Vetted Microsoft Azure Professionals

Pre-screened and vetted.

SS

Mid-level Python Backend Developer specializing in cloud-native microservices and AI/ML platforms

California, USA6y exp
NVIDIASanta Clara University
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DZ

Senior Full-Stack .NET Engineer specializing in cloud-native web applications

Texas, United States12y exp
AmazonUC Santa Cruz
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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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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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QH

Senior AI/ML & Data Scientist specializing in NLP, knowledge graphs, and semantic search

Mountain View, CA10y exp
IntuitUniversity of Illinois Chicago
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AC

Executive FinTech Founder and Software/Finance Leader specializing in data pipelines and valuation

Chicago, IL34y exp
QBmetricsStanford University
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CR

Executive Technology & Resilience Leader specializing in AI, multi-cloud, SRE, and cyber resilience

Atlanta, GA21y exp
CrowdStrikeGeorgia State University
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YD

Senior Software Engineer specializing in Unity, multiplayer networking, and AI/LLM integration

San Francisco, CA7y exp
UberStanford University
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KS

Senior Software Engineer specializing in Unity/C#, AI/LLM, and cross-platform mobile/VR

Remote12y exp
VotingWorksUniversity of Pennsylvania
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YY

Executive CTO and serial founder specializing in AI platforms and Financial Services

Phoenix, AZ
AgentArumUniversity of Tennessee, Knoxville
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WG

Senior Software Engineer specializing in frontend architecture and AI-enhanced developer tools

Raleigh, NC7y exp
GitHubNorth Carolina State 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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DA

Mid-level Machine Learning Engineer specializing in Generative AI and LLM applications

USA6y exp
OpenAINJIT
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NH

Principal Software Engineering Manager specializing in cloud platforms and security

Palo Alto, CA20y exp
MicrosoftUniversity of Louisiana at Lafayette
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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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BL

Senior Full-Stack Engineer specializing in AI and LLM applications

Denton, TX10y exp
CognizantPrinceton University
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MC

Senior Software Engineer specializing in AI for Healthcare and Enterprise SaaS

Seattle, WA9y exp
Amazon
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Jared Alessandroni - Executive CTO specializing in AI, cloud platforms, and scaling SaaS products

Jared Alessandroni

Screened ReferencesStrong rec.

Executive CTO specializing in AI, cloud platforms, and scaling SaaS products

21y exp
Audience GenomicsDartmouth College

NYC-based startup founder/CTO who sold products to Omnicom and Sprinklr, then built an AI-powered cultural insights engine inside Omnicom using AWS Lambda + ML to process ~1M items/day and reached ~$1MM ARR in year one. Former senior leader at Sprinklr managing 200+ people globally, delivering enterprise martech solutions with SLAs and high-reliability social data pipelines (Twitter firehose).

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SS

Stephon Sands

Screened ReferencesStrong rec.

Senior Enterprise Customer Success Leader specializing in Azure cloud adoption and renewals

San Jose, CA10y exp
Microsoft

Enterprise cloud/SaaS customer success leader who owned a strategic $102M Azure commitment end-to-end, rescuing a Kubernetes migration by formalizing Sev A/B triage/escalation ownership and executive governance. Drove measurable outcomes including restored executive confidence and consumption growth from $1M to $2M/month (~30% adoption growth) by tying stabilization milestones to migration velocity, forecasting, and expansion strategy.

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AS

Junior Data Scientist specializing in LLM agents, RAG, and reinforcement learning

Pittsburgh, PA1y exp
McKinsey & CompanyCarnegie Mellon University

McKinsey practitioner who built and deployed production LLM systems for consultants/clients, including a Power BI-integrated multi-agent chatbot (RAG + text-to-SQL + formatting) with custom Python orchestration, verification loops, and a 100+ case eval set achieving ~95% consistency. Also delivered a taxonomy-mapper agent that standardized inconsistent labeling for C-suite stakeholders, cutting a process from >2 weeks to <30 minutes through demos and business-focused communication.

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