Harit Shandilya

RPA automation engineer with 4 years of experience building robust, scalable RPA systems for healthcare and enterprise operations. Known for driving process excellence using UiPath, RESTful APIs, and intelligent document processing.

Advancing Agentic

Automation with strong foundations in AI/ML, NLP, and LLM pipelines, backed by hands-on project execution in data analysis, model tuning, and fine-tuning transformer models.

Automation Engineer 2 - Regeneron (Client) - Biotale AI Labs - Remote

(2025-09)

• Engineered end-to-end RPA workflows for Oracle EBS and MS Office, automating complex pharmaceutical data entry and document generation with 90%+ process accuracy.
• Architected advanced POCs using UiPath Intelligent Experience Platform (IXP), improving document processing sustainability and reducing maintenance overhead by 40%.
• Developed modular automation components within ReFramework to facilitate secure, distributed execution across AI Center (AI Fabric) and Document Understanding pipelines.
• Optimized high-volume PDF and Word data extraction workflows, achieving a 60% reduction in manual handling time for regulatory compliance documentation.

RPA Developer - Revival Health - Remote

(2024-02 - 2025-06)

• Designed scalable RPA workflows for Revenue Cycle Management (RCM), automating eligibility and claim filing to drive 100%+ ROI for US-based healthcare providers.
• Integrated EHR/PM systems with major payer portals via UiPath and AWS Lambda APIs, slashing operational processing time by 70%.
• Deployed Document Understanding models to automate authorization retrieval, reducing manual document sorting errors by 90% across eye-surgery center operations.
• Managed secure, distributed execution of healthcare bots utilizing Azure Functions and Python-based APIs, ensuring HIPAA-compliant data handling for thousands of patient records.

RPA Developer – Bayer Pharmaceuticals (Client) - Tata Consultancy Services (TCS) - Noida

(2021-07 - 2024-01)

• Implemented AI-driven extraction for pre-batch release analysis, cutting processing time by 80% and reducing critical drug analysis error rates by 95%.
• Orchestrated enterprise-wide automation for Finance and Supply Chain units using UiPath Orchestrator, streamlining sales operations across global pharmaceutical hubs.
• Developed reusable UiPath utility packages and libraries that were adopted company-wide, reducing development lifecycles for new bots by 30%.
• Built automated compliance reporting pipelines, enhancing audit visibility and ensuring 100% operational consistency for regulated pharmaceutical workflows.
• Recognized as a Top 10 Coder (Ranked 6th out of 100K+) for developing high-performance algorithms and robust VB.Net/Python automation scripts.

Masters - Data Science - Deakin University (2025)

Post Graduate Program - Artificial Intelligence & Machine Learning - University of Texas at Austin (2024 - 2025)

Bachelors of Technology - Computer Science and Engineering (Honours) - Dr. A.P.J. Abdul Kalam Technical University, Lucknow (2017 - 2021)