Member profile
T R Nagarjuna Reddy

T R Nagarjuna Reddy

Engineer
computer science student

Computer Science undergraduate with strong foundation in Data Structures & Algorithms and software development.

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Headline

computer science student| java & dsa | full stack developer

About

I am a motivated Computer Science student with a strong interest in software development, full-stack technologies, and problem-solving. I enjoy building practical applications that solve real-world problems and continuously improving my technical skills. My knowledge includes programming, web development, databases, and data structures and algorithms. I am currently working on academic and personal projects to gain hands-on experience in designing and developing efficient software solutions. I am eager to learn new technologies, collaborate with teams, and contribute to meaningful projects while growing as a software professional.

Education

b.e

acharya institute of technology

computer science · 2023 – 2027 · 8.5

Bachelor of Engineering (B.E)

Acharya Institute of Technology, Bengaluru

Computer Science and Engineering · 2023 – 2027 · 8.4 CGPA

Intermediate

fiitjee JR COLLEGE

MPC · 2021 – 2023 · 95%

SSC

fiitjee INTERNATIONAL SCHOOL

2019 – 2020 · 99.9%

Projects

Wealth Management & Smart Investment

Developed a web-based wealth management platform to help users plan, manage, and track their investments. Implemented portfolio management and investment recommendations to support informed investment decisions. Designed a responsive and intuitive user interface for a seamless user experience across devices. Incorporated security user authentication and financial data management to protect user information. Developed structured workflows for managing investment portfolios, financial data, and user activities.

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ETHNIX - E-Commerce Web Application

Built a full-featured E-commerce frontend using React.js and Vite. Developed reusable React components for products, shopping cart, checkout, authentication, and order management. Implemented a complete shipping-to-checkout workflow, including cart review, order summary, and order confirmation. Added user registration/login, input validation, and error handling mechanisms. Performed functional testing and debugging to identify and fix issues affecting checkout and order placement. Optimized the application response for maintainability, scalability, and responsive web design.

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Explainable Multi-Modal Deep Learning System for Early Alzheimer's Disease Risk Prediction

Developed a multi-modal deep learning model combining MRI images and clinical data for early Alzheimer's disease risk prediction. Integrated imaging and patient health information to improve predictive performance and implemented Grad-CAM for model interpretability.

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ETR-MART – E-Commerce Web Application

Built a full-featured e-commerce web application using React.js and Vite. Developed reusable components for product browsing, shopping cart, checkout, authentication, and order management. Implemented user registration, login, input validation, and complete shopping-to-checkout workflows.

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Wealth Management – A Smart Investment

Developed a web-based wealth management platform to help users plan, manage, and track their investments. Implemented portfolio management and investment recommendation features with secure authentication and financial data management.

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Certifications

Data Analyst 101

Simplilearn

2026-08-28

Learning Data Analytics Part 2: Extending and Applying Core Knowledge

LinkedIn Learning

2026-08-27

Introduction to Career Skills in Data Analytics (2022)

LinkedIn Learning

2026-08-27

Achievements

School Representative in Volleyball

Sports

Selected to represent my school in the CBSE Cluster Volleyball Tournament, demonstrating teamwork, discipline, and continuous sportsmanship.

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Explainable Multi-Modal Deep Learning System

Other

2026-01-02

Developed an AI system for early Alzheimer's risk prediction using MRI and clinical data, integrating Grad-CAM to visualize brain regions and enhance interpretability.

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