Sai Ravi Teja Gangavarapu
AI & audio researcher, full‑stack engineer, founder / product builder
floaredor
Pittsburgh, Pennsylvania
Joined October 2025
Network
279 connectionsSummary
Audio‑centric AI researcher and practitioner: Sai combines formal research (Google Scholar profile listing CMU affiliation and conference/workshop papers) with hands‑on audio and music projects. He co‑authored work on emotion‑aligned music composition (CEC 2024) and music‑genre classification, showing a focus on music information retrieval, audio processing, and algorithmic composition. google+2
Full‑stack engineer and ML builder: public repositories and pinned projects on GitHub (FloareDor) plus Devpost projects (e.g., ALIGNED) demonstrate strengths in backend (Go, Python, FastAPI), frontend (React/Next), and deploying ML systems (Ray, HuggingFace, RLHF pipelines). He frequently ships end‑to‑end projects and participates in hackathons and team builds. github+2
Research background and academic collaboration: Sai has research outputs tied to Mahindra University (ResearchGate profile) and later work connected to Carnegie Mellon (verified cs.cmu.edu affiliation on Google Scholar). This combination of undergraduate research and graduate/visitor research roles underpins his technical publications and conference participation. researchgate+1
Leadership, entrepreneurship, and student community engagement: he has co‑founded early products (one AI click), served as Founding Engineer at a startup (Tapsta), and led student organizations (President and Dev Team Lead at Enigma), indicating initiative in product, community building, and leading small teams. linkedin+1
Work
Education
Projects
Writing
From clicks to insights: analysing online customer reviews for handicraft products
January 1, 2025A paper analysing large volumes of consumer reviews for craft products (co-authored; appears in Technology Analysis & Strategic Management, 2025 listing on scholar profile).
Emotion Aligned Music Composition from Sound Fundamentals Using Differential Evolution
January 1, 2024Work on audio/music composition aligned with emotion using differential evolution; listed in proceedings for IEEE CEC 2024.
Music Genre Classification Using Machine Learning Techniques
January 1, 2023Team project / paper describing a comparative study of ML algorithms for music genre classification.
Similar profiles
NL
NIKHIL LONDHE
Software Engineer II at Yugabyte
1.4K connections
YHYuxiang Huang
Incoming Software Engineer Intern at Meta
1.1K connections
HSHarris Stolzenberg
Partner at Pear VC
18.8K connections
SRSai Ravi Teja Gangavarapu
58 connections
JWJohn Whaley
Chief Technology Officer at Textla
14.2K connections
NLnick linck
Founder at The Residency
23.2K connections