Machine Learning,Software Engineer

MOURYA TEJA VEERAMACHANENI Email:***********@*****.***

LinkedIn: www.linkedin.com/in/mourya-teja-veeramachaneni/ Mobile: +1-219-***-**** Indiana, USA

OBJECTIVE

Entry-level Software Engineer with experience in full-stack development, database integration, and machine learning applications. Proficient in writing clean, maintainable code in Python, Java, and SQL. Adept at collaborating on team projects, following software development best practices, and delivering solutions that enhance user experience. EDUCATION

• Purdue University Northwest, Indiana Master’s in Computer Science Aug 2023- May 2025 CGPA-3.77/4.0

• NRI Institute of Technology, Vijayawada, India Bachelors in Computer Science Aug 2019- May 2023 CGPA – 3.76/4.0

SKILLS SUMMARY

Languages: Python, Java, C, C++, JavaScript, SQL, HTML, CSS, Bootstrap.

Frameworks/ Tools: React, JSP/Servlets, Git, MySQL, Flask, OpenCV.

Concepts: OOPS, SDLC, REST APIs, Agile/Scrum, Clean Code principle.

Practice: Unit Testing, Version Control, Database Design, Code Review.

Additional Skills: Agile Methodology, Test Driven Development (TDD), Responsive Web Design, UI/ UX Design Principles, Unit Testing, Projects

Student Course Registration System

Designed and developed a full-stack course registration system using Java, MySQL, and JSP/Servlets following object-oriented design principles.

Implemented modules for course selection, enrollment, admin control, and user authentication.

Designed and normalized relational database schema in MySQL to handle student-course relationships and prerequisites.

Utilized MVC architecture to structure the application and ensure maintainability.

Performed unit testing and validation on form inputs, database transactions, and session handling to ensure reliability.

Used Git for version control and collaborated with a team of three in an Agile development setup. Analysis of Stock Price Prediction using LSTM Neural Network

Built a machine learning model using Python (Keras) to analyze stock data, achieving 87% accuracy.

Preprocessed datasets using pandas and NumPy and visualized results to guide model improvements.

Applied software engineering principles like modular code, version control with Git, and performance testing. Face Detection System

Developed a real-time face recognition app using Python and OpenCV, applying object-oriented design principles.

Integrated MySQL database to store face data and optimized SQL queries, improving retrieval speed by 30%.

Implemented and tested detection algorithms using Haar Cascade and deep learning models to increase accuracy by 15%.

Collaborated with peers to debug issues and ensure smooth deployment via Flask web app. Audio Book

Created an audiobook generator using Python, HTML, CSS, and Bootstrap, Integrating PYPDF2 and pyttsx3 for Text to speech conversion. Demonstrating expertise in emerging tools, accessibility solutions and user-friendly deployment.

Integrated accurate PDF text extraction with PyPDF2 for text to speech conversion.

Utilized pyttsx3 to produce clear and audible speech, enhancing accessibility for users. CERTIFICATION AND ACTIVITIES

• NPTEL certifications in Programming with C++.

• NPTEL certification in Database Management System.

• Successfully coordinated technical gaming event.

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