At Chegg India, I solved 2000+ Computer Science questions and provided explanations in AIML, DBMS, JAVA, and DSA.
During my AI/ML internship with AICTE Edu Skills, I completed a 10-week internship focused on AI/ML fundamentals.
On my AI and Real-Time Data Engineering Projects, I developed Python-based AI systems and backend applications, including LLM/AI-agent workflows, REST APIs, and real-time data processing.
I also developed a hospital readmission prediction system using Logistic Regression and deployed it through a Flask API. My iBallot project is a full-stack voting app with role-based access control.
