Applied AI in Production
AI & LLM Use Cases
Real-world AI systems I've built to automate operations, reduce manual effort, and improve decision-making at scale.
Featured Project
AI-Driven Invoice Automation System
N8NOCRAzure OpenAIAPI Integration
Automated invoice processing by combining OCR and LLM-based validation to extract, classify, and integrate data into ERP systems → eliminated manual data entry and improved accuracy.
OCR → LLM → Validation → ERP API
⚡ 85% faster processing · 98% accuracy
AI-Powered Customer Feedback Analytics
LLMNLPSentiment Analysis
Built an AI pipeline to analyze large-scale customer feedback, classify sentiment, and identify recurring product issues → enabled data-driven decision-making.
⚡ 90% reduction in manual analysis
Intelligent Lead Qualification System
AI ClassificationWorkflow Automation
Developed an AI-assisted workflow to classify and prioritize leads using automation logic and NLP → improved response time and conversion efficiency.
⚡ Faster response & improved conversions
AI-Driven IT Incident Automation
LLMITSMAuto-Remediation
Designed a system to classify ITSM tickets using LLMs and trigger automated remediation workflows → reduced manual triage effort and improved incident response.
⚡ Reduced triage time significantly
AI-Based Log Intelligence System
AILog AnalysisMonitoring
Built an AI-assisted log analysis pipeline to detect anomalies and trigger proactive alerts → improved system reliability and reduced downtime.
⚡ Reduced downtime & improved reliability
Autonomous Infrastructure Automation
StackStormPythonMonitoring
Developed monitoring-driven automation systems that detect and resolve infrastructure issues automatically → enabled self-healing IT operations.
⚡ 90% reduction in IT downtime