Nihal Gazi - AI Developer, Researcher, and VFX Creator

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Impact Highlights

🔊 Realistic TTS Unlimited: 100K+ visits on Hugging Face, trending for 2+ months.
🧠 Built a neural net library from scratch in Java at age 17.
🧬 Invented novel handwriting AI without neural nets.
📄 Written research paper on color transfer (IJNRD accepted, 94% uniqueness).
🎓 Finalist in PAIR program by MIT-linked FABRIC, personally interviewed by David Girardo.
🌐 Full-stack dev, created my own social media app from scratch.

Featured Projects

Text-To-Speech Unlimited

Ultra-realistic TTS using OpenAI + optimizations. 100K+ visits.

Azinet (Java NN Lib)

Simple from-scratch neural net library in Java. Educational and performant.

Flux Pro

Highly optimized real-time inference & control interface. 170K+ visits.

Stranger Chat

Social chat replica with full backend & frontend. Talk with AI strangers in real-time.

Why I Build

I’ve always believed technology is a tool for empowerment. I started coding at 9, not for school, but to solve creative problems— whether that meant building VFX in Blender, generating handwriting without neural nets, or composing music with procedural AI. I don't just learn frameworks — I build systems. My goal is to create things that are useful, intuitive, and deeply technical.

Contact

Email: nihalg2006@gmail.com
GitHub: nihal-gazi
Hugging Face: @NihalGazi
Instagram: @nihal_gazi_io