Jane Soriano
AI Screening
Danielle is an early-career software engineer with solid full-stack development skills and some AI integration exposure, but she lacks the core competencies this role demands: hands-on experience with LLM APIs, no-code/low-code automation platforms (Zapier, Make, n8n), and operational workflow design. Her background is predominantly traditional software engineering and project-based work rather than the AI-native, ops-focused tooling builder profile the role requires. While her ChronaMed project shows systems thinking and AI-adjacent work, there is no evidence of the specific toolchain or operator mindset central to this position.
Skills Detected
Key Achievements
- Built ChronaMed, an AI-powered medical scheduling application that reduced manual scheduling by 75% with 99.5% uptime
- Optimized PostgreSQL queries at ChronaMed reducing response time by 85% (800ms to 120ms)
- Increased artist engagement by 30% through strategic metadata optimization during internship at Primary Wave
Strengths
- Demonstrated ability to build full-stack applications end-to-end with real-world impact, including AI-powered scheduling in ChronaMed that reduced manual work by 75%
- Strong documentation habits evidenced by technical documentation work at the Metropolitan Opera improving team efficiency by 25%
- Solid API integration experience including third-party APIs (Spotify, USDA FoodData Central) and PostgreSQL database design, providing a foundation for workflow automation work
Gaps
- No demonstrated experience with LLM APIs (OpenAI, Claude, etc.) or AI automation platforms like Zapier, Make, or n8n — the core technical requirement of the role
- No evidence of operational or product thinking in a startup environment; her experience skews toward traditional software engineering and internships rather than identifying business problems and shipping AI solutions independently
- Zero exposure to the internal tooling stack mentioned (Supabase, Airtable, Retool) and no ops or product role experience, making her a poor fit for the 'AI Product Operator' archetype despite her engineering ability
Interview
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Application Details
- Role
- AI Product Operator
- Applied
- 4/12/2026
- Resume
- Shokrian_ATS_Resume.pdf