Welcome to My Portfolio
ANANDA GOPAL REDDY MANNE
Aspiring Software Development Engineer | AI/ML Enthusiast | AWS Cloud Learner
Explore My Journey
Welcome to My Portfolio
Aspiring Software Development Engineer | AI/ML Enthusiast | AWS Cloud Learner
Explore My JourneyI’m a B.Tech Computer Science and Engineering student with strong skills in Python, Java, and API development using FastAPI. I have foundational knowledge in Artificial Intelligence, Machine Learning, and AWS Cloud Computing. I love solving complex problems using Data Structures and Algorithms and building efficient, real-world applications using intelligent technologies. I’m highly adaptable, a quick learner, and always eager to grow as a developer.
Python, Java, Data Structures & Algorithms
FastAPI, NumPy, Pandas, Matplotlib, SciPy
SQL, PostgreSQL, GitHub, VS Code, Jupyter Notebook
Teamwork, Adaptability, Time Management, Patience
Overview: Combines classical ML and quantum computing to optimize crop yield and profitability.
Key Features: Predict crop yield, forecast profitability, and optimize resource allocation using hybrid models.
Roles: Users
User Capabilities: Input farm data, receive yield and profitability predictions, and analyze optimal farming strategies.
Improvements: Hybrid approach improves prediction accuracy compared to classical ML alone.
Tech Stack: Python, Streamlit, Quantum Computing Libraries, Random Forest, XGBoost
🔗 View on GitHubOverview: Dynamic snooze reminder system allowing users to set, update, and snooze reminders with flexible JSON-based time inputs.
Key Features: Users can create, view, update reminders; dynamic snooze functionality; automatic wait time calculation; input validation.
Roles: Users, Admin
User Capabilities: Set and track reminders, snooze reminders.
Improvements: Achieved 95% validation accuracy and reliability of API responses.
Tech Stack: FastAPI, Pydantic, PostgreSQL, SQLAlchemy, Alembic, Unit Testing
🔗 View on GitHubOverview: Secure JWT-based authentication and role management system for web applications.
Key Features: User registration/login, JWT tokens, role-based access control, token refresh & expiration handling.
Roles: Admin, Users
Admin Capabilities: Manage roles, monitor access, revoke tokens.
User Capabilities: Secure login, access authorized features.
Improvements: Ensured 95% session stability and secure token storage.
Tech Stack: FastAPI, JWT, SQLAlchemy, PostgreSQL, Unit Testing
🔗 View on GitHubOverview: Web application for bus and hotel bookings with a real-time reservation system.
Key Features: Browse 200+ listings, book trips, track booking status, view history.
Roles: Admin, Customers
Admin Capabilities: Manage listings, reservations, cancellations.
Customer Capabilities: Book trips, view history, cancel bookings.
Improvements: Improved query efficiency by 70% for real-time reservation updates.
Tech Stack: HTML, CSS, JavaScript, Flask, JDBC
Overview: AI/ML-based web application for handwriting recognition with high accuracy.
Key Features: Upload/draw handwriting, predict letters/words using CNN, real-time feedback.
Roles: Users
User Capabilities: Recognize handwriting and view predictions.
Improvements: Achieved 92% accuracy using TensorFlow CNN model.
Tech Stack: Python, Flask, TensorFlow, HTML, CSS, JavaScript
Annamacharya Institute of Technology & Sciences, Rajampet
CGPA: 9.04 (Pursuing)
Duration: 2022 - 2026