I'm building AI-powered systems through my AIML internship at CDAC Hyderabad, including an end-to-end news ranking and validation platform with real-time pipelines and LLM-based content validation.
I've developed machine learning pipelines for student-performance prediction at iStudio, achieving an R² of 0.88 with Linear Regression and up to 81% classification accuracy. At HoTIT Institute, I created interactive sales and weather-pollution dashboards for KPI monitoring and trend analysis.
My projects include a PyTorch U-Net pipeline for satellite-based idle land detection and an email spam detection system using TF-IDF, Logistic Regression, Naive Bayes, PostgreSQL, and FastAPI.

