Rishikesh A.
CVS Health – Enterprise Outcome
- Role
- Senior Software Engineer at TrueFoundry
- Location
- San Mateo, CA, US
- LinkedIn followers
- 500 followers
About Rishikesh A.
I\'m Rishikesh Anand, an aspiring Software Engineering Graduate from Arizona State University, specializing in Cloud, DevOps, and MLOps, with a background in full-stack development. My journey is highlighted by a keen focus on enhancing software development efficiencies through data-driven insights, particularly in open-source software. With a passion for technology and innovation, I\'ve contributed to various projects that underscore my commitment to driving forward the future of tech. I\'m excited to connect and collaborate with like-minded professionals and contribute to transformative projects in the tech industry.
Experience
Senior Software Engineer
Jul 2024 — Present · San Francisco, CA, US
At TrueFoundry, I worked full-time with CVS Health to architect and deploy production-grade Generative AI applications. My work focused on automating complex pharmacy operations and patient scheduling workflows using agentic AI and browser automation.Key Projects & Responsibilities:1. Retail IVR (Pharmacy Automation) • Core Flow Development: Engineered and implemented core pharmacy flows—including Refill, Cancel, Expedite, and Transfer—enabling millions of customers to manage prescriptions monthly across the CVS ecosystem. • Operational Efficiency: Successfully reduced turnaround time (TTR) for customer queries and significantly lowered call wait times by automating resolutions that previously required human intervention. • Scalable Framework: Built an extensible internal framework to rapidly iterate on AI agents. This system currently supports inbound initiatives ranging from pharmacy acquisitions to complex insurance-related queries and store-specific FAQ agents.2. Browser Automation & Agentic Scheduling • Agentic Workflows: Developed sophisticated workflows that guide users through medical questionnaires to facilitate appointment scheduling. • Hybrid Booking System: Implemented a robust booking engine that integrates with: • MinuteClinic internal systems. • Prescribing doctor databases for existing customers. • Generic doctor searches via NPI-id integration. • Dynamic Execution: Orchestrated a hybrid approach utilizing API-based booking where available, with a fallback to browser automation for navigating external provider booking URLs.3. Optimization, Security & Safeguards • Cost Efficiency: Optimized operational costs by implementing a layered LLM strategy, routing simpler queries to cost-effective models while reserving advanced LLMs for technical tasks. • System Integrity: Developed rule-based safeguards to prevent system gaming and ensure data accuracy within medical workflows.
Education
Arizona State University
Master of Science - MS
2022 — 2024
National Institute of Technology Delhi
Bachelor of Technology - BTech
2018 — 2022
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