Vetted Analysts in Remote

Pre-screened and vetted in Remote.

DF

Executive Startup Operator (COO) specializing in SaaS, AI/ML, and transformation

Remote, USA12y exp
FrankeliteUniversity of Pennsylvania
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DJ

Intern-level business development and finance analyst specializing in SaaS and investing

Remote3y exp
CloudForgeBrown University
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DH

Executive Business Operations & Strategic Operations leader specializing in Web3/AI and FinTech

Remote9y exp
NEAR FoundationBoise State University
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Cezanne Bianco - Senior Healthcare Data & Program Manager specializing in AI data annotation in Remote

Senior Healthcare Data & Program Manager specializing in AI data annotation

Remote6y exp
Precision Med StaffingUC Irvine
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KK

Senior GTM & Product leader specializing in FinTech, crypto, and early-stage investing

Remote, USA8y exp
FortiComplyNortheastern University
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IS

Irina Swan

Screened

Executive Product Leader specializing in Web3, startups, and 0-to-1 go-to-market

Remote, USA12y exp
Swan ConsultingStanford University

Founder/product manager building an operational longevity nutrition startup with a 500k community, growing primarily through organic social content and rapid weekly funnel experiments. Has launched a detox bundle via a major partnership with Hurom (expected to drive ~$500k ARR) and is building a pipeline of partnerships plus planned corporate sales; preparing to raise $500k–$1M and applying to accelerators.

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GM

Senior Account Executive specializing in founder-led SaaS and finance solutions

Remote, USA12y exp
Forecastr
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GM

Senior Account Executive specializing in founder-led SaaS sales

Remote12y exp
Forecastr
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Surya Vamshi Sriperambudooru - Mid-level AI Engineer specializing in healthcare claims analytics and RAG copilots in Remote, US

Mid-level AI Engineer specializing in healthcare claims analytics and RAG copilots

Remote, US4y exp
CodoxoUniversity of Texas at Dallas

Built a production "appeals co-pilot" for a healthcare claims appeals team, combining an XGBoost/logistic ranking model with a Python/LangChain RAG stack (FAISS + Mistral 7B) to surface high-probability appeal wins and speed policy-grounded drafting. Emphasizes reliability and trust: hybrid retrieval with metadata routing, citation/eval scripts, guardrails, and an explainability layer that non-technical stakeholders could understand and override.

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TJ

Tushar Jayendra Mhatre

Screened ReferencesStrong rec.

Intern Data Scientist/ML Engineer specializing in generative AI and ML platforms

Remote4y exp
The Aether LoopUniversity of Oklahoma

AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.

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