About me
I am a Master’s student in Computer and Systems Engineering at the University of Houston with a strong passion for building intelligent, scalable software systems. My expertise lies in full stack web development using the MERN stack (MongoDB, Express.js, React, Node.js), where I have developed end-to-end applications with responsive user interfaces and efficient backend architectures. I am also experienced in machine learning and computer vision, having implemented YOLO for object detection and CNNs for image classification in real-world projects such as traffic sign detection and damage classification. Proficient in C++, Python, and both SQL and NoSQL databases, I have a strong grasp of data structures, algorithms, and software engineering best practices. In addition to my software background, I have hands-on experience with VLSI design, embedded systems, and hardware simulation tools, which allows me to approach problems with a cross-disciplinary mindset. I thrive in agile development environments, value clean and maintainable code, and enjoy solving complex problems that blend innovation with real-world impact.
Education
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University of Houston
Masters in Computer and Systems Engineering
GPA - 3.89/4.0
2024 – present
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National Institute of Technology Kurukshetra
Bachelor of Engineering - Mechanical Engineering
GPA - 3.70/4.0
2020 – 2024
Experience
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National Institute of Technology, Kurukshetra
Placement Coordinator, Training and Placement Cell
Aug 2023 – May 2024
Liaised with leading companies to coordinate recruitment drives, managed placement data in Excel, and presented NIT Kurukshetra’s talent pool to industry partners to secure hiring opportuni:es for students.
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Indian Railways
Web Developer, Internship
Jan 2023 - May 2023
Developed a comprehensive and user-friendly website for Indian Railways, designed to provide detailed information on special trains, tourist attractions. The website is optimized for seamless use across all devices.
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UH Energy Data Science Summer Cohort
National Science Foundation • Apprenticeship
May 2025 – Jun 2025
Participated in an intensive 5-week program funded by the National Science Foundation (NSF), focused on geothermal energy and spatial analysis techniques. Gained hands-on experience in selecting appropriate statistical tests to derive actionable insights for the energy sector. The program provided valuable industry exposure and deepened my understanding of how data science can drive the transition to clean energy, equipping me to contribute meaningfully to the future of sustainable energy solutions.
