Meenakshi Marree

AI Researcher

Bengaluru, Karnataka, India4 yrs experience

Highly Stable

Key Highlights

Developed an AI music composition system using advanced ML techniques.
Hands-on experience in full-stack web development.
Strong foundation in multiple programming languages and frameworks.

Stackforce AI infers this person is a Full-Stack Developer with a focus on AI and web technologies.

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Skills

Core Skills

HtmlCascading Style Sheets (css)Machine LearningPython (programming Language)Front-end DevelopmentBack-end Web Development

Other Skills

ReactFlaskGitSQLDatabase Management System (DBMS)Tailwind CSSJavaScriptConvolutional Neural Networks (CNN)MongoDBPostman APIDockerGitHubcomputer networksData StructuresJava

About

I am a dedicated Information Science and Engineering student with hands-on experience in full-stack web development and machine learning projects. I have a strong foundation in various programming languages and frameworks and am eager to contribute to innovative technologies. My recent projects showcase my skills in building user-friendly applications and websites successfully.

Experience

4 yrs

Total Experience

4 yrs

Average Tenure

4 yrs

Current Experience

Inventeron technologies

Trainee software engineer

Feb 2026 – May 2026 · 3 mos · Bengaluru · Remote

HTMLCascading Style Sheets (CSS)

Infosys springboard

Artificial Intelligence Intern

Sep 2025 – Nov 2025 · 2 mos · Remote

Developed an AI-based music composition system that generates original tunes based on user-selected mood.
Implemented YAMNet + CNN for audio feature extraction and used RAG with MusicGen for context-aware music generation.
Built a seamless full-stack flow using React (UI) and Flask (API) with IndexedDB for offline audio caching and playback.
Improved performance through model optimization and Base64 streaming for fast real-time generation.

Machine LearningPython (Programming Language)ReactFlask