Jay Chhaya
Backend Systems & AI Architect
I'm a systems architect obsessed with building production-grade infrastructure and scaling AI workloads.
From designing early networking utilities to orchestrating complex MLOps pipelines my approach always centers on rigorous system architecture before writing a single line of code.
My technical focus lies at the intersection of backend engineering and GPU infrastructure. I specialize in building custom containerized environments for heavy machine learning models, optimizing VRAM thresholds, and configuring automated, serverless GPU deployments with advanced caching strategies on platforms like Modal.
Currently building Tarang, a full-stack AI studio that handles voice cloning at scale using distributed workers, async queues, and highly optimized inference infrastructure.
Professional Experience
I've spent the past few years building systems and products, bridging the gap between digital marketing, backend engineering, and AI pipelines.
Starting at age 14, I grew a personal YouTube Channel to over 10,000+ subscribers, learning the ins and outs of SEO, content strategy, and digital retention purely through hands-on experimentation.
Later, during my internship at Miracle TechnoLabs, I designed search engine optimization models and modern web layouts, while at Just Web Digital I scaled enterprise-grade Java web backends using Spring MVC.
In my societal internship at Girganga Parivar Trust Official, I coordinated multi-team fund-raising drives, building immediate interpersonal trust and strengthening collaboration skills in real-world social environments.
Most recently, I've been architecting Tarang, a production-level AI Voice Studio. I engineered its entire distributed workflow using FastAPI, Next.js, Celery, and Redis, integrating serverless GPU management and Cloudflare R2 storage to process voice cloning at scale.
GitHub Contributions @chhaya-jay-56
Stack I use
Technologies I work with to build products that solve real problems
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