Bio
I am currently a Graduate Student in the Statistics Department at Purdue University, specializing in Deep Learning. My research interests include neural network optimization and real-time data analysis.
Previously, I worked as a Research Engineer at Tata Consultancy Services (TCS) Innovation Lab, where I developed Machine Learning systems to optimize cloud resource usage, reducing costs and carbon emissions. I also implemented an Auto-ML system for Time Series Forecasting, designed an anomaly detection system for network traffic monitoring, and created an NLP-based solution for extracting KPIs from ESG reports.
I am proficient in Python, TensorFlow, and cloud computing platforms. My future goals include advancing the state-of-the-art in neural network architectures and applying deep learning to solve real-world problems.
On this site, you can find my publications, presentations, CV, and technical blog.