Vetted Audit Logging Professionals

Pre-screened and vetted.

RB

Senior AI/ML Engineer specializing in scalable cloud ML systems

Seattle, WA14y exp
BCGPortland State University
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BhanuPrasad Pothagani - Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems in Bay Area, CA

Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems

Bay Area, CA5y exp
MetaFlorida Institute of Technology
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AY

Mid-level Data Engineer specializing in cloud data pipelines and lakehouse/warehouse platforms

6y exp
Activision BlizzardUniversity of North Texas
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SB

Senior Full-Stack Engineer specializing in cloud-native .NET microservices

Austin, TX10y exp
SamsungUniversity of New Mexico
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EW

Entry-Level Software Development Engineer specializing in AWS serverless and distributed systems

Sunnyvale, CA1y exp
AmazonUSC
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RP

Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting

KS, United States12y exp
TargetKansas State University
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MN

Senior Software Engineer specializing in AI-native backend platforms for Healthcare and FinTech

Fresno, CA11y exp
OptumWorcester Polytechnic Institute
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LZ

Senior Software Engineer specializing in AI workflow orchestration and distributed systems

Foster City, CA10y exp
Relay.appUniversity of Pittsburgh
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WW

Senior Full-Stack Engineer specializing in scalable platforms across insurance, media, and finance

Wayne, MI15y exp
AflacUniversity of Rhode Island
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JR

Mid-level Product Manager specializing in AI, security, and SaaS

Washington, USA5y exp
AtlassianSaint Louis University
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PR

Mid-level Full-Stack Engineer specializing in AI platforms and FinTech

San Francisco, CA4y exp
StripeSaint Louis University
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HS

Senior Software Engineer specializing in backend platforms and data systems

Bentonville, AR10y exp
WalmartGeorgia Tech
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DZ

Senior Backend Engineer specializing in Healthcare & Cloud Platforms

New York, NY11y exp
DeloitteColumbia University
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XM

Senior Data Engineer specializing in cloud data platforms and large-scale ETL

Pittsburgh, PA10y exp
Logic HomesCarnegie Mellon University
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GR

Senior Full-Stack Engineer specializing in scalable cloud platforms

Wayne, MI14y exp
AflacUniversity of Rhode Island
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CS

Executive CTO specializing in AI systems, FinTech, and high-scale platforms

New York, NY24y exp
Proxify VotingCornell University
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VN

Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines

CA, USA6y exp
StripeSoutheast Missouri State University
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DK

Intern Software Engineer specializing in full-stack, cloud, and AI systems

New York, NY3y exp
TrumidGeorgia Tech
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Timothy Lee - Senior Full-Stack Engineer specializing in AI platforms and scalable web systems in Live Oak, FL

Timothy Lee

Screened

Senior Full-Stack Engineer specializing in AI platforms and scalable web systems

Live Oak, FL12y exp
Parker AIUniversity of Florida

Built and shipped production agentic/LLM systems that could safely perform real customer and subscription operations, not just answer questions. Demonstrates unusually strong depth in agent orchestration, tool safety, evals, tracing, and backend workflow design across Node.js/TypeScript, Go, Redis, Postgres, Kafka, and GPT-4.

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Shahmeer Malik - Junior Software Development Engineer specializing in cloud security and CI/CD in Herndon, VA

Junior Software Development Engineer specializing in cloud security and CI/CD

Herndon, VA2y exp
AmazonUniversity of Michigan

Backend/security-focused engineer supporting a service with 100k+ monthly users. Built an automated load-testing suite that reproduced and mitigated catastrophic host failures from oversized SCP/rsync transfers via host-level throttling, and proposed a future sharding approach for very large transfers. Also created an internal agent to summarize anomalous metrics and provide ready-to-run debug queries, significantly reducing ops review time.

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MM

Mid-level DevOps Engineer specializing in AWS, Azure, Kubernetes, and cloud automation

USA, USA3y exp
MetaUniversity of Cincinnati

Built and owned end-to-end deployment and AI support workflows spanning CI/CD, Kubernetes, Terraform, and LLM/RAG systems. Stands out for combining DevOps delivery with production AI operations, including secure tool-calling, incident debugging, retrieval quality controls, and validation-first document ingestion for messy real-world inputs.

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