Designing intelligent AI systems, secure software, and scalable solutions for real-world engineering problems
I'm a B.Tech Information Technology student (Graduation 2026) with a strong foundation in Python, C/C++, Java, and Data Structures. My passion lies in building intelligent systems that bridge the gap between theoretical AI and real-world engineering applications.
I specialize in AI-based computer vision systems using OpenCV & PyTorch, with hands-on experience in secure software development, vulnerability assessment, and full-stack systems. My work focuses on creating scalable solutions that address complex engineering challenges.
Beyond traditional software development, I'm deeply interested in aerospace systems, AI automation, and large-scale engineering platforms. I constantly explore ways to apply cutting-edge AI research to solve practical problems across industries.
Computer vision system built using Python, OpenCV, PyTorch, and Ultralytics for industrial inspection cameras and edge deployment.
Fully automated payment lifecycle with serverless architecture and integrated ML-based fraud detection.
Udemy - Agile methodologies, project planning, and team leadership
ISRO - Satellite image analysis and geospatial machine learning
Forage - Interactive dashboards and business intelligence reporting
Dhanekula Institute of Engineering and Technology (GPA: 7.15)