Professional History

Experience

Designing algorithms, optimizing data pipelines, and building production-grade intelligence.

Feb 2025 – Present

ML Engineer – Student

Utilities and Energy Services, Texas A&M University

College Station, TX

  • • Designed scalable time-series ML pipelines using Python, Pandas, and SQL to automate anomaly detection and forecasting across 200+ operational systems, reducing fault response latency by 40%.
  • • Developed and deployed deep learning and statistical models (Isolation Forests, ARIMA) for real-time monitoring, achieving 95% anomaly precision in production.
  • • Built end-to-end ETL and preprocessing streams integrating IoT streams and historical datasets, enabling predictive diagnostics.
  • • Containerized ML services with Docker, deploying modular inference engines and optimizing SQL-Python validation layers.
Dec 2023 – May 2024

Research Assistant

Vellore Institute of Technology

Vellore, India

  • • Engineered W-Net and U-Net architectures for brain tumor segmentation in MRI images, accomplishing 90%+ accuracy and amplifying boundary delineation on the BraTS dataset.
  • • Optimized edge boundary segmentation thresholds, achieving a Dice Score and Mean Intersection Over Union (Mean IOU of 72%).
  • • Benchmark performance grids utilizing VGG16, ResNet, and DenseNet blocks to refine segmentation outputs.
May 2023 – Jul 2023

Research Intern

Defence Research & Development Laboratory (DRDL)

Hyderabad, India

  • • Formulated and simulated an advanced aircraft pitch control system utilizing PID controllers in MATLAB and Simulink, leveraging ML models to refine control thresholds and improve stability by 11%.
  • • Deployed parameter tuning scripts, reducing dynamic overshoot by 10% and improving control response times.
  • • Collaborated with Senior Scientists at DOS/DRDL on intelligent robotic and flight control laws.
Jan 2023 – Dec 2023

Co-Secretary

IEEE Microwave Theory & Techniques Society

Vellore, India

  • • Managed chapter operations, technical events, and guest seminars on microwave components and emerging systems.
  • • Coordinated inter-college seminars, increasing membership and student engagement by 20%.