Machine Learning Web Developer

Rahul Varadaraju

# ***************@*****.*** +1-512-***-**** ð rahulvaradaraju § Rahulv024

Education

The University of Texas at Arlington

MS in Computer Science (GPA: 3.5/4)

Aug 2024 – Present

Coursework: Artificial Intelligence, Design and Analysis of Algorithms, Data Structures and Algorithms. Sir M Visvesvaraya Institute of Technology

Bachelor of Technology in Computer Science (GPA: 3.4/4) Dec 2020 – May 2024

Experience

SkillForge

Web Developer Intern

Aug 2023 – Oct 2023

Bangalore, Karnataka

Trained extensively in web technologies including HTML, CSS, JavaScript, Node.js, and Express.js.

Developed a user login page using HTML, CSS, and JavaScript, implementing secure GET and POST methods in Node.js.

Facilitated daily stand-ups and sprint planning sessions for a team of 8 engineers, ensuring project milestones were met on time and within budget for critical product launch. Projects

Emotion Detection of Audio Files using ML Github 2

Designed a web application, enabling users to upload audio files and receive real-time emotion analysis using machine learning models.

Implemented four machine learning models using Python and Jupyter Notebook, achieving the highest 99.64% accuracy rate in emotion detection.

MentorLink Android Application Github 2

Designed and developed an Android app facilitating 1-1 interactions between students and mentors via text chats, enhancing communication and mentorship engagement.

Implemented features to view detailed mentor information, improving the accessibility and usability of mentor resources for students.

IMDB Semantic Search Engine Github 2

Built a semantic search engine for the IMDB Top 1000 Movies dataset using NLP and vector search tech- niques. The project leverages Sentence Transformers for text embeddings and Pinecone as a vector database to store and retrieve relevant movies based on user queries. A Streamlit-based web application was built to provide real-time movie recommendations using cosine similarity.

Semantic Search Accuracy: Achieved 85-90% relevance score in retrieving movies matching user Technical Skills

Languages: Python, C++, C, Java, HTML, CSS, SQL, JavaScript Frameworks: React.js, Node.js, Django, Flask

Tools: Docker, Kubernetes, Jenkins, Terraform, MySQL, MongoDB, Intellij IDEA, GIT, VS Code Concepts: Data Structures and Algorithms, Database Management, Object-Oriented Programming, Data mining, Cloud Computing, Machine Learning.

Publications

Nikhil T D, Rahul Varadaraju, Reuben J, Yash T K,”EMOTION DETEC- TION OF AUDIO FILES USING MACHINE LEARNING”, JETIR May 2024, Volume11, Issue 5.

May 2024

Paper Link 2

Rahul Varadaraju - Page 1 of 1

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