Vetted Software Engineering Professionals

Pre-screened and vetted.

Robert Parrott - Executive technology architect specializing in cloud platforms, SRE, and enterprise SaaS in Boston, MA

Executive technology architect specializing in cloud platforms, SRE, and enterprise SaaS

Boston, MA18y exp
NexthinkHarvard University
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Aaron Harnage - Senior AI Engineer specializing in LLMs, generative AI, and ML systems in Port St. Lucie, FL

Senior AI Engineer specializing in LLMs, generative AI, and ML systems

Port St. Lucie, FL10y exp
ZooxStanford University
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ZM

Executive AI Founder & CEO specializing in LLM agents, data engineering, and regulated healthcare markets

New York, NY12y exp
Pure GlobalCarnegie Mellon University
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PY

Staff Software Engineer specializing in AI platforms, RAG systems, and large-scale products

Menlo Park, CA15y exp
GoogleUC Berkeley
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JA

Executive Technology Leader specializing in cloud, datacenter operations, and AI strategy

Kirkland, WA11y exp
Atos
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SJ

Shawn Johnson

Screened

Senior Full-Stack Software Engineer specializing in security and authentication

London, United Kingdom9y exp
ByteDanceUniversity of Notre Dame

Security-oriented software engineer with experience building high-impact internal and platform features at TikTok and Reddit, including session hijacking prevention, an internal password manager, and a reusable Android passkey SDK. Stands out for combining backend/API ownership, user-driven product improvements, and deep attention to security, performance, and cross-platform compatibility.

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Amit Khanna - Director-level Software Engineering Leader specializing in AI, Data Platforms, and Ads/FinTech in Menlo Park, California

Director-level Software Engineering Leader specializing in AI, Data Platforms, and Ads/FinTech

Menlo Park, California22y exp
MetaDr. A.P.J. Abdul Kalam Technical University
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MV

Senior Engineering Manager specializing in cloud platforms, security & compliance

Orlando, FL19y exp
GoogleUniversity of Florida
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DN

Senior Software Engineer specializing in full-stack cloud and FinTech platforms

California, USA20y exp
UC Irvine Donald Bren School of Information and Computer SciencesUC Irvine
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RA

Senior Software Engineer specializing in backend systems, cloud platforms, and FinTech

Remote, USA16y exp
IntuitStanford University
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DF

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

Indiana, United States13y exp
AppleUniversity of Melbourne
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BM

Senior Software Engineer specializing in AI-enabled full-stack and backend systems

Mountain View, CA8y exp
GoogleLehigh University
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SZ

Senior Software Engineer specializing in AI/ML infrastructure and GenAI

California, USA8y exp
VisaIowa State University
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JX

Jeffrey Xuzhang

Screened ReferencesStrong rec.

Junior Software Engineer specializing in full-stack and cloud systems

Vancouver, Canada2y exp
Amazon Web ServicesUniversity of Waterloo

Worked on an AWS DynamoDB Journal team project building internal operator dashboards end-to-end, creating Java/Spring Boot APIs and integrating them into a Spring Boot/Thymeleaf/JavaScript UI to speed up debugging workflows. Has experience with data-heavy web apps and performance techniques (load balancing, caching, pagination, compression) plus hands-on debugging across unit/integration/E2E tests; also maintained and enhanced a React website at Global Spark.

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RG

Executive technology leader specializing in SaaS, AI/ML, and cloud platforms

Orange County, CA37y exp
BluumlyBoston University
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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.

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Arijit Das - Executive engineering leader specializing in AI, cloud, and FinTech transformation in Dallas, TX

Arijit Das

Screened

Executive engineering leader specializing in AI, cloud, and FinTech transformation

Dallas, TX20y exp
UpstartBITS Pilani

Fintech operator at Upstart with hands-on experience in lending underwriting and verification automations, now developing a fully automated HELOC product aimed at reducing funding timelines from 30-45 days to 5 days. Brings strong market conviction in the HELOC space and has already spoken with fintech investors interested in a white-label solution for banks and credit unions.

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BP

Executive technology leader specializing in enterprise products, cloud, data, and GenAI

Austin, TX29y exp
Divyam.aiIndian Institute of Science
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PP

Senior Product Leader specializing in AI, trust & safety, and e-commerce platforms

Bellevue, WA18y exp
TikTokUniversity of Washington
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MT

Executive engineering and product leader specializing in hardware, IoT, and automotive innovation

Boston, MA11y exp
YazakiMIT
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CH

Chengzhu He

Screened

Staff/Principal Cloud Infrastructure Engineer specializing in Kubernetes and OpenStack

14y exp
TikTokShanghai University

Platform/backend engineer focused on Kubernetes at scale: built a Java control-plane service for multi-region cluster provisioning/monitoring/upgrades using Kafka-driven async workers, and solved peak-load provisioning failures by eliminating blocking I/O and dynamically scaling consumers. Also shipped an LLM-assisted Kubernetes troubleshooting/remediation feature that pulls Prometheus logs/metrics into prompts and uses guardrails (confidence thresholds + human-in-the-loop) to prevent risky actions.

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RR

Director-level Product Strategy leader specializing in enterprise transformation and AI-driven platforms

New York, NY22y exp
AmazonUniversity at Buffalo

Senior product leader with experience at Amazon, FINRA, and Goldman Sachs, spanning large-scale data platforms, AI/ML, consumer UX, and regulated enterprise systems. Particularly compelling for roles requiring both technical depth and organizational influence: they’ve shipped products at massive scale, improved fraud models to 95%+ accuracy, and delivered measurable business outcomes while keeping human experience central to AI-driven decisions.

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