Krishna Dronavalli
Senior RPA Developer | UiPath Advanced | Automation Anywhere A360 | Power Automate | Agentic AI | Python | Intelligent Automation Specialist
- Role
- Sr Rpa Developer at Centene Corporation
- Location
- Ridgewood, NJ, US
- LinkedIn followers
- 500 followers
About Krishna Dronavalli
I am a Senior RPA Developer with 9+ years of experience designing, developing, and scaling intelligent automation solutions across healthcare, finance, logistics, and enterprise operations. My expertise spans UiPath (Advanced), Automation Anywhere A360, Power Automate, Python (AI/ML), Agentic AI, Document Understanding, API automation, and workflow orchestration.I specialize in building high-impact automations that reduce manual effort, improve accuracy, and deliver measurable ROI. I have led end-to-end automation lifecycles, including process discovery, feasibility assessment, solution architecture, development, testing, deployment, and production support (L1–L3).Key strengths include:>UiPath REFramework, Orchestrator, Test Suite, Communication Mining & Agentic AI>Automation Anywhere A360 bot development, AARI forms, queue-based processing>Power Automate cloud flows, connectors, approvals, triggers, API integrations>Python scripting for API calls, ML models, data processing & intelligent automation>Healthcare domain expertise (FACETS, RCM, claims, eligibility, EDI 834)>Strong stakeholder collaboration, Agile delivery, and cross-functional communicationI am passionate about automation strategy, scalability, and helping organizations accelerate their digital transformation roadmap.Open to full-time Sr. RPA Developer / Intelligent Automation Engineer roles.
Experience
Sr Rpa Developer
Apr 2021 — Present · Frisco, TX, US
Summary:Senior RPA Developer delivering UiPath, A360, Power Automate, and Python-based automations across Claims, RCM, Provider Ops, and Enrollment.Built scalable REFramework workflows, integrated APIs, and automated FACETS/CCA/MACCESS systems.Implemented Agentic AI, Document Understanding, and advanced OCR solutions to handle structured and unstructured healthcare data.Impact:Reduced processing time by 65% and eliminated manual cross-system navigation through system integrations and automation.Improved data accuracy and decision-making using Python-driven validations and AI-enhanced workflows.Enhanced operational efficiency by automating high-volume member, claims, and RCM workflows, achieving 90% bot uptime.
Education
East Texas A&M University
Master of Science - MS, Computer and Information Sciences and Support Services
2017 — 2018
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