I build products that close enterprise deals. I started Carez AI at McGill and grew it into a venture backed deep tech company in NYC. I run tight discovery, ship weekly, and handle legal and security so buyers can say yes.
Focus: product strategy, enterprise GTM, AI evaluation, and founder style execution.
Synthetic imaging and evaluation used by hospitals, pharma, and imaging OEMs. I owned product and GTM, from research translation to legal, security, and closing.
- Diffusion and CLIP guided priors for MRI, CT, ultrasound long tail gaps
- DICOM ingestion, PHI safe anonymization, lineage and reproducible runs
- Paired and blinded reader studies with buyer accepted scorecards
- 45%+ lift in rare class recall on validation sets
- 7 day average for security and data review
- 2.3× faster model iteration with synthetic augmentation
- Sold to hospitals, CROs, and imaging vendors under strict governance
- IRB ready pipelines, vendor risk packages, privacy impact assessments
- Legal and security reviews led by me with clear pass or fail gates
- Versioned datasets and checkpoints with deterministic seeds
- Evaluation API returns paired metrics and bias summaries
- Security and legal packages prepared to shorten approvals
- Reader provenance and PHI flow diagrams included
Product strategy Zero to private beta in eight weeks▸
- PRD to release cadence of four drops per month
- Acceptance criteria and rollback plans
- Roadmap tied to outcomes and cost of delay
Growth and GTM Founder led sales to references▸
- $800K qualified pipeline, twenty enterprise pilots around $40K ACV
- Design partner motion with reference first pricing
- Security packages that compress approvals to seven days
Data and AI Evaluation buyers trust▸
- Python, SQL, PyTorch, simple decision grade metrics
- Human in the loop review with bias summaries
- Forty five percent plus lift in rare class recall
Enterprise and partnerships Hospitals, CROs, imaging OEMs▸
- IRB ready data flows and vendor risk artifacts
- Exec narrative that aligns legal, IT, and clinical
- Clear pass or fail gates for decision owners
Organic reach
2.1M+
Reddit and Twitter
- Generated 100 plus qualified demos with technical threads, live benchmarks, and teardown posts.
- Converted content into pipeline in about thirty days with clear scorecards and fast follow ups.
- Repeatable loop, content to community to references, aligned with enterprise buyers.
- Top of funnel, technical posts, demos, and benchmarks
- Discovery loop, thirty minute calls, problem inventory, PRD in forty eight hours
- Proof, blinded scorecards and security pack, pilot proposal in seven days
- Conversion, reference first pricing, expansion in success criteria
- Write PRDs, ship weekly, run reader studies with audit trails
- Handle legal, security, and procurement so buyers can say yes faster
- Tell a wedge to platform story that execs and engineers trust
2025 United Nations, WIPO Conversation Open ↗
Invited speaker on synthetic medical data and ethics.
2025 AI for Pharma Growth, podcast Open ↗
Scaling synthetic imaging for clinical validation.
2025 McGill Delve, interview Open ↗
Inside a startup using AI for medical imaging.
2024 ERA NYC, Demo Day Open ↗
Pitched live to four hundred plus investors in New York City.
2024 CIRSE Congress, industry feature Open ↗
Highlight on AI powered image enhancement.
2024 21st Century Tech, article Open ↗
Coverage of synthetic medical imaging.
2024 GEST, AI in Embolization Open ↗
Feature on AI in interventional radiology.





