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Vetted Terraform Professionals

Pre-screened and vetted.

NR

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps

Dallas, TX6y exp
OpenAIUniversity of Texas at Dallas
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VK

Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable MLOps

Cupertino, CA5y exp
OpenAIUniversity of North Carolina at Charlotte
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SS

Mid-level Full-Stack Software Engineer specializing in FinTech analytics and security

San Francisco, CA6y exp
StripeMontclair State University
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WN

Senior Full-Stack Software Engineer specializing in FinTech payments and risk systems

Atlanta, GA11y exp
StripeGeorgia State University
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AT

Senior Software Engineer specializing in Python, cloud infrastructure, and AI-powered search

Milpitas, CA11y exp
DropboxUC Berkeley
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AB

Mid-level Software Engineer specializing in backend APIs, data pipelines, and cloud microservices

CA, USA6y exp
NVIDIAConcordia University Wisconsin
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AM

Mid-level Software Engineer specializing in full-stack and distributed backend systems

San Francisco, CA5y exp
StripeSaint Louis University
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JH

Senior Full-Stack Software Engineer specializing in web platforms and AI-enabled experiences

Springville, CA8y exp
MetaWest Virginia University
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HV

Senior Data Engineer specializing in cloud-native data platforms and streaming pipelines

7y exp
GoogleUniversity of Cincinnati
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SS

Mid-level Applied AI Engineer specializing in LLMs, MLOps, and real-time AI systems

CA, USA3y exp
Google DeepMindUniversity of North Texas
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WY

Senior Software Engineer specializing in Applied AI and scalable backend systems

6y exp
RampDuke University
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AG

Senior Software Engineer specializing in cloud security and identity management

Chicago, IL8y exp
AmazonUniversity of Illinois Urbana-Champaign
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AD

Senior Full-Stack & AI/ML Engineer specializing in cloud-native SaaS and IoT analytics

Corpus Christi, TX11y exp
MN InfotechNYU
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VV

Executive IT & Cloud Architect specializing in AWS, Salesforce, and AI/ML

25y exp
Connected World TechMIT Sloan School of Management
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BP

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps

Austin, TX5y exp
MetaTexas A&M University-Kingsville
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BT

Senior Cloud Engineer specializing in AWS/Azure infrastructure, DevOps, and cloud-native platforms

Remote10y exp
SnowflakeUniversity of Texas at Austin
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MC

Senior Software Engineer specializing in AI for Healthcare and Enterprise SaaS

Seattle, WA9y exp
Amazon
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SC

Mid-level AI/ML Engineer specializing in Generative AI, LLM alignment, and RAG

CA6y exp
Scale AIUniversity of Texas at Arlington

Built and productionized a real-time enterprise RAG pipeline to improve factual accuracy and reduce LLM hallucinations by grounding responses in constantly changing internal knowledge bases (policies, manuals, FAQs). Experienced in orchestrating end-to-end ML workflows (Airflow/Kubernetes), handling messy multi-format data with schema enforcement (Pydantic/Hydra), and maintaining freshness via streaming incremental embeddings plus batch refresh. Also delivers applied ML solutions with non-technical teams (marketing/CRM) for segmentation and personalized engagement.

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RK

Executive AI/ML Engineering Leader specializing in cloud-native SaaS and GenAI platforms

23y exp
ServiceChannelPenn State University

Engineering leader who modernized and unified a fragmented product suite at Milestone via a multi-year cloud-native roadmap, delivering an MVP in three quarters and boosting team velocity by 40% through cross-functional squads. At Prometheum, led a trust-building hybrid architecture (AWS control plane + customer-hosted data plane) using Kubernetes to ensure sensitive enterprise data never left customer networks while remaining cloud-agnostic across providers.

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SR

Sara Rubacha

Screened

Engineering Manager specializing in databases and distributed systems

Weston, FL21y exp
UKGUniversity of Buenos Aires

Aspiring founder exploring an AI automation startup focused on automating processes involved in building companies. Not yet developed specific use cases or raised capital, but describes a clear plan to validate ideas through use-case research, building a pilot, and testing with early customers; not familiar with the VC/accelerator landscape yet.

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