Hardik Bhora

Architected ZONOV AI Assistant, a production Chrome extension automating 8+ clinical workflow modules across multiple HMS/HIMS platforms, reducing manual data-entry time by ~70% per workflow cycle. Engineered a DOM-based workflow reconstruction engine with dynamic element fingerprinting, achieving 90%+ field resolution accuracy.

Constructed AI-driven workflow automation pipelines using n8n and OpenAI API orchestration, reducing manual processing time by ~60% across 3+ client automation deployments. Engineered reusable prompt engineering modules, improving AI model response accuracy by 35% for production automation use cases.

Designed and optimized ETL pipelines using Azure Data Factory and Azure Databricks, processing 10M+ records and reducing pipeline execution time by 35% via partition tuning and query optimization. Transformed large-scale structured datasets using PySpark and Hadoop, producing analytics-ready output consumed by 4+ downstream reporting workstreams.

Completed the Data Analytics Job Simulation from Deloitte Australia.

Earned the Microsoft Certified: Azure Fundamentals (AZ-900) certification.

Grade: 8.4/10

Pursued a Bachelor of Technology in Computer Science Engineering, achieving a CGPA of 8.4/10.

Completed the Introduction to Machine Learning course offered by NPTEL.

Received the Data Engineering Internship Certificate from Celebal Technologies.

Completed the Data Science Using Python certification.

Completed the Advanced Machine Learning Using Python certification.

Earned the Red Hat Certified System Administrator (RHCSA) certification.

Earned the Python Certification from Zeetron Network.