Professional Experience

Research, development, and innovation

ML Engineer – Student

Utilities and Energy Services, Texas A&M University

Feb 2025 – Present · 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 environments.
  • Built end-to-end ETL and data preprocessing workflows integrating IoT sensor streams and historical datasets, enabling predictive maintenance and operational diagnostics.
  • Containerized ML services using Docker, deployed modular inference pipelines, and optimized SQL-Python validation layers for production reliability.
  • Collaborated with engineers and stakeholders to document results, communicate findings, and support data-driven decision-making in safety-critical infrastructure.

Research Assistant

Vellore Institute of Technology

Dec 2023 – May 2024 · Vellore, India

  • Engineered W-Net and U-Net architectures for brain tumor segmentation in MRI images, accomplishing over 90% accuracy and amplifying delineation of tumor regions in BraTS 2020 Dataset.
  • Optimized tumor boundary detection, attaining a high Mean Intersection Over Union (Mean IOU of 72%) and Dice Score.
  • Experimented with models including VGG16, Res-Net, and Dense-Net blocks to evaluate performance and refine segmentation accuracy.
  • Implemented techniques for model evaluation and parameter tuning, streamlining computational efficiency and ensuring robust segmentation outcomes across diverse datasets.

Research Intern

Defence Research & Development Laboratory (DRDL)

May 2023 – Jul 2023 · Hyderabad, India

  • Formulated and simulated an advanced aircraft pitch control system utilizing PID controllers in MATLAB and Simulink, leveraging machine learning techniques to advance control precision and achieve an 11% improvement in system stability.
  • Deployed optimization strategies to refine system dynamics, effectively reducing overshot by 10% and improving overall response time by 10%.
  • Collaborated closely with Shri. Murali Mohan Gade (Scientist 'F', DOS, DRDL) on control design, advancing intelligent control strategies for aerospace systems and robotics.

Co-Secretary

IEEE MTTS [Microwave Theory and Techniques Society]

Jan 2023 – Dec 2023 · Vellore, India

  • Led as Co-Secretary of IEEE MTTS, managing and coordinating multiple events and seminars focused on emerging technologies.
  • Directed efforts to enhance chapter's outreach and impact through effective event planning and execution.