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Vetted High Availability Professionals

Pre-screened and vetted.

SC

Mid-level .NET Full-Stack Developer specializing in cloud-native microservices

Dallas, TX6y exp
Fidelity InvestmentsTexas Tech University
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BR

Mid-level Software Engineer specializing in backend, cloud, and real-time/robotics systems

4y exp
Wells FargoSoutheast Missouri State University
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NR

Mid-level DevOps Engineer specializing in multi-cloud CI/CD and Kubernetes

NJ, USA4y exp
DatadogSt. Francis College
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CG

Mid-level Cloud Engineer specializing in AWS infrastructure reliability

Limerick, Ireland4y exp
Amazon Web ServicesUniversity of Limerick
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DA

Senior Full-Stack Software Engineer specializing in serverless AWS and scalable SaaS

Redlands, CA8y exp
ErisCaltech
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AS

Mid-level Software Engineer specializing in distributed systems and network automation

San Jose, CA3y exp
CiscoHoward University
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PB

Mid-level Cloud DevOps Engineer specializing in AWS/Azure, Kubernetes, and IaC

Massachusetts, USA5y exp
Capital OneFitchburg State University
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HK

Senior Customer Success Engineer specializing in cloud-native architecture and data streaming

Seattle, WA7y exp
AmazonUniversity at Buffalo
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SS

Senior Multi-Cloud DevOps/SRE Engineer specializing in Azure, AWS and IaC

Venus, Texas14y exp
CBTSObafemi Awolowo University
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HI

Principal Software Engineer specializing in enterprise AI/ML and multi-cloud architecture

17y exp
Mayo ClinicCapitol Technology University
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BP

Executive Security & Enterprise Architecture Leader specializing in cloud, privacy, and M&A

24y exp
Capital OneUniversity of Maryland Global Campus
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VB

Mid-level Software Engineer specializing in backend systems and LLM applications

Chicago, IL4y exp
Easley-Dunn ProductionsUniversity of Illinois Urbana-Champaign
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PN

Mid-Level Software Engineer specializing in cloud-native microservices and AI automation

Irving, TX4y exp
UberOklahoma State University
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AM

Abhishikth Meesala

Screened ReferencesStrong rec.

Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection

Dallas, TX4y exp
PwCCampbellsville University

At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.

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HS

Haider Shah

Screened

Principal AI/ML Architect specializing in GenAI, LLMs, RAG, and Agentic AI

California, USA13y exp
PineconePreston University

FinTech/AI engineer who has shipped an end-to-end discrepancy-detection product for financial managers using Next.js, FastAPI/GraphQL, Pinecone, and AWS (with dev/staging/prod, observability, A/B testing, and documentation). Also built an AI-native “AI Genesis” system with agentic cyclic workflows, routing, and tool use, and has experience modernizing legacy systems via the strangler fig pattern while coordinating with senior stakeholders on a 5G autonomous simulation platform.

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SK

Mid-level Full-Stack Developer specializing in Python, React, and cloud-native AI microservices

San Francisco, CA6y exp
ShopifySaint Louis University
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NK

Mid-level DevOps Engineer specializing in multi-cloud Kubernetes and CI/CD automation

Remote, USA5y exp
IntuitSouthern Arkansas University
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SN

Senior DevOps Engineer specializing in cloud-native CI/CD and Kubernetes

SanJose, CA9y exp
AcerJawaharlal Nehru Technological University
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VD

Senior Software Engineer specializing in backend systems and AI-driven automation

Bengaluru, India6y exp
Morgan StanleyUniversity at Buffalo
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VK

Mid-level Software Engineer specializing in backend systems and LLM-powered AI applications

San Francisco, CA6y exp
Twist BioscienceUniversity of Texas at Arlington
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MG

Senior AIX/Unix Infrastructure Engineer specializing in IBM Power and enterprise migrations

Hilliard, OH15y exp
American GreetingsBangalore University

AIX/Solaris and IBM Power specialist who has led real-time performance recoveries for core banking/ERP workloads—diagnosing CPU/IO contention down to FC queue depth and LPAR sizing, restoring latency from 5s to 200ms. Experienced with POWER7/8/9 operations across HMC/VIOS/NPIV and live DLPAR resizing, plus legacy Solaris SPARC to RHEL x86 hybrid re-platform migrations with post-cutover Oracle performance considerations.

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