AVAILABLE FOR SELECTIVE PROJECTS

ENGINEERING SCALABLE SYSTEMS

Aryan Sharma is a Full-Stack Systems Engineer specializing in production-grade Python infrastructures, custom data pipelines, and event-driven automation architectures. He builds robust backend services and clean Next.js interfaces that drive core business logic.

View Projects →→Contact
Core Technologies

Production-Grade Tech Stack

Next.js
Tailwind CSS
Vercel
React
Selected Work

Systems, Pipelines & Architectures

High-performance tools, automated workers, and reliable production pipelines built to solve complex engineering challenges.

Core Production Work01

Julius

Industry-grade automated media processing pipeline for high-volume video workflows utilizing parallel rendering tasks and Redis-backed queue workers.

  • Parallelized rendering tasks
  • Redis-backed queue workers
  • Collapsed end-to-end runtime from 30 min to under 5 min
Specialized Utility Applications02

Agency Cold Outreach

Contextual scraping and automated outreach pipeline.

  • Contextual scraping
  • Automated outreach pipeline
Specialized Utility Applications03

WaveClip

Local-first desktop audio clipper and waveform editor.

  • Local-first execution
  • Desktop audio clipper
  • Waveform editor
Specialized Utility Applications04

Social Safe-Zone Previewer

9:16 layout compiler tracking platform UI overlays.

  • 9:16 layout compilation
  • Platform UI overlay tracking
Specialized Utility Applications05

Invoice Studio

Local-first client invoicing and tax record generator.

  • Local-first security
  • Client invoicing
  • Tax record generation
Specialized Utility Applications06

Automated Design System

Strict JSON token compiler to streamline assets.

  • Strict JSON token compiler
  • Asset streamlining
Engineering Philosophy

Architecture & Value Proposition

Architects reliable, high-performance data layers, automated workers, and clean interfaces that solve complex operational problems without creating new ones.

01

Extensive production experience in industrial-scale FFmpeg render DAGs

02

Proven track record of collapsing media processing runtimes from 30 minutes to under 5 minutes

03

End-to-end full-stack capability from Python backends to Next.js interfaces

04

Published research in VR and binaural audio meditation systems

Initiate Collaboration

Ready to Build Resilient Infrastructure?

Available for custom data pipelines, high-throughput automation architectures, and Next.js full-stack systems.

Get In Touch Directly
📍 Indore, Madhya Pradesh, India