Team
AnchorCare
Project Concept
No description has been added yet.
Entry
Status: Submitted
Last saved: May 09 at 5:28 PM PDT
Team Roster
Message board not available for this team yet.
Avinash Vijay Ahuja Team Lead RSVP Approved
Senior Manager at Walmart
Avinash Ahuja — Product, Architecture & Frontend Engineering
Avinash led the product vision, system architecture, and end-to-end generative UI experience for Anchor. He designed the core architecture connecting the three-instrument clinical scoring engine, A2UI UIPlan schema, AG-UI SSE streaming pipeline, MCP tool layer, and generative layout composition system. He built major parts of the React frontend, including the FamilyLoadMeter, CarePlanCard, live tone-chip draft regeneration flow, and FloatingChatDrawer. He also shaped the demo narrative, product positioning, and judging story, ensuring that CopilotKit, AG-UI, A2UI, and MCP were not just added as technical labels but integrated into one coherent, working caregiving product experience.
Avinash Ahuja is a Senior Manager at Walmart, located in San Jose, California. He holds degrees from Penn State University and the University of Mumbai.
Leading Walmart Marketplace analytics, focusing on pricing, incentives, and seller strategy. Building scalable decision systems, optimization models, and digital twin simulations using Python, SQL, PySpark, and Databricks to drive multi-million-dollar impact through experimentation and AI/ML.
Danh Cong Pham RSVP Approved
AI Engineer at NextPhase AI
Dan — Mobile, Authentication & External Integrations
Dan led the mobile and integration layer that made Anchor feel actionable beyond the dashboard. He built the authentication and sign-in flow, giving caregivers a secure and personalized entry point into the app. He integrated SMS notifications so that when Anchor detects an amber or red threshold, the right family member can receive a real text message instead of relying only on an on-screen alert. He also connected Anchor to Notion as a structured observation database, allowing parsed caregiver signals to be permanently logged, searchable, and shareable with the wider care team. His work helped close the loop between agent-generated insight and real-world family coordination.
Danh Pham is an AI Engineer at NextPhase.ai, based in San Francisco, California. He holds degrees in Computer Science and Mathematics from San Francisco State University and San Jose City College, respectively. With two years of experience, Danh focuses on developing and integrating production-ready ML models into applications, utilizing applied AI/ML and software engineering principles with Python and ML frameworks. His past work includes co-founding and serving as CTO for an AI tutoring platform and developing software at stealth startups. Danh is interested in partnerships, product review, and technical architecture, seeking knowledge sharing, community, and friendships. He prefers warm introductions and contact via email.
applied AI/ML, software engineering, technical architecture, product review, partnerships, model development and integration, production-ready ML models, knowledge sharing, community building
At NextPhase.ai, work involves developing and integrating production-ready ML models into applications, focusing on applied AI/ML and software engineering. Key activities include model development, debugging, and architecting technical solutions using Python and ML frameworks. Previous experience includes building an AI tutoring platform as a co-founder/CTO and developing software at stealth startups, utilizing tools like Git, Docker, and REST APIs to ship functional AI systems.