Vetted Containerization Professionals

Pre-screened and vetted.

CL

Intern Software Engineer specializing in backend, distributed systems, and DevOps

1y exp
TSMCCarnegie Mellon University
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MC

Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps

CA6y exp
PerplexityWebster University
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Ping-Hsuan Wu - Junior Software Development Engineer specializing in AWS cloud and distributed systems in Seattle, US

Junior Software Development Engineer specializing in AWS cloud and distributed systems

Seattle, US2y exp
AmazonCarnegie Mellon University
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PradeepReddy Sangyam - Mid-level Full-Stack Developer specializing in Java/Spring Boot microservices and React on AWS in USA

Mid-level Full-Stack Developer specializing in Java/Spring Boot microservices and React on AWS

USA5y exp
ShopifySaint Louis University
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CB

Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps

San Francisco, CA6y exp
NVIDIAConcordia University Wisconsin
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MR

Senior Machine Learning Engineer specializing in ML systems and efficient AI infrastructure

Singapore, Singapore7y exp
ETH ZurichNational University of Singapore
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JL

Mid-level Software Engineer specializing in full-stack cloud and data applications

Bellevue, WA7y exp
SnowflakeGeorgia Tech
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DR

Junior AI Engineer specializing in LLM systems and network automation

Florida, USA1y exp
SrinSoftGeorgia Tech
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RD

Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation

New York, NY11y exp
C8 HealthGeorgia Tech
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MW

Senior Agentic AI & Backend Engineer specializing in LLM platforms and multi-agent systems

10y exp
MoveworksRutgers University
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RZ

Senior DevSecOps Engineer specializing in secure cloud-native CI/CD platforms

Leander, Texas11y exp
NVIDIAUniversity of Texas at Austin
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MT

Senior Full-Stack Engineer specializing in payments and commerce platforms

New York City, NY10y exp
StripeUniversity of Texas at Dallas
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MG

Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems

Santa Ana, CA8y exp
PinterestUC Berkeley
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PK

Mid-level Machine Learning Engineer specializing in LLMs, ranking, and scalable ML systems

TX, USA3y exp
MetaUniversity of Texas at Arlington
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JT

Junior Software Engineer specializing in full-stack web and data platforms

Claremont, CA2y exp
MicrosoftHarvey Mudd College
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BH

Senior Full-Stack Engineer specializing in scalable cloud platforms and AI integrations

Los Angeles, CA13y exp
West MonroeUniversity of Texas at Austin
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RY

Mid-level Full-Stack Python Developer specializing in cloud-native platforms and payments

California, USA6y exp
AmazonConcordia University Wisconsin
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AT

Staff Machine Learning Engineer specializing in LLMs and cloud-native AI platforms

Delray Beach, FL13y exp
Fleet AIStony Brook University
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MT

Senior Software Engineer specializing in cloud platforms, data pipelines, and ML

Seattle, WA6y exp
MicrosoftMcMaster University
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PK

Mid AI/ML Engineer specializing in LLMs, RAG, and multimodal systems

San Francisco, CA5y exp
AnthropicUniversity of Central Missouri
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MS

Mujahid Shaik

Screened ReferencesStrong rec.

Mid-level Full-Stack Software Engineer specializing in scalable FinTech and analytics platforms

Ohio, USA5y exp
xAIKennesaw State University

Senior full-stack engineer with 5 years of experience across Bank of America, AT&T, and NextAI/XAI, building cloud-native, high-availability products spanning React, Node, Java, Kotlin, Python, and AWS. Particularly compelling for teams needing someone who can own architecture, implementation, DevOps, and UX polish end-to-end—from a real-time loan eligibility platform handling 50,000+ daily requests to live event dashboards that improved operations and helped drive $250K in ARR.

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Brian Sanders - Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines in Chicago, IL

Brian Sanders

Screened

Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines

Chicago, IL12y exp
SnapsheetTexas Tech University

Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.

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