I am a recent Software Engineering graduate (CGPA 3.80), recognized as a Batch Topper and Merit Scholarship recipient, with a strong academic foundation in Artificial Intelligence, Machine Learning, and core software engineering disciplines. I have hands-on experience mentoring student projects, supporting laboratory work, and contributing to peer-reviewed research published in IEEE, Nature Scientific Reports, and Springer, with exposure to international conferences. Proficient in Python, Java, C++, SQL, and modern AI/ML frameworks, I effectively bridge theoretical knowledge with practical implementation. I am highly committed to academic excellence, effective teaching, and student mentorship, with a strong focus on cultivating analytical thinking, problem-solving skills, and impactful learning experiences, and I am actively seeking opportunities in software engineering, AI/ML research, or academic support roles where I can contribute and continue to grow professionally.
Supervised Students
120+
Publications
8+
Peer Reviews
13+
Projects
20+
Core Expertise
AI & Deep Learning
Model training, evaluation, reproducible pipelines, strong experimentation habits.