I am a B.Tech student in Electronics at Veermata Jijabai Technological Institute (VJTI), Mumbai, with a minor in AI-ML. My academic background includes core subjects such as Artificial Intelligence, Data Analytics, DBMS, Digital Electronics, and Data Structures and Algorithms.

I am interested in machine learning, time-series and signal-based data, and building practical tools that help analyze and debug model behavior. Through academic projects and self-driven learning, I have worked with Python, C++, TensorFlow, and data analysis libraries such as NumPy and Pandas.

As part of my preparation for Google Summer of Code 2026, I am currently developing an open-source prototype focused on detecting common machine learning failure modes (such as overfitting and underfitting etc.), providing unified analysis utilities, and adding simple visualizations to better understand training dynamics on time-series data.

In addition to technical work, I have experience in leadership and coordination as a Department Head at Technovanza (VJTI’s techno-managerial fest), where I managed teams, organized workshops, and mentored juniors through hands-on technical activities. I look forward to learning from and contributing to the INCF and NeuroStars community.