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Vetted AI & Machine Learning Professionals in the Bay Area

Pre-screened and vetted in the Bay Area.

JP

Entry AI Application Engineer specializing in GPU infrastructure benchmarking

Milpitas, CA1y exp
AivresUCLA
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NS

Mid-level NLP Engineer specializing in LLMs, RAG, and applied computational linguistics

San Francisco Bay Area, CA4y exp
StealthUniversity of Washington
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CE

Senior Data Scientist / AI & ML Engineer specializing in agentic AI and generative AI

Freemont, CA11y exp
EnphaseRowan University
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SJ

Mid-level Full-Stack Software Engineer specializing in ML platforms and observability

San Francisco, CA5y exp
C3 AIUC Davis
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AS

Mid-level Machine Learning Engineer specializing in LLM training and FinTech ML systems

Sunnyvale, CA5y exp
Cerebras SystemsArizona State University
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HS

Staff AI/MLOps Engineer specializing in cloud-native LLM and document intelligence platforms

San Jose, CA11y exp
Automation AnywhereTexas A&M University
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SK

Mid-level AI/ML Engineer specializing in MLOps, real-time data platforms, and generative AI

Santa Clara, CA5y exp
Applied MaterialsUniversity of Central Oklahoma
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BR

Mid-level AI/ML Engineer specializing in NLP, RAG, and cloud MLOps

Santa Clara, CA6y exp
CVS HealthAuburn University at Montgomery
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HS

Staff AI/MLOps Engineer specializing in cloud-native LLM and document intelligence platforms

San Jose, CA11y exp
Automation AnywhereTexas A&M University
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ST

Senior AI/ML Engineer specializing in Generative AI and MLOps

Newark, CA11y exp
Lucid MotorsDeen Dayal Upadhyay Gorakhpur University
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GP

Senior AI Sales & Client Success Leader specializing in Generative AI and Gaming

San Francisco, CA9y exp
Modal LearningVanderbilt University
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GB

Mid-level Machine Learning Engineer specializing in GenAI and end-to-end ML systems

Sunnyvale, California7y exp
Coca-ColaUniversity of Texas at Dallas
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LR

Intern Machine Learning Engineer specializing in LLM agents and full-stack systems

San Francisco, California1y exp
Jobsforce.aiRutgers University–New Brunswick
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GR

Senior GenAI/ML Engineer specializing in LLMs, RAG, and MLOps

Mountainview, CA11y exp
IntuitSaint Louis University
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KJ

Senior Software Engineer specializing in backend systems and LLM-powered products

San Jose, CA7y exp
FreelanceUniversity at Buffalo
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SM

Senior Machine Learning Engineer specializing in Generative AI RAG systems

San Francisco, CA8y exp
Florida State UniversityFlorida State University
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MP

Mid-level Generative AI Engineer specializing in LLM orchestration, RAG, and agentic workflows

San Francisco, CA3y exp
Tenet HealthcareUniversity of South Florida
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TV

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

San Francisco, CA5y exp
CiscoKennesaw State University
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RG

Rithindatta Gundu

Screened ReferencesStrong rec.

Mid-level AI/ML Engineer specializing in LLM systems and cloud MLOps

San Francisco, CA4y exp
Wells FargoSeattle University

Built a production LLM-powered fraud detection platform at Wells Fargo, combining OpenAI/Hugging Face models with RAG-based explanations to make flagged transactions interpretable for risk and compliance teams. Delivered low-latency, real-time inference at high scale on AWS (SageMaker + EKS), with strong observability and security controls, reducing manual reviews and false positives in a regulated environment.

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AD

Akshay Danthi

Screened

Senior AI Engineer specializing in production GenAI systems

San Francisco, CA8y exp
MajorlyGolden Gate University

AI engineer who has shipped production LLM systems end-to-end, including a natural-language-to-SQL analytics copilot for career advisors that achieved ~95% query success through schema grounding, access controls, and automated regression testing with golden queries. Also builds LangGraph-orchestrated multi-step agents (resume analysis, recommendations) and RAG pipelines (PDF ingestion + FAISS) and partners closely with non-technical users to drive adoption and trust.

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AK

Mid-level Data & AI Engineer specializing in data engineering, analytics, and LLM/RAG apps

San Francisco Bay Area, CA5y exp
VerizonCalifornia State University

Built a production RAG-based “unified assistant” that consolidates siloed company documents into a single chatbot while enforcing fine-grained access control via RBAC/metadata filtering with OAuth2/JWT. Experienced orchestrating LLM workflows with LangChain/LangGraph + FastAPI (async + caching) and measuring performance via retrieval accuracy and response-time SLAs. Also delivered a churn analytics solution with dashboards and automated retention campaigns using n8n.

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