I am a Master's student in Artificial Intelligence at Northeastern University in Boston with a strong foundation in algorithms, data structures, and intelligent systems. My work sits at the intersection of software engineering and machine learning, where I enjoy building systems that are both technically sound and practically impactful.
I have industry experience as Software Engineering Intern at Aditya Birla Group and Machine Learning Intern at Lanxess, where I worked with CI/CD workflows to ship reliable, production-ready systems.
Previously, as an Undergraduate Research Assistant at SRMIST, I contributed to research on Dynamic MAC protocol for underwater acoustic sensor networks, intelligent agents, and self-driven learning signals.
A novel approach for layered data aggregation in underwater acoustic sensors, with improved transmission and optimized energy efficiency.
Implemented LSTM and GRU deep learning algorithms to capture sequential patterns and long-term dependencies in traffic data for improved forecasting accuracy