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Vetted Cloud Computing Professionals

Pre-screened and vetted.

Cloud ComputingPythonAWSDockerCI/CDSQL
IH

Ilija Hadzic

Screened ReferencesStrong rec.

Principal Robotics & Autonomy Research Engineer specializing in localization and multi-robot navigation

Murray Hill, NJ31y exp
Nokia Bell LabsUniversity of Pennsylvania

“Highly experienced robotics software engineer building ROS/ROS2 systems for fleets of autonomous mobile robots (Clearpath Jackal/Husky and custom platforms), spanning localization, navigation, and multi-robot coordination. Has published work at ICRA (including RL-based local planning and heterogeneous robot coordination via a ROS-to-ZMQ bridge) and maintains open-source ROS modules, with strong simulation, debugging, and CI/CD practices.”

RoboticsReinforcement learningGazeboCloud computingDockerGit+126
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JA

Jack Ahn

Screened

Executive Technology & R&D Leader specializing in Generative AI and Digital Health

Palo Alto, CA23y exp
Vianai SystemsStanford University

“Hands-on engineering leader currently at Vianai (GenAI enterprise applications) building AI-assisted data exploration/insights products with Python and React. Previously Corporate VP of Digital Health at Samsung Electronics, where they helped close key partner deals by demonstrating API-driven openness and led a major Samsung Health modernization from monolith to microservices for horizontal scalability and faster, safer iteration.”

Amazon DynamoDBAmazon EMRAmazon KinesisAmazon RedshiftAmazon RDSAnalytics+158
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JZ

Jacob Zimmerman

Screened

Director-level Engineering Platform leader specializing in cloud infrastructure, SRE, and SaaS compute

New York, NY19y exp
AddeparMIT

“Longtime early-stage startup operator (since 1998) now running a solo consulting practice focused on SaaS infrastructure and platform strategy. Former angel investor in a medical information SaaS company that went public, with a strong focus on making prototype/demo systems enterprise-ready through efficiency, reliability, and performance improvements, and a nuanced view of how AI/LLMs may change engineering team models.”

AnsibleBashCCloud computingCloud-native architectureCross-functional collaboration+94
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HK

Hassaan Khan

Screened

Executive Technology Leader specializing in distributed systems, cloud infrastructure, and AI/ML

San Francisco, CA21y exp
QuartechCarnegie Mellon University

“Engineering leader/player-coach who built and validated a preference-based recommendation engine using clustering, including generating test data to evaluate how clusters evolve over time. Has SRE/DevOps experience and has owned production incidents end-to-end (logging-driven RCA and refactoring patterns that failed at large data scale). Emphasizes quality and platform stability via unit, integration, and load testing, and has managed performance via regular 1:1s and PIPs.”

C++JavaPythonGoRubyC+140
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BO

Brent Oster

Executive CTO specializing in Generative AI, GPU computing, and 3D graphics

Santa Clara, California29y exp
ORBAIUC Santa Barbara
CC#C++Cloud ComputingCUDADeep Learning+59
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MI

Mickey Iqbal

Executive Technology Leader specializing in GenAI, cloud infrastructure transformation, and enterprise modernization

Seattle, WA27y exp
Amazon Web ServicesUniversity of Illinois Chicago
Generative AILarge Language Models (LLMs)Cloud ComputingRegulatory ComplianceDevOpsAutomation+85
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SG

Summer Guo

Screened

Executive Venture Capital Investor specializing in AI, robotics, and energy infrastructure

Palo Alto, CA12y exp
SV Tech VenturesWharton School

“Clean energy founder (Ishan "Summer") who built an energy storage/battery materials venture in 2022 focused on data centers and factories, raising $10M split between venture capital and government funding. Demonstrates end-to-end venture execution: multi-year market observation, team formation, customer/market validation, research collaboration, prototyping, and channel-partner-led go-to-market.”

BudgetingBusiness DevelopmentChatGPTCloud ComputingComplianceData Visualization+78
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JC

Jeffrey Chan

Screened

Director-level Engineering Manager specializing in simulation, graphics, and real-time 3D

San Francisco, CA16y exp
CruiseStanford University

“Hands-on engineering leader with early-stage startup experience who balances coding with executive alignment and delegation. Has delivered offline-capable SaaS mobile demos under tight timelines, built monetization-ready mobile architectures (dynamic cloud assets + in-app purchases), and increased product velocity via component-based game architecture plus stakeholder self-serve tooling.”

A/B TestingApache TomcatCC#C++Caching+94
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IN

Ian North

Staff-level Software Engineer specializing in distributed systems and cloud platforms

Dickinson, TX13y exp
WheelUniversity of Texas at Austin
A/B TestingAPI IntegrationAutomated TestingAWSAWS LambdaBackend Development+99
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AS

Anupam Sahai

Executive CTO/CPO specializing in AI, Cloud Infrastructure, and Cybersecurity

Cupertino, CA14y exp
Chukravu Inc.MIT
Anomaly DetectionBudget ManagementBusiness DevelopmentCloud ComputingGenerative AIKubernetes+56
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DF

Dan Ford

Senior Machine Learning Engineer specializing in on-device AI and large-scale deep learning systems

Indiana, United States13y exp
AppleUniversity of Melbourne
PythonTensorFlowPyTorchKubernetesDockerMLflow+62
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RM

Rathna Malatesha

Director/Principal Engineer specializing in distributed systems, cloud platforms, and GenAI

Austin, TX24y exp
AMDGeorgia Tech
Distributed SystemsCloud ComputingMicroservicesKubernetesGenerative AIMachine Learning+66
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SM

Sreejesh Madonandy

Executive Cybersecurity & Resilience Leader specializing in Payments and FinTech

Seattle, WA15y exp
AmazonBITS Pilani
Risk managementPerformance optimizationCloud computingAWSCloud-native architectureFull-stack development+84
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AW

Andrew Wan

Staff Software Engineer specializing in AI infrastructure and distributed systems

Palo Alto, CA11y exp
GoogleTexas A&M University
A/B TestingAgileAlertingAmazon API GatewayAmazon DynamoDBAmazon EC2+135
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DF

Daniel Farrar

Executive CEO and Board Director specializing in global SaaS, Cloud, and AI growth

San Francisco, CA37y exp
Assembly SoftwareHarvard University
Strategic PlanningBusiness DevelopmentSaaSCloud ComputingTeam LeadershipGo-to-Market Strategy+46
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BS

Bradley Skaggs

Principal Data Scientist specializing in Generative AI and security analytics

Columbia, MD22y exp
AmazonUniversity of Maryland, College Park
Amazon CloudWatchAmazon EC2Amazon EMRAmazon RedshiftAmazon S3AWS+98
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HZ

Hatem Zeine

Screened ReferencesStrong rec.

Executive CTO and Founder specializing in wireless power, RF systems, and cloud platforms

Redmond, WA35y exp
OssiaUniversity of Manchester

“Serial entrepreneur with multiple startups and demonstrated VC fundraising experience, including raising $125K for a current business plan and building investor relationships across several VC firms. Driven by tackling difficult problems and assessing opportunities through a lens of solution creativity and team execution, while prioritizing sustainable quality of life.”

Cloud computingAlgorithmsTest automationRegulatory complianceCross-functional leadershipPrototyping+88
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SS

Saleem Sultan

Screened ReferencesStrong rec.

Director-level Product & Engineering Leader specializing in AI/ML, cloud platforms, and digital transformation

Dallas, TX10y exp
HCSCCornell University

“Senior engineering/technology leader who has defined and delivered a multi-year roadmap to modernize platforms and embed AI, leading global teams through cloud-native and microservices migrations on AWS/Azure. Demonstrated measurable outcomes including 99.99% uptime, 40% fewer incidents, 25% faster delivery, 5x scalability, and $30M in new business opportunities, while scaling a 100+ person distributed org with strong OKR-driven execution and mentorship culture.”

A/B TestingAgileAPI GatewayApache KafkaApache SparkAuthentication+289
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JG

Jian Guo

Screened

Executive Data & AI Leader specializing in enterprise data platforms and analytics

NYC, NY25y exp
Bank of ChinaNYU

“Early-stage founder building a service business targeting small clinics, already with one client. Identified the opportunity by helping a family member and then validating needs through direct client conversations; uses AI (including AI agents) for content generation and plans deeper workflow automation to scale cost-effectively.”

AnalyticsCloud ComputingCost OptimizationData AnalyticsData EngineeringData Governance+120
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BG

Brian Gomez

Screened

Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision

United States12y exp
McKinsey & CompanyCornell University

“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”

A/B TestingAnomaly DetectionApache AirflowApache HadoopApache KafkaApache Spark+149
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MB

Martin Bom

Screened

Director-level Engineering Leader specializing in cloud services and large-scale delivery

Amsterdam, Netherlands31y exp
AmazonAvant University of Applied Sciences

“Engineering leader with a hands-on developer background who has launched and scaled cloud services at AWS (CloudShell) while also leading AWS Cloud9. Built multi-year roadmaps and cross-org stakeholder alignment (product/marketing/mobile), and has a track record of scaling teams (3x growth) by implementing operational excellence, automated quality gates, and security champion programs; advocates serverless architectures to minimize maintenance and accelerate global expansion.”

AngularBudget ManagementCI/CDCloud ComputingComplianceConfluence+71
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JV

Joseph Vito

Screened

Principal Technology Transformation Executive specializing in cloud modernization and data platforms

New York, NY35y exp
AmazonUnion College

“AWS advisory leader and long-tenured (4 decades) execution-focused operator who helps startups and enterprise "startup-like" business units scale operations through customer-centric mechanisms (Working Backwards/PRFAQ) and tech-enabled modernization. Delivered concrete process gains (e.g., ~30% faster mortgage workflow and ~10 manual handoffs eliminated via automation/microservices) and advises VC/startups on data/infra ops, AI-driven differentiation, and go-to-market positioning across multiple industries.”

Cloud ComputingData TransformationGo-to-Market StrategyProgram ManagementStrategic PlanningMachine Learning+128
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DG

David Gao

Senior Software Engineer specializing in cloud architecture and AI/ML

Bellevue, WA15y exp
MicrosoftUSC
AgileAnalyticsAndroidAngularJSAnsibleApache Hadoop+63
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VS

Vishwam Shukla

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

Seattle, WA6y exp
MetaNortheastern University
A/B TestingArgo CDAWSBashBigQueryC+++139
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