Document Intelligence & OCR Platform

AI-enabled document processing features improving operational efficiency by 40%.

Software Developer Engineer — Backend, AI/ML Integration, Performance

Python

Node.js

Spring Boot

PostgreSQL

Docker

AWS

AI/ML

+40%

Efficiency improvement

+40%

Query resolution speed

-35%

System latency reduction

The Problem

Manual document processing was slow and error-prone, creating bottlenecks in operational workflows and reducing team productivity.

The Solution

Built AI-enabled product features including a Document Intelligence & OCR Platform and an AI Support & Knowledge Assistant that automated document processing and improved query resolution speed.

Screenshots

OCR Processing Interface

AI Knowledge Assistant

Case Study

Context

Manual document processing created significant bottlenecks in operational workflows.
Teams spent hours manually extracting information from documents, reducing productivity.
Support teams struggled with slow query resolution due to lack of intelligent search.

Decision

Build AI-enabled features to automate document processing and improve search capabilities.
Focus on OCR and document intelligence to extract structured data from unstructured documents.
Create an AI Support Assistant to improve query resolution speed.

Execution

Designed and implemented microservices architecture for scalable document processing.
Built Document Intelligence & OCR Platform using Python, AWS, and ML integrations.
Implemented APIs with optimized performance, reducing system latency significantly.
Created AI Support & Knowledge Assistant for intelligent query handling.
Deployed using Docker and Kubernetes for reliable scaling.

Outcome

Improved operational efficiency by 40% through automated document processing.
Increased query resolution speed by 40% with AI-powered search and assistance.
Reduced system latency by 30-35% through API optimization.
Enabled teams to process documents in minutes instead of hours.

Learnings

AI-enabled features deliver exponential value when they solve clear operational pain points.
Performance optimization should be continuous, not an afterthought.
Microservices architecture enables independent scaling of high-demand features.

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