Final-year B.Tech Computer Science (Data Science) student passionate about Artificial Intelligence, Machine Learning, and building intelligent systems that solve real-world problems using data-driven approaches and modern technologies.
A little about who I am and what drives me
I am a final-year B.Tech Computer Science (Data Science) student at VNR Vignana Jyothi Institute of Engineering and Technology, driven by a deep passion for Artificial Intelligence and Machine Learning. I thrive on building intelligent systems that bridge the gap between cutting-edge research and practical, real-world applications.
My hands-on experience spans computer vision, deep learning architectures, data pipeline engineering, and full-stack web development. I have worked on projects ranging from edge-based intrusion detection systems using hybrid MobileNet-ConvLSTM models to healthcare data aggregation platforms—each designed to deliver measurable impact through data-driven thinking.
Beyond code, I lead design and community outreach initiatives, believing that impactful technology must also be inclusive and accessible. I am always looking for opportunities to collaborate on projects that make a difference.
My academic journey and achievements
Technologies and tools I work with
Where I've worked and what I've built
Completed a 4-week intensive AI internship focused on building real-world technology solutions for Global South challenges. Gained hands-on experience with machine learning workflows, data preprocessing techniques, and end-to-end model development. Collaborated with a diverse team of developers and researchers to prototype AI-powered tools addressing pressing societal needs, combining technical rigor with social impact thinking.
Things I've built and shipped
Developed a low-power AI-based border surveillance system for real-time intrusion detection using edge devices. Built a hybrid MobileNetV3 and ConvLSTM model for spatio-temporal video analysis and implemented GPU-based verification using super-resolution and ResNet detection for high accuracy threat assessment.
Developed a digital hostel pass system that generates unique time-bound access tokens for hostel mess entry. Implemented QR-based verification and client-side token validation, fully eliminating unauthorized access and streamlining daily entry management for students.
Developed a robust healthcare data pipeline to aggregate patient records from multiple hospital branches into a unified database. Included comprehensive data cleaning, schema design, and SQL-based analytics to enable better clinical decision-making and operational efficiency.
Credentials and professional learning
Community roles and impact beyond code
Milestones and recognition
Have an opportunity or idea? Let's connect and build something great together.
I'm currently open to internships, research collaborations, and full-time opportunities in AI, Data Science, and Software Development. Feel free to reach out!