Sreenidhi R

Dynamic and motivated 3rd-year B.Tech Computer Engineering student. Seeking to leverage academic knowledge and hands-on experience to contribute to innovative projects while gaining practical skills in a challenging environment. Dedicated and adaptable professional with a proactive attitude and the ability to learn quickly. Strong work ethic and effective communication skills. Eager to contribute to a dynamic team and support organizational goals.

• Certificate of participation in Smart India Hackathon by VNEST - VIT Chennai StartUp
• Certificate of participation in Dark Patterns Buster Hackathon
• Career Essentials in Generative AI by Microsoft and LinkedIn (all 6)
• Udemy Certification for Web Development BootCamp
• Udemy Certification for Data Structures and Algorithms by Abdul Bari
• Coursera certification on Supervised and Unsupervised Machine Learning
• Certificate of Completion for successfully completing the 2-Week Entrepreneurship Course organized by Turnip Innovations
• Certificate of Completion for successfully completing the Design Thinking Course organized by Turnip Innovations

Authored and presented the paper "Multi-Modal Deep Learning for Leaf Disease Detection," published in IEEE Xplore, focusing on cutting-edge technologies and sustainable development goals (SDGs) in computing.

• Compiler Development Project: Developed a compiler for a custom programming language, covering lexical, syntax, and semantic analysis, code generation, and optimization phases. Achieved efficient translation of source code to executable machine code, enhancing understanding of compiler design principles and optimization techniques.
• Digital Door Lock System using Block Chain Technology: The project presents a novel approach to door security by integrating block chain technology into a digital door lock system. It utilizes block chain’s decentralized and immutable nature to enhance security, enabling secure access control and audit trails. The system aims to provide a tamper-proof and transparent solution for residential and commercial door security.
• Smart Traffic Management System: Developed a system using machine learning algorithms to optimize traffic flow in urban areas. Applied engineering principles to analyze traffic patterns and reduce congestion. The technologies used in this project include Python, TensorFlow and OpenCV.

• Sub- lead, Voice-IT – RJ Tamizh, Official Radio Station Club of VITC
• Vocalist, Music Club, VITC
• Member, Technical Department – Competitive Programming, Newton School Of Coding Club, VITC