Hello! 👋

I'm Krishna Calindi

Machine Learning Engineer

About Me

Master of Science in Computer Science student at Texas A&M University, graduating Spring 2026. Interested in application-driven machine learning and actively seeking full-time opportunities.

Python Imbalanced learning Constrained optimization

Publications

02

Timothy Logan and Krishna Calindi. 2026. Employing pseudo-dynamic metrics derived from lightning to diagnose tornadic supercell thunderstorm organization and maintenance. under preparation.

01

Timothy Logan and Krishna Calindi. 2025. Comparison study of the electrical nature of two smoke-enhanced sea breeze thunderstorm cases during TRACER. Journal of Geophysical Research - Atmospheres (2025). under review.

Projects

01

Master's Thesis

Trained a deep learning model on four years of lightning, satellite, and precipitation data to predict storm severity outperforming existing approaches.

PythonPyTorchLibAUCclassification of imbalanced datasets
02

Aggie XLMA

Desktop application to analyze lightning data capable of rendering 2.7 million sources in under 1.5 seconds written in C++ with OpenGL.

C++SQLOpenGL

Experience

Student Technician

Texas A&M University

Aug 2024 - Present
  • Spearheaded the development of an application to process lightning data to improve research workflows.
  • Supported two research publications by analyzing data and producing high-quality figures.
  • Built a lightning-based warning model resulting in an abstract submission to several conferences

Education

PhD in Computer Science

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2026- ????

Master of Science in Computer Science

Texas A&M University

2024 - 2026
  • Graduated with 4.0 GPA
  • Thesis research in lightning based severe storm prediction
  • Contributed to a publication in Journal of Geophysical Research

Bachelor of Science in Computer Science

University of Texas at Dallas

2020 - 2024
  • Graduated with Collegium 5 Honors and 3.62 GPA
  • Minor in Business Administration
  • Achieved Academic Excellence Scholarship and Dean's List honors