Sai Ravi Teja Gangavarapu

Music Technology Researcher & Software Engineer

Exploring the intersection of AI, Music, and Human-Computer Interaction

Education

University of Florida (Jan 2024 – May 2024)

Senior Certificate + Master's coursework in Computer Science, CISE Department

GPA: 4.0/4.0

Courses: Analysis of Algorithms, Advanced Data Structures, Computer Graphics, UX Design

Mahindra École Centrale (2020 - 2024)

B.Tech, Computer Science and Engineering

Hyderabad, India

Kennedy High The Global School (2018 - 2020)

A-levels - Mathematics, Physics and Chemistry

AAB Grades

MathAcademy

Daily rigorous practice to maintain proficiency in machine learning mathematics

Covering linear algebra, multivariable calculus, probability theory, and statistical inference

(1 XP ≈ 1 minute of focused problem solving)

MathAcademy Progress

Research Experience

Michigan State University Research (Sept 2024 – Present)

Working on emotional music transitions and therapeutic music generation

  • Developing therapeutic music generation systems using the iso principle for mood transition
  • Investigating multi-objective optimization for raga-based music generation
  • Collaboration with Dr. Kalyanmoy Dev and Prof. Arya Kumar

Mahindra École Centrale Research (Oct 2022 – Sept 2024)

IEEE WCCI 2024 (CEC) Publication

  • Developed novel differential evolution system for emotion-aligned sound synthesis
  • Combined music information retrieval with evolutionary computation
  • Achieved 90% classification accuracy using self-organizing maps and fuzzy clustering
  • Designed pipelines for extracting 100+ time and frequency-based features

Fan Lab Research - Genomic ML (Feb 2024 – Present)

Research on genomic foundational models and RNA-protein interactions

  • Conducted research under Dr. Xiao Fan on genomic foundational models using nucleotide variance techniques
  • Developing neural network system for RNA-Protein interaction prediction to aid in cancer diagnosis

Work Experience

Tapsta

Lead Software/Founding Engineer

  • Leading development team of 4 building social media app connecting students with local merchants (1000+ users)
  • Designed scalable architecture with 20+ schemas, shipped 50,000+ lines of code across front/backend
  • Implemented CI/CD pipelines and optimized database queries
  • Mentored 3 SDE interns, accelerating project velocity and code quality

OneAIclick.com

Co-Founder/Founding Engineer

  • Building private LLM pipeline abstraction tooling for easy fine-tuning and deployment
  • Developed no-code GUI for fine-tuning open-source HuggingFace LLMs
  • Speeding up validation of fine-tuning on custom datasets by 2X over traditional methods

Catalog.fi

Software Development Engineer Intern

  • Fine-tuned language models and developed custom API mapping system to teach language models to use APIs.
  • Implemented real-time data analytics system for crypto token volume monitoring
  • Contributed to facilitating $150M+ in trading volume over 30 days

Music Technology Projects (2021 – Present)

Music Theory & Audio Programming Studies

  • Currently studying Fundamentals of Music Theory (University of Edinburgh) on Coursera
  • Developing audio plugins using C++ & JUCE framework
  • Implementing real-time audio processing and synthesis techniques

Samplebox

Desktop application for music production workflow (30+ active users)

  • Implemented stem separation and drum kit extraction
  • Created algorithmic variations of harmonic samples using music theory principles
  • Built with Electron.js, FastAPI, and Librosa

Text-to-Synthesizer System

Natural language control of synthesizer parameters

  • Parameter mapping using LAION-CLAP embeddings
  • PyTorch implementation with differential evolution
  • STFT-based timbre matching capabilities

Audio-Visual Integration Projects

  • CUDA-accelerated ray tracer with FFT-based audio reactivity
  • Audio-reactive GAN art installations
  • Boids simulation with audio parameter mapping

Other Technical Projects

Project RECON

8-pi compute cluster serving 400+ students

  • Implemented VLANs and distributed storage
  • $2000 funded university infrastructure project
  • GlusterFS and OpenMPI implementation

Co-Write

AI-powered learning platform with academic integrity focus

  • Custom RAG model implementation
  • Next.js, FastAPI, and LangChain stack
  • Professor-defined AI assistance boundaries

Notable Achievements

WaffleHacks 2024 - First Place (2024)

320+ participants

  • Built Chrome extension with RAG system for personalized learning in 24 hours

Aether Game Jam 2024 - First Place (2024)

  • Developed top-down horror game using Godot engine in 48 hrs
  • Implemented A* pathfinding algorithm and procedural map generation
  • Created custom sound design and atmospheric effects

Noderunner Hackathon - First Place

50+ participants

  • Solo implementation of distributed Raft consensus protocol in 18 hrs

Talentmapp Hack4Hire 2023 - First Place (2023)

300+ participants

  • Built full-stack task-tracking application with LLM integration
  • Tech stack: MongoDB, Flask, React.js, ChatGPT
  • Implemented secure backend and intelligent task suggestions
  • Deployed the solution in 8 hours

Finalist, NVIDIA SAP

  • Finalist in the NVIDIA Student Ambassador Program

Music Compositions & Media

Featured Works

My music draws inspiration from artists like Flume, Kasbo, Petit Biscuit, and Tourist, blending ethereal soundscapes with intricate electronic production. I'm particularly passionate about experimental sound design, with granular synthesis being one of my favorite techniques for creating atmospheric pads and textures. My work explores the space between melodic electronic music and experimental sound design, always pushing to find new and interesting ways to craft surprising yet pleasing sonic experiences.

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