering team to build a comprehensive risk adjustment platform.
• Data Science Engineer

  2021-09-01 - 2023-04-01
  Parallelscore

  Designed scalable NLP systems using transformer architectures and developed production ML microservices.

  • Implemented transformer-based NLP pipelines for NER and extraction.
  • Developed microservices for model serving using Docker, AWS, Jenkins, Kubernetes.
  • Supported end-to-end project development with strong documentation practices.
• Enterprise System Engineer (Machine Learning)

  2020-09-01 - 2021-09-01
  Babban Gona

  Built high-accuracy computer vision models for agricultural applications serving over 200,000 farmers.

  • Developed low-latency, high-accuracy computer vision models for crop condition detection.
  • Researched and designed ML/AI applications for agricultural intelligence.
  • Maintained production CV models and supported field operations.

Skills

Languages

• English

  Professional

Interests

• Computational Social Science

  Narrative Diffusion, Cyber Behaviors, Influence Modeling