10 Projects complete
Software Engineer skilled in Java Spring Boot, Microservices, and REST API Development for building secure and scalable solutions. Experienced in application monitoring, cloud technologies, and Agile-based development. Passionate about delivering reliable, customer-centric software solutions using modern backend technologies.
CGPA: 8.48 / 10
I completed my intermediate education from Nano College under The Telangana State Board of Intermediate Education (TSBIE) from 2018 to 2020.I successfully cleared the exams with first-class distinction.
I completed my 10th standard education at Dr.KKR's Gowtham High School between 2017 and 2018, achieving first-class marks in the examination.
I have successfully completed The Complete 2023 Web Development Bootcamp (MERN Stack) on Udemy, equipping myself with comprehensive skills in modern web development.
I completed the Java Spring Boot course with VMware IT Academy, mastering the framework. As part of SmatInternz, I built the a Medico website, a doctor appointment platform.Used SpringBoot and React js.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia
Java, Python, SQL, HTML, CSS, JavaScript
Spring Boot, Selenium, Cucumber
REST APIs, Microservices, API Gateway, Service Discovery
MySQL, MongoDB
Git, GitHub, Docker, Jenkins, Postman, Jira, Confluence, Dynatrace
Google Cloud Platform (GCP)
Machine Learning, TensorFlow, Scikit-learn, Image Classification
Claude code, Chatgpt codex, Gemini antigravity, Cursor
Explore my projects showcasing proficiency in Java, Spring Boot, JS, Python and TensorFlow, each crafted to deliver seamless experiences and innovative solutions in development.
An interactive word-guessing game developed to demonstrate proficiency in the Angular framework. Unlike a traditional JavaScript approach, this application utilizes Angular directives and two-way data binding to manage the game state efficiently without direct DOM manipulation.
Tech Stack: Angular, TypeScript, HTML5, CSS3.
A comprehensive statistical data analysis project using the R language and its powerful libraries (e.g., ggplot2, dplyr). This project applies Regression Analysis to the Auto-MPG dataset to explore and model the relationship between vehicle characteristics (such as horsepower, weight, and cylinders) and a car's Miles Per Gallon (MPG) efficiency. The analysis heavily utilizes advanced data visualization techniques to derive insights, including Histograms, Bar Graphs, Box Plots, Scatter Plots, Matrix Plots, Bubble Plots, Line Graphs, Violin Plots, and Density Plots. The goal is to provide data-driven insights and predictive modeling on fuel economy.
Tech Stack: R, RStudio, Tidyverse (ggplot2, dplyr).
A foundational full-stack application demonstrating core CRUD (Create, Read, Update, Delete) functionality for employee records. This system utilizes Java for robust backend logic, business processing, and data handling, integrated with a clean, functional frontend built using standard HTML and CSS. It efficiently manages key employee data fields, including ID, Name, Salary, Department, and Age.
Tech Stack: Java, HTML5, CSS3.
For the Multi-Client Chat application, I employed Socket Programming in C, enabling real-time communication among multiple users connected to a central server.
Tech Stack: Linux, C and Socket programming
This Machine Learning project focuses on predicting whether an individual's income exceeds $50K annually based on the Adult Census Dataset. The project involves a complete Data Science pipeline, including- Exploratory Data Analysis (EDA) and Feature Engineering. Data preprocessing (handling missing values, encoding categorical features). Training and evaluating various Classification Models (e.g., Logistic Regression, Decision Trees) to achieve optimal prediction accuracy.
Tech Stack: Python, Jupyter Notebook, Pandas, NumPy, Scikit-learn.
Alzheimer's Disease Detection 🧠 A high-impact Deep Learning project focused on the early detection and staging of Alzheimer's Disease from medical imaging data. This solution employs the state-of-the-art EfficientNet Vision Processing model, leveraging TensorFlow and Python to achieve superior diagnostic performance. The model accurately predicts both the presence of the disease and its specific stage. Demonstrates exceptional model reliability with Accuracy, Precision, Recall, and F1-Score all exceeding 95%.
Tech Stack: Python, TensorFlow, EfficientNet, Keras, NumPy.
I am available for both freelance and full-time opportunities, ready to contribute my skills and expertise to your projects.
Software Engineer skilled in Java Spring Boot, Microservices, and REST API Development for building secure and scalable solutions. Experienced in application monitoring, cloud technologies, and Agile-based development. Passionate about delivering reliable, customer-centric software solutions using modern backend technologies.
Tilaknagar, Hyderabad, Telangana - 500044