I specialize in designing and deploying AI-powered systems that automate business operations, streamline workflows, and transform complex processes into scalable digital platforms.

My work sits at the intersection of:

• Artificial Intelligence
• Azure Cloud Engineering
• Data Engineering
• Intelligent Automation
• Enterprise Software Development

Rather than building AI demos, I focus on delivering production-ready systems that create measurable operational impact.

Designing end-to-end AI systems that combine:

• Azure OpenAI
• LLM Applications
• Agentic Workflows
• AI Copilots
• Intelligent Document Processing
• Human-in-the-Loop Automation
• Retrieval-Augmented Generation (RAG)

Building cloud-native solutions using:

• Azure OpenAI Service
• Azure Document Intelligence
• Azure Blob Storage
• Azure App Service
• Azure AI Foundry
• Azure Data Platforms
• Operational Analytics Pipelines

Automating business processes through:

• Workflow Orchestration
• Process Automation
• Playwright Automation
• Enterprise Integrations
• Event-Driven Systems
• Operational Intelligence Platforms

MedSure automates medication ordering workflows for healthcare providers, reducing manual administration and improving operational efficiency.

• Medication ordering automation
• Provider connector architecture
• Branch-aware operations
• Approval workflows
• Audit logging
• Automated submission pipelines
• Healthcare process automation

Python • Django • PostgreSQL • Playwright • Azure

A multi-module healthcare ecosystem designed to modernize care operations through AI, automation, analytics, and operational intelligence.

• MedSure
• CareComms
• CareMind
• StaffSphere
• TalentSphere
• InsightSphere

• Healthcare AI
• Workforce Operations
• Compliance Analytics
• Intelligent Communications
• Operational Automation

An AI-driven platform that automates job discovery, application preparation, and submission workflows while keeping users in control of final decisions.

• Intelligent job discovery
• Semantic job matching
• CV parsing and analysis
• AI-generated tailoring
• Cover letter generation
• Automated application workflows
• Human review checkpoints

• Azure OpenAI
• Azure Document Intelligence
• Azure Blob Storage
• Azure App Services

FastAPI • Python • Playwright • Azure

Designed and deployed a machine learning platform supporting:

• Model training
• Experiment tracking
• CI/CD pipelines
• API deployment
• Monitoring
• Cloud-native infrastructure

Python • FastAPI • Docker • AWS • MLflow

Python | SQL | R | JavaScript | Java

Azure OpenAI | Scikit-Learn | TensorFlow | PyTorch | XGBoost

PostgreSQL | MSSQL | MySQL | Pandas | Spark

Microsoft Azure | AWS

Django | FastAPI | REST APIs | Microservices

Playwright | Celery | Redis

Power BI | Data Warehousing | Business Intelligence

Machine Learning-Based Analysis for Secure and Efficient Cross-Border Funds Transfer Using Cryptocurrencies

Research Areas:

• Blockchain Analytics
• Machine Learning
• Financial Systems
• Predictive Modelling
• Large-Scale Data Analysis

Dataset:

100,000+ Ethereum blockchain transactions analyzed using machine learning techniques.

I am particularly interested in opportunities involving:

• AI Systems Engineering
• Azure AI Engineering
• Data Engineering
• Intelligent Automation
• Applied Machine Learning
• Enterprise AI Platforms
• Healthcare Technology
• Operational Intelligence Systems

My goal is to build intelligent systems that automate repetitive work, augment human decision-making, and create measurable business value through AI and cloud technologies.

Open to discussions around:

• AI Engineering
• Azure AI Solutions
• Data Engineering
• Intelligent Automation
• Healthcare Technology
• Enterprise Platform Development

Always interested in collaborating on impactful AI and automation initiatives.