# Ravi Kiran Yalamanchili

> Co-Founder & Head of Product/Engineering @ CurieAI | Building DealFriend — AI Shopping Friend

Profile: https://flows.cv/ravikiranyalamanchili

Builder. Co-founder. I turn problems into products.
 
Previously co-founded CurieAI as Head of Engineering and Product — scaling a cloud-native AI platform from zero to thousands of users in a regulated environment. Built production ML pipelines, real-time analytics systems, and complex integrations from the ground up.

Currently exploring a problem I kept running into: AI coding agents work from a stale snapshot of your codebase. Functions get renamed, interfaces deleted, new modules added — the agent doesn't know. In agentic workflows it ships before anyone catches it.

Built Context Debt to detect this. It parses your TypeScript AST and scores how stale your AI config files are against the real codebase.

npx @context-debt/core audit .

If you've hit this problem or are running autonomous AI agents on a codebase — I'd genuinely love to hear about your experience.

🔗 github.com/ravikiranyalamanchili/context-debt


Most recently built DealFriend — an AI shopping friend with a real face and voice. You describe your problem, she finds the best products across every store. Built and shipped in 48 hours with real user validation on day 1.
 
🔗 getdealfriend.com

## Work Experience
### Founding engineer @ READE.ai
Jan 2025 – Invalid Date
Building the AI Neurologist — a real-time EEG ischemia detection platform for OR/ICU neurological monitoring. Leading ML modeling, EEG pipelines, cloud architecture, and early clinical partnerships.

### Co-Founder, Head of Product and Engineering @ CurieAi
Jan 2018 – Jan 2025 | San Jose, California
Co-founded CurieAI and led the engineering, product, data, and infrastructure efforts that powered a clinically used AI healthcare platform. Owned the full lifecycle from vision → architecture → delivery across remote patient monitoring, respiratory analytics, and clinician workflows.

Led the creation of a HIPAA/SOC2/HITRUST-compliant, cloud-native platform built using Kubernetes, Docker, microservices, and AWS. Architected multi-tenant, real-time data pipelines supporting continuous patient monitoring and ML inference. Scaled the system to thousands of active patients and multiple clinical partners.

Drove the product roadmap in collaboration with clinicians, founders, and cross-functional teams. Defined feature priorities, ran experiments, and translated clinical requirements into ML-driven product capabilities. Partnered with design, compliance, ML, QA, and operations to deliver high-impact solutions with strong usability and reliability.

Managed engineering execution across distributed teams. Established engineering processes, sprint management, DevOps automation, and CI/CD pipelines to accelerate delivery. Introduced privacy-by-design principles across the organization, ensuring GDPR, CCPA, HIPAA, and security alignment.

Collaborated with ML teams to deploy predictive models for respiratory deterioration, patient risk scoring, and alerting workflows. Built data ingestion and annotation pipelines to support model iteration and clinical validation.

Key achievements:
• Launched a production healthcare platform adopted by thousands of patients and multiple clinical teams.
• Improved patient engagement by 30% through privacy-centric UX and ML-driven design improvements.
• Reduced feature deployment time by 25% through process and architectural modernization.
• Built a resilient, scalable foundation that enabled CurieAI to operate in regulated healthcare environments.

### Software Engineer @ Facebook
Jan 2016 – Jan 2018

### Member of Technical Staff @ One Convergence Devices
Jan 2012 – Jan 2018 | San Francisco Bay Area
Led privacy-first product development for enterprise and consumer applications.

Partnered with global stakeholders to build scalable, secure network connectivity systems.

Developed enterprise-grade security solutions, integrating data protection, encryption, and access control mechanisms.

Designed consumer privacy frameworks for network security applications.

Key Achievements:

Developed privacy-enhancing security solutions adopted by major enterprise clients.

Improved system scalability, security, and performance, ensuring compliance with industry standards.

### VLSI design engineer @ CoMira Solutions Inc.
Jan 2011 – Jan 2012

### Research Assistant @ University of Pittsburgh
Jan 2009 – Jan 2011
Worked with the RFID Center of Excellence Group of university of Pittsburgh, were I have worked on the various RF related research projects such as classifying the interference on pacemakers with respect to RF, Effect of metal surface on RFID, etc


## Education
### M.S
University of Pittsburgh

### B. E
Jawaharlal Nehru Technological University


## Projects
### Navigation Menu
[Skip to content](https://github.com/ravikiranyalamanchili/context-debt#start-of-content)
Link: https://github.com/ravikiranyalamanchili/context-debt

### DealFriend — Personal Shopping Companion
Personal Shopping · Cross-Store Search
Link: https://www.getdealfriend.com/


## Contact & Social
- LinkedIn: https://linkedin.com/in/ravi-kiran-yalamanchili-88a4b528
- GitHub: https://github.com/ravikiranyalamanchili
- Portfolio: https://www.notion.so/Ravi-Kiran-Yalamanchili-Portfolio-346dcf8e29308028a96ae2331938ca78?source=copy_link
- Email: mailto:ravikiran2005@gmail.com

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Source: https://flows.cv/ravikiranyalamanchili
JSON Resume: https://flows.cv/ravikiranyalamanchili/resume.json
Last updated: 2026-04-18