Vetted Data Modeling Professionals

Pre-screened and vetted.

AS

Junior Software Engineer specializing in ServiceNow, data engineering, and AWS

Chicago, IL2y exp
ServiceNowUniversity of Illinois Urbana-Champaign
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KG

Junior Software Development Engineer specializing in ML, NLP, and data visualization

Irvine, CA2y exp
UCIPTUniversity of Chicago
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GN

Mid-level Data Engineer specializing in cloud-native ETL and data warehousing

Remote, USA4y exp
PayPalLamar University
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ES

Senior Machine Learning Engineer specializing in Generative AI and NLP

New York, NY10y exp
HumaUSC
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GE

Junior Software QA Engineer specializing in AI-driven test automation

Littleton, CO1y exp
Emporia EnergyUC San Diego
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SR

Senior AI/ML Engineer specializing in Generative AI and Computer Vision

Los Angeles, California9y exp
PoplTsinghua University
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PP

Senior Data Engineer specializing in Cloud Data Platforms and Generative AI

Brooklyn, NY11y exp
JPMorgan ChaseOsmania University
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KA

Mid-level Software Developer specializing in full-stack and backend systems

Dallas, TX5y exp
Goldman SachsUniversity of Texas at Dallas
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GS

Principal Software Engineer specializing in distributed systems and cloud-native backend platforms

McLean, VA11y exp
Capital OneVirginia Tech
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FY

Senior HR Business Partner specializing in performance, org effectiveness, and global talent programs

New York, NY12y exp
Alpha FMCBrooklyn College (CUNY)
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JB

Mid-Level Backend Software Engineer specializing in distributed systems and observability

Mountain View, CA2y exp
YahooUC Irvine
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JB

Principal Data Scientist specializing in AI/ML forecasting and MLOps

Fort Collins, CO14y exp
HasbroGalvanize
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JS

Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products

Winchester, TN9y exp
SambaNovaSewanee: The University of the South
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KP

Mid-level Data Engineer specializing in GCP, Spark, and healthcare analytics

New York, NY3y exp
CVS HealthColumbia University
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AA

Senior AI/ML Engineer specializing in LLMs and enterprise conversational AI

Northbrook, IL16y exp
CVS HealthUniversity of Illinois Chicago
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VP

Mid-level Software Developer specializing in backend, cloud-native systems, and AI automation

Richardson, TX3y exp
Goldman SachsUniversity of Texas at Arlington
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MP

Senior Software Engineer specializing in backend data platforms for FinTech

Irving, TX9y exp
Cottonwood FinancialUniversity of Texas at Austin
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AH

Senior Full-Stack Engineer specializing in backend, cloud, and AI systems

New York, NY8y exp
Istream Solution
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AR

Adithya Rajendra

Screened ReferencesStrong rec.

Junior Data Engineer specializing in Azure data platforms and GenAI analytics

Bengaluru, India1y exp
ZEISSUC Irvine

Data/ML practitioner with experience spanning medical imaging (retinal vessel analysis for hypertension/CVD risk prediction) and enterprise data engineering at Carl Zeiss. Built large-scale SAP data cleaning/validation pipelines (10M+ daily records, ~99% accuracy) and RAG-based semantic search with LangChain/vector DBs that cut manual querying by 82%, plus automation that reduced data onboarding from 8 hours to 12 minutes.

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Luka Baljak - Senior Software Engineer specializing in full-stack web and AI-powered SaaS in Baljak Luka, Serbia

Luka Baljak

Screened ReferencesStrong rec.

Senior Software Engineer specializing in full-stack web and AI-powered SaaS

Baljak Luka, Serbia7y exp
FivetranUniversity of Belgrade

Frontend-leaning product engineer who took broad ownership of a recently launched AI-powered customer support chat designed to deflect support tickets. They designed the overall system, built the full frontend, contributed to backend work, and served as a key source of product and technical continuity for a globally distributed team.

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JS

Johnnie Sanders

Screened ReferencesModerate rec.

Executive AI Architect specializing in enterprise cloud and FinTech solutions

Lewisville, TX15y exp
11-11 Solutions Ent.Purdue University

Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.

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