# Rishikesh A.

> CVS Health – Enterprise Outcome

Location: San Mateo, California, United States
Profile: https://flows.cv/rishikesha

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.

## Work Experience
### Senior Software Engineer @ TrueFoundry
Jan 2024 – Present | San Francisco, CA
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.

### Graduate Research Assistant @ Arizona State University
Jan 2023 – Jan 2024 | Tempe, Arizona, United States

### Graduate Student Assistant @ Arizona State University
Jan 2023 – Jan 2023 | Tempe, Arizona, United States

### Research Aide @ Arizona State University
Jan 2023 – Jan 2023 | Tempe, Arizona, United States

### Software Development Engineer @ TrueFoundry
Jan 2021 – Jan 2022
• Implemented a schema driven form rendering tech using an Open API spec generating
both Frontend and Backend code, increasing development efficiency by 60%.
• Constructed several service data aggregation, representation, and comparison
infrastructure enabling customers to iterate on ML models 3 times faster.
• Built automated service deployment flows for ML models utilizing IaC(Infrastructure as
Code) tools such as Terraform and CDK for Terraform targeting AWS and GCP.

### Fellow at FOSSEE, Indian Institute of Technology, Bombay (IITB) @ FOSSEE
Jan 2020 – Jan 2020 | Mumbai, Maharashtra, India
• Developed software to assist Chemical Engineering Labs in constructing Process Flow Diagrams to Spec
• Coined best software at the presentation panel


## Education
### Master of Science - MS in Computer Software Engineering
Arizona State University

### Bachelor of Technology - BTech in Computer Science
National Institute of Technology Delhi


## Contact & Social
- LinkedIn: https://linkedin.com/in/blakeinstein
- Portfolio: https://blaine.is-a.dev

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Source: https://flows.cv/rishikesha
JSON Resume: https://flows.cv/rishikesha/resume.json
Last updated: 2026-03-29