Vetted Tableau Professionals

Pre-screened and vetted.

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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CL

Intern Machine Learning Engineer specializing in LLMs, RAG, and model quantization

San Francisco, California1y exp
DoorDashUCLA
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IJ

Director-level HR Business Partner specializing in global talent, org design, and transformation

Holmdel, NJ27y exp
EricssonSt. Peter's University
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BC

Principal Data Scientist specializing in ML, NLP, and forecasting for marketing and supply chain

Arlington Hts, IL14y exp
GoogleDePaul University
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MG

Principal Machine Learning Scientist specializing in GenAI, LLMs, and RAG

Austin, TX13y exp
Season HealthGeorgia Tech
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YE

Senior Python Developer specializing in AI/ML and cloud-native microservices

CA, USA6y exp
GoogleUniversity of Central Missouri
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KT

Executive Corporate Real Estate & Workplace Leader in Financial Services

New York, NY14y exp
Global AtlanticNYU
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SP

Staff Data Scientist / AI-ML Engineer specializing in fraud detection, NLP, and recommendations

Sunnyvale, CA11y exp
WalmartIIEST Shibpur
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YW

Senior Full-Stack Engineer specializing in cloud platforms, AI/ML, and blockchain

12y exp
AppleBaruch College
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AT

Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms

Mesquite, TX12y exp
Rocket LawyerUniversity of Texas at Austin
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DF

Senior Talent Acquisition Leader specializing in technical recruiting and recruiting operations

19y exp
MetaSan Francisco State 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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MK

Mid-level Machine Learning Engineer specializing in generative AI, NLP, and MLOps

4y exp
NVIDIAFlorida State University
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NS

Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference

New York city, NY4y exp
PerplexityCleveland State 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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AD

Director of Platform specializing in go-to-market and portfolio value creation

Menlo Park, CA8y exp
The Chernin GroupDuke University
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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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Neeraj Sadarjoshi - Director of BizOps & Strategy specializing in e-commerce delivery and operations scaling in San Bruno, CA

Director of BizOps & Strategy specializing in e-commerce delivery and operations scaling

San Bruno, CA13y exp
WalmartCornell University

Ops/strategy leader with 10+ years in analytics, operations, and strategy (MBA) who has launched and scaled on-demand/express delivery capabilities in large retail ecosystems. Led complex, cross-functional initiatives including a 30-minute white-label delivery pilot for an automotive parts client and express delivery expansion for Sam’s Club across 800+ locations, with strong emphasis on driver supply, incentives, and on-time performance.

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Nishitha Thummala - Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable inference in San Francisco, CA

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

San Francisco, CA6y exp
PerplexityUniversity of Nebraska Omaha

Backend/retrieval-focused engineer with production experience at Perplexity building a large-scale real-time Q&A system using retrieval-augmented generation, emphasizing low-latency, high-quality answers through ranking, context optimization, and caching. Also has orchestration experience from both product-facing LLM pipelines and large-scale infrastructure workflows at Meta, and has partnered with non-technical stakeholders to align AI trade-offs with business goals.

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Krishna Reddy - Mid-level AI/ML Engineer specializing in fraud detection and clinical LLM assistants in New York, NY

Krishna Reddy

Screened

Mid-level AI/ML Engineer specializing in fraud detection and clinical LLM assistants

New York, NY6y exp
StripeIndiana Wesleyan University

Built and deployed a production clinical support LLM assistant at Mayo Clinic using a LangChain-orchestrated RAG architecture (Llama 2/PaLM) over de-identified clinical records, integrating BigQuery with Pinecone for semantic retrieval. Focused on healthcare-critical reliability by reducing hallucinations through grounding, implementing HIPAA-aligned privacy controls (Cloud DLP, VPC Service Controls), and running structured evaluations with clinician feedback.

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MR

Maria Ramirez

Screened

Senior Talent Acquisition Leader specializing in technical recruiting, DEI, and hiring operations

New York, NY13y exp
AmazonNYU

Recruiting leader with AWS LATAM experience managing teams of ~10 (up to 14) and personally owning executive searches for country leaders across Mexico, Chile, Peru, and Colombia. Led compensation benchmarking and package recalibration for new-country office launches (e.g., Argentina) and drove a major recruiting operating-model change to a centralized pod/virtual hiring approach to support rapid headcount growth.

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FS

Fahad Shahid

Screened

Director of Talent Acquisition & People Strategy specializing in workforce planning and inclusion

Princeton, NJ18y exp
American Family InsuranceSUNY Empire State University

Talent Acquisition/People Strategy leader who has managed a large recruiting organization (25 recruiters + 3 TA Managers) while staying hands-on with executive search. Known for enterprise-wide recruiting lifecycle standardization and for building workforce planning and DEI glidepath reporting that informs executive leadership decisions through data, dashboards, and forward-looking scenarios.

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