Vetted Role-Based Access Control (RBAC) Professionals

Pre-screened and vetted.

HJ

Intern Software Engineer specializing in cloud backend and machine learning

China1y exp
Zhongshan Yinma Real Estate GroupSan José State University
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AD

Junior Full-Stack Developer specializing in AI and web applications

Madison, WI0y exp
Center of Academic ExcellenceUniversity of Wisconsin–Madison
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MR

Mid-level Cloud & DevSecOps Engineer specializing in AWS, Java microservices, and SOC operations

Sterling, Virginia5y exp
U.S. Department of the TreasuryVirginia Commonwealth University
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SN

Mid-level DevOps/SRE specializing in AWS cloud infrastructure and Kubernetes

Houston, Texas6y exp
BitSightUniversity of Texas at San Antonio
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CQ

Intern/Entry Full-Stack Software Engineer specializing in backend APIs and AWS

Plano, TX1y exp
Vivid SeatsUniversity of Texas at Dallas
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VP

Mid-level DevOps Engineer specializing in AWS, Kubernetes, and regulated healthcare platforms

Missouri, USA5y exp
UnitedHealth GroupSaint Louis University
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LZ

Senior Software Engineer specializing in cloud-native security and API platforms

New York, NY9y exp
Profi WebAsia Pacific University of Technology & Innovation
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SS

Mid-level Full-Stack Software Engineer specializing in cloud-native FinTech and insurance systems

Remote, United States5y exp
AIGUniversity at Buffalo
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JP

Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines

5y exp
Fitch Ratings
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Mark Wlodawski - Senior Unity Developer specializing in AI/LLM systems and multiplayer VR in Orlando, FL

Senior Unity Developer specializing in AI/LLM systems and multiplayer VR

Orlando, FL11y exp
AquentUniversity of Memphis

Backend/data engineer focused on AWS-native Python systems: built a FastAPI microservice on ECS/Fargate serving real-time analytics at millions of daily requests with strong reliability (OAuth2/JWT, retries/timeouts, correlation IDs) and autoscaling. Also delivered Glue/PySpark ETL pipelines to curated S3 Parquet/Athena with schema evolution + data quality controls, owned Airflow pipeline incidents, and has a track record of measurable performance and cost optimizations (e.g., ~80%+ query latency reduction; reduced logging/NAT/Fargate spend).

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YP

Mid-level AI/ML Engineer specializing in LLMs, RAG, and production GenAI systems

Remote, United States6y exp
DoubleneGeorge Mason University

Built and deployed a production LLM-powered RAG knowledge system to unify operational/policy information across PDFs, wikis, and databases, emphasizing auditability and low-latency/cost performance. Improved answer relevance at scale by moving from pure vector search to hybrid retrieval with metadata filtering and reranking, and partnered closely with healthcare operations/compliance to define acceptance criteria and human-in-the-loop guardrails.

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JM

Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT

AZ, USA4y exp
CognizantNorthern Arizona University

Candidate has hands-on experience at Cognizant building production-grade automation and integration solutions across Python ML services, Java microservices, Kafka, and Selenium-based UI testing. They stand out for a strong reliability mindset—covering failure modes, observability, flaky test hardening, and translating ambiguous payment-system business processes into resilient end-to-end automated workflows.

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JM

Mid-level Full-Stack Engineer specializing in biomedical data platforms

Rockville, MD3y exp
AxleWilliam & Mary

Backend engineer who has both shipped production systems at work and independently launched tab-review.com, a BI dashboard quality/linting platform. They combine pragmatic early-stage execution with strong instincts around scaling, observability, RBAC, and production reliability, and have also built internal AI-assisted reporting workflows using LangChain and human-in-the-loop review.

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MK

Mid-level AI Engineer specializing in LLM, RAG, and multi-agent systems

Austin, TX5y exp
Mira Labs AISt. Cloud State University
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CN

Senior Platform/DevSecOps Engineer specializing in Kubernetes and secure cloud platforms

Hawaii, HI9y exp
Agile DefenseUniversity of Maryland Global Campus
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SA

Mid-Level Software Engineer specializing in full-stack development and cloud platforms

Indianapolis, IN5y exp
The University of ArizonaIndiana University Bloomington
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RD

Senior Full-Stack Software Engineer specializing in React and scalable web applications

Portland, OR8y exp
WestRockDePaul University
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MA

Mid-level Software Engineer specializing in FinTech and scalable backend systems

Chicago, Illinois4y exp
Northern TrustDePaul University
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MJ

Mid-level Backend Engineer specializing in distributed data systems

Pune, India4y exp
TCSSan Jose State University
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CE

Mid-Level Full-Stack Software Engineer specializing in Cloud, DevOps, and Platform Engineering

3y exp
GEICOUniversity of Houston-Victoria

Backend/Node.js-focused engineer who improved a widely used shared config/logging utility library by fixing a real-world async race condition (single disk read under concurrency) and adding stronger validation/testing, resulting in more deterministic services and faster startup/build/CI times. Also builds internal platform automation spanning Python/Go/TypeScript with strong documentation practices and security-conscious customer onboarding (e.g., sensitive Kubernetes clusters, HashiCorp Vault access issues).

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MK

Malli Karjuna

Screened

Mid-Level .NET Full-Stack Developer specializing in cloud-native web applications

Dallas, TX5y exp
Cetera Financial GroupIndiana Wesleyan University

JavaScript engineer with open-source library contribution experience, including diagnosing a validation-related bug, shipping a tested fix, and improving documentation with practical examples and edge-case guidance to reduce repeated community questions. Emphasizes profiling-driven performance work, small safe refactors, and proactive ownership in fast-moving, unstructured teams.

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Chandini Sattineni - Mid-level Software Engineer specializing in full-stack web, Go microservices, and AI integrations in Remote, USA

Mid-level Software Engineer specializing in full-stack web, Go microservices, and AI integrations

Remote, USA5y exp
Infinite Computer SolutionsSacred Heart University

Backend/LLM engineer who ships production internal tooling end-to-end: automated data-request processing with monitoring-driven improvements (better error diagnostics and lower latency via query/index tuning). Also built a RAG-based internal Q&A system over company docs and operational logs with guardrails (similarity thresholds, fallbacks, response limits) and an eval loop using real user queries and human review to drive prompt/retrieval changes.

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