Open to opportunities

Hardik Bhora

@hardikbhora

Message

Senior AI Engineer building production-grade AI agents and browser automation for healthcare HMS/HIMS workflows.

India

Message

What I'm looking for

I want to build production-grade AI agents and browser automation that integrate cleanly with APIs, focusing on healthcare workflows, fast onboarding, and measurable time savings—working end-to-end from orchestration to cloud data pipelines.

I’m a Senior AI Engineer with production experience building AI-powered browser automation systems, multi-agent healthcare workflow platforms, and scalable Chrome extension pipelines. I’m currently leading development of ZONOV AI Assistant — a browser-based HMS/HIMS automation engine covering 8+ clinical modules across heterogeneous healthcare platforms, reducing manual data-entry time by ~70% per workflow cycle.

I engineered a DOM-based workflow reconstruction engine with dynamic element fingerprinting for zero-configuration onboarding and achieved 90%+ field resolution accuracy. I also implemented AI-assisted dynamic field mapping to eliminate 90% of manual configuration effort, and built a network interception + API integration layer to capture, parse, and replay clinical API payloads for persistent multi-session automation across 5+ HMS systems.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Zonov.ai (Growit Healthcare)

Apr 2026 - Present (2 months)

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. Built DOM reconstruction and dynamic field mapping to achieve 90%+ field resolution accuracy and reduce integration configuration effort by 90%.

Chrome Extension development AI Agents Prompt Engineering REST APIs fastAPI Azure Data Factory

AI/ML Engineer Intern

KodeCrave Technologies

Jul 2025 - Mar 2026 (8 months)

Built AI-driven workflow automation pipelines using n8n and the OpenAI API, reducing manual processing time by ~60% across 3+ client deployments. Developed reusable prompt engineering modules (few-shot and structured outputs), improving production automation accuracy by 35%.

OpenAI API N8n Prompt Engineering AI Orchestration Workflow Automation Few Shot Learning Structured Outputs Python

Data Engineering Intern

Celebal Technologies

Jun 2024 - Oct 2024 (4 months)

Designed and optimized Azure Data Factory and Azure Databricks ETL pipelines processing 10M+ records, reducing execution time by 35% via partition tuning and query optimization. Automated Python/SQL data validation to eliminate 95% of downstream data issues and improve reporting-layer reliability.