Vetted Prompt Engineering Professionals

Pre-screened and vetted.

Gaurav Madhav - Staff Software Engineer specializing in LLMs and ML platforms in Pleasanton, CA

Staff Software Engineer specializing in LLMs and ML platforms

Pleasanton, CA19y exp
Blackhawk NetworkJaypee Institute of Information Technology
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SM

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and scalable GPU inference

Bay Area, CA5y exp
PerplexitySaint Louis University
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FS

Mid-level Data Scientist specializing in ML for healthcare and strategy analytics

New York, NY5y exp
Columbia University Irving Medical CenterUC Berkeley
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PA

Senior Software Engineer specializing in ML-enabled FinTech SaaS

New York City Metropolitan Area, NY8y exp
MercuryUniversity of Pennsylvania
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JW

Senior Software Engineer specializing in AI platforms and FinTech

Astoria, NY12y exp
NotionGeorge Washington University
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ML

Senior Software Engineer specializing in AI agents and cloud platforms

Louisiana, USA7y exp
NotionSanta Clara University
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CL

Director-level Technical Program & Engineering Leader specializing in global platforms, AI automation, and infrastructure

Herndon, VA16y exp
AmazonUniversity of Manchester
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MD

Mid-level Software Engineer specializing in backend, ML platforms, and FinTech

California, USA5y exp
MetaSaint Louis University
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MR

Senior AI Engineer specializing in LLM platforms and RAG systems

Bronx, NY8y exp
PerplexityFordham University
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PM

Director-level Product-Led CTO specializing in AI/MarTech, retail media, and omnichannel platforms

San Francisco, CA25y exp
NikeNorthwestern University
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TC

Mid-level Software Engineer specializing in Python, distributed systems, and AI backend services

San Francisco, CA6y exp
OpenAIWebster University
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RK

Mid-level AI/ML Engineer specializing in FinTech risk and fraud systems

San Francisco, CA4y exp
PlaidSaint Louis University
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SP

Senior AI/ML Engineer specializing in GenAI, agentic systems, and healthcare AI

Bonham, TX12y exp
AnthropicTexas Tech University
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YF

Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI

Irvine, CA5y exp
AmazonUniversity of Chicago
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ZS

Senior Communications & Marketing Strategist specializing in narrative, brand, and AI-driven content

Los Angeles, CA16y exp
Jones DayNorthwestern University
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BW

Senior Machine Learning Engineer specializing in GenAI, NLP, and recommendation systems

Seattle, WA10y exp
eBayUniversity of Illinois Urbana-Champaign
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Sumer Joshi - Senior Full-Stack Engineer specializing in backend systems and AI applications in Remote

Sumer Joshi

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in backend systems and AI applications

Remote13y exp
MercorSanta Clara University

Candidate is deeply focused on AI-native software development, using a deliberate planner/implementer agent workflow with tools like Cursor, Claude, and Kimi. They also built a personal project called Config Proctor, an AI-agent-driven Terraform/AWS self-healing system that identifies infrastructure configuration gaps and proposes fixes.

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BS

Engineering Manager specializing in AI/ML platforms and 0→1 product delivery

Cambridge, MA15y exp
ElsevierHarvard University

Player-coach engineer/lead on a high-scale research integrity platform ("Lighthouse") that flags fraud/manipulation signals across ~3M academic manuscripts per year. Owns architecture decisions (ADRs), implements across Go/Java/React services, and introduced NLP (SciBERT embeddings + human-in-the-loop) to assess out-of-context citations while also handling production incidents with a data-consistency-first approach.

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Rom Manzano - Executive technical founder and full-stack engineer specializing in AI, SaaS, and FinTech in New York, NY

Rom Manzano

Screened

Executive technical founder and full-stack engineer specializing in AI, SaaS, and FinTech

New York, NY15y exp
1848VUC Berkeley

Engineer coming out of a venture studio as it winds down, now seeking another zero-to-one environment with strong studio support and go-to-market playbooks. They show a thoughtful founder mindset centered on rapid shipping, design-partner validation, lean execution, and testing whether users will actually pay for a workflow-specific solution.

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