ivy league PhD candidate (dropped out after getting MS) ex Research Engineer at Family office moved to a fund and incubated a startup as a founding tech eng - exited after selling the software later the firm tried drug discovery path with technical platforms and failed recently IC at two public companies (consultant) publications in applied ai (one in springer and others at 2 top informatics conferences) extraordinary alien visa working since 2016 two years at Presbyterian Hospital as a data scientist 1) Something I’ve built end-to-end I’m proud of At Grifols/Alkahest I built an “AI Neurologist” from scratch—ingestion of messy EHR data → agentic labeling → cohort rules → eval/observability → a simple UI. It shrank PD cohort triage from months of clinician time to minutes and is projected to save ~$X Millions/year and Y months of time At NY-Presbyterian I turned raw Epic-EMR notes into a semi-supervised triage agent that auto-flagged 75% more (saving lives of 79 high risk kids in 2021) otherwise-missed critical-risk paediatric Emergency Department and ICU cases and continues to assist nurses and clinicians, cut nurse alert time from hours to seconds, and generated three peer-reviewed papers. 2) What I spike on / 10x strengths Zero-to-one execution: I turn vague goals and messy data into a reliable, observable product fast. Strengths: ruthless scoping, clean data/infra contracts, pragmatic ML (measure → iterate), crisp communication with stakeholders, and calm shipping under pressure. https://www.paritoshkulkarni.space/ https://scholar.google.com/citations?user=-ENp5UAAAAAJ&hl=en https://www.linkedin.com/in/paritoshkul I'm looking for member of technical staff or similar staff level roles (target range 230k+ 0.75%+ equity in seed and above companies)