Full Stack

FullStack
Automation Platform

End-to-End Automation for Electronics Manufacturing A full-stack automation platform built with FastAPI (backend) and React (frontend), engineered to streamline capacitor design, costing, and testing workflows. Powered by advanced algorithms and intelligent process automation, the system transforms complex engineering calculations and production workflows into fast, reliable, and scalable digital operations.

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FullStack Automation Platform
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Tech Stack

Technologies Used

Built with cutting-edge technologies to ensure scalability, reliability, and performance

FAST API FAST API
Python Python
NumPy NumPY
React React
Process

How It Works

A closer look at the automated workflow behind the results

1

Design Input

Engineers submit capacitor design parameters through the React interface, replacing manual spreadsheets with a structured intake form.

2

Automated Calculation Engine

The FastAPI backend runs NumPy-powered algorithms to compute costing, tolerances, and engineering specifications in real time.

3

Validated Test Output

Results pass through automated testing workflows before being delivered as production-ready specifications, cutting rework and errors.

Metrics

Results & Impact

Measurable outcomes that demonstrate the real-world value delivered to the client

Accelerated design & engineering workflows by 60%, handling 500+ capacitor designs
Reduced testing & validation cycles by 50%, completing 200+ tests per week
Improved process accuracy to 98%, minimizing rework and inconsistencies
Enabled scalable manufacturing, supporting 3× higher production throughput
Why It Matters

Business Impact

For engineering and manufacturing teams, capacitor design and costing traditionally rely on manual spreadsheets and calculations that are slow to update and easy to get wrong. Replacing that process with a structured platform gives engineers instant, reliable specifications and shifts testing from a bottleneck into a fast, repeatable step. The result is fewer costly errors reaching production, less time spent on rework, and a workflow that can scale to higher manufacturing volume without slowing engineering down.

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