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Vetted AWS Professionals

Pre-screened and vetted.

LM

Mid-level Data Scientist / Machine Learning Engineer specializing in NLP and computer vision

Austin, TX6y exp
ArtisightUniversity of Northern Colorado
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RN

Senior Software Engineer specializing in cloud-native Java microservices

Chicago, IL5y exp
EpsilonFlorida Atlantic University
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SP

Mid-level Backend Software Engineer specializing in Python microservices and cloud-native APIs

Bentonville, Arkansas6y exp
WalmartSacred Heart University
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JM

Mid-level Machine Learning Engineer specializing in Generative AI and MLOps

USA4y exp
Piper SandlerNortheastern University
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SB

Intern Full-Stack Software Engineer specializing in AI-powered web applications

Nevada, USA2y exp
Word of Mouth Technologies, Inc.Syracuse University
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KL

Mid-level .NET Developer specializing in cloud-native web applications on Azure

Atlanta, GA6y exp
CVS HealthSaint Louis University
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SG

Senior Full-Stack JavaScript Developer specializing in React and Node.js

San Jose, CA8y exp
TCSMaharishi International University
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AS

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

USA4y exp
Northern TrustSyracuse University
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SB

Mid-level Data Scientist / AI/ML Engineer specializing in Generative AI and healthcare analytics

Maryland Heights, MO4y exp
KrogerSaint Louis University
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DR

Mid-level Machine Learning Engineer specializing in MLOps and applied data science

Dallas, TX4y exp
Southern Glazer's Wine & SpiritsSan José State University
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BK

Executive IT Leader / Deputy CIO specializing in enterprise architecture, cybersecurity, and cloud transformation

Leesburg, VA30y exp
Metropolitan Washington Airports AuthorityWestern Michigan University
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SJ

Mid-level Full-Stack Software Engineer specializing in GenAI and SaaS platforms

Harrison, NJ5y exp
MetLifeStevens Institute of Technology
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SP

Mid-level AI Engineer specializing in NLP, computer vision, and MLOps

Birmingham, AL4y exp
FTI ConsultingUniversity of Alabama at Birmingham
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SD

Staff Customer Success/Technical Account Manager specializing in Enterprise Cloud & FinOps

Fremont, California17y exp
Arrow ElectronicsSan José State University
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AM

Executive Technology Leader (CTO/CPO) specializing in digital transformation, ERP, AI/ML, and M&A

Brea, CA19y exp
Allure Bridals
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ND

Nimsy Duddu

Screened ReferencesModerate rec.

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

Hartford, CT4y exp
The HartfordTrine University

Backend engineer with insurance/claims domain experience who modernized legacy claims processing systems to support AI-assisted claim review. Emphasizes production-ready API design in Python/FastAPI (schemas, async, caching, graceful degradation), strong observability with Prometheus, and layered security including JWT auth plus database row-level security (Supabase/Postgres).

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BS

Senior Backend Software Engineer specializing in automation microservices

San Ramon, California6y exp
IntelygenzUC Santa Cruz

Backend Python engineer who built core services for a telecom automation engine monitoring thousands of routers in real time and auto-generating support tickets. As the sole Intelygenz engineer on the project, they diagnosed a costly Terraform/GitLab CI/CD resource-leak issue in AWS and implemented a cleanup redesign that eliminated orphaned resources and reduced client cloud spend. Also shipped applied-AI ticket triage suggestions via API integration and built an end-to-end Gmail-to-ticket ingestion workflow.

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AK

Senior IBM Power/AIX Consultant specializing in AIX, VIOS, PowerHA and hybrid cloud migrations

Nashville, TN21y exp
Glasshouse SystemsInternational Technological University

Senior consultant in professional/managed services specializing in AIX on IBM Power Systems (Power9/10/11), handling multi-client work spanning LPAR builds, hardware refreshes (e.g., P8 to P10), storage/SAN migrations, and cloud migrations. Demonstrates strong operational depth across VIOS/HMC/vHMC, NIM + SUMA patching workflows, and PowerHA clustering, with a track record of scripting/automation (Jenkins + shell) to proactively monitor and streamline migrations.

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DC

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

USA4y exp
Inspira FinancialUniversity of Texas at Arlington

Full-stack + ML engineer who built “Finsight,” a real-time financial risk platform (React/FastAPI/MongoDB/AWS Lambda) processing 2M+ records monthly, using sharding and Redis caching (60% DB load reduction) plus async and batch optimizations. Also has healthcare product experience at Apollo Healthcare, partnering directly with clinicians/admins to design and iterate EHR dashboards via Figma prototyping and user testing, and demonstrates clear system design thinking for real-time voice-to-LLM architectures.

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KM

Kevin Mathews

Screened

Mid-Level Full-Stack Software Engineer specializing in Next.js, React, and cloud platforms

Pleasanton, CA5y exp
VagaroApp Academy

Full-stack engineer from Vagaro who owned an end-to-end rebuild of a sluggish WordPress sales site into a Next.js 15 app hosted on Azure, adding Hygraph headless CMS, SSR, i18n, and a reusable component library. Instrumented Amplitude + A/B testing/heatmaps and reports a 10% sales lift post-launch; also has AWS ops experience (S3/IAM/CloudWatch) and has built ingestion pipelines including LLM-powered unstructured data processing with dead-letter handling.

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KS

Krusha Shah

Screened

Mid-level Infrastructure/DevOps Engineer specializing in GCP, Terraform, Kubernetes and CI/CD

4y exp
TCSUniversity of Texas at Arlington

DevOps/GCP-focused engineer with experience helping move complex/LLM-style prototypes toward production by clarifying requirements, hardening architecture, and driving OS-level test remediation to full pass rates. Debugs LLM/agentic workflow issues like distributed systems using GCP observability (Cloud Logging/Monitoring, GKE metrics) and implements alerting policies for proactive communication. Has delivered internal DevOps training from basics through end-to-end GCP infrastructure and deployment, improving engagement with real-world examples and analogies.

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MP

Mrunal Patil

Screened

Mid-Level Software Engineer specializing in FinTech microservices

Remote, USA3y exp
StartEngineGeorge Mason University

Backend engineer with experience in fraud reporting and billing systems, building Java/Spring Boot services behind a React frontend and improving performance 40%+ with caching and SQL optimization while maintaining 99.9% uptime. Has hands-on experience migrating a monolith to microservices with incremental rollout, clear data ownership boundaries, and production-grade API reliability/security practices (JWT/OAuth, RBAC, row-level scoping).

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KS

Kush Shah

Screened

Senior Frontend/Full-Stack Engineer specializing in scalable React/Next.js systems

Denver, CO7y exp
AmplifireTexas A&M University

Backend/data engineer who reports building production Python services (FastAPI + JWT) backed by Postgres and Redis, and modernizing data workflows using AWS Glue + PySpark with S3/RDS. States experience delivering AWS solutions (S3, SES, Cognito) and using golden datasets/snapshot testing for migration parity, with many details withheld due to NDAs. Seeking fully remote work with a $300k base salary expectation.

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