Vetted Microsoft Azure Professionals

Pre-screened and vetted.

MT

Senior Full-Stack/Backend Engineer specializing in distributed systems and cloud-native platforms

Oakland, California8y exp
Wana Technologies
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HA

Senior Full-Stack Software Engineer specializing in AI/LLM-powered web applications

Virginia, United States9y exp
Futuristic Labs
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AR

Senior Full-Stack Python Engineer specializing in AI/LLM-powered web applications

United States7y exp
Futuristic Labs
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IS

Senior Full-Stack Engineer specializing in scalable web applications

Dallas, TX8y exp
Goals and Gambles
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MK

Senior Software Engineer specializing in AI/ML systems

Stafford, VA7y exp
Intellirent
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SB

Executive engineering leader specializing in SaaS platform architecture

Santa Monica, CA35y exp
WaitListings
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AK

Senior Full-Stack Engineer specializing in web applications and cloud platforms

7y exp
OHRG
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MR

Director-level Engineering Leader specializing in scalable cloud platforms and real-time AI systems

Dubai, United Arab Emirates15y exp
Virtue Thereby & Research
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ML

Senior Machine Learning Engineer specializing in Generative AI and MLOps

Stafford, VA10y exp
DenebSolution
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DH

Senior Full-Stack Software Engineer specializing in AI and healthcare applications

Providence, RI11y exp
yconic
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AZ

Senior Full-Stack Engineer specializing in Python back-end systems and scalable web apps

Dumfries, Virginia8y exp
Blended Sense
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JA

Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes

Rosenberg, TX12y exp
IT GOAT
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OW

Mid-level Full-Stack Engineer specializing in web, mobile, AI, and blockchain

Hong Kong, China5y exp
Blockchain Solutions
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AM

Senior Full-Stack Engineer specializing in Python, React, and cloud-native AI features

Springfield, VA10y exp
Mabrook
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NS

Senior QA Associate specializing in game and Xbox platform testing

9y exp
Lionbridge
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MA

Senior Software Engineer specializing in AI/ML and backend systems

Stafford, VA7y exp
Innowise
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CK

Entry-Level AI Engineer specializing in NLP and LLM-powered applications

Fairfax, VA1y exp
George Mason UniversityGeorge Mason University

AI engineer who built an agentic, production-deployed LLM workflow for tobacco violation parsing and automated multi-case creation, using six specialized agents and a human-in-the-loop confidence-threshold routing design. Addressed data privacy constraints by generating synthetic datasets with LLM prompting, and orchestrated reproducible end-to-end pipelines in LangChain with robust testing and evaluation (precision/recall, micro-F1).

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JS

Jatin Soni

Screened

Mid-level Software Engineer specializing in Generative AI and scalable backend systems

Corona, CA3y exp
WellomyTechCalifornia State University, Los Angeles

Backend/AI engineer with production experience in legal tech: built a high-scale licensing/subscription API (FastAPI/Postgres/Stripe) and shipped a RAG-based chatbot for an eDiscovery platform. Designed a robust legal document ingestion workflow that processes thousands of documents into a searchable vector index with clear retry/escalation logic, and has demonstrated measurable Postgres performance wins (200ms to 10ms) using EXPLAIN ANALYZE and composite indexing.

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Kevin Thomas - Intern Software Engineer specializing in AI, cloud, and backend systems in Torrance, CA

Kevin Thomas

Screened

Intern Software Engineer specializing in AI, cloud, and backend systems

Torrance, CA1y exp
Easley-Dunn ProductionsSan Jose State University

Candidate has internship and graduate-project experience building AI agents, including a production log-analysis assistant using a lightweight agentic/RAG-style workflow with local GPT training and validation against historical logs. They also worked on Android/iOS game build and release processes in a Unity-based robot racing game environment, and highlight measurable LLM outcomes including 80% analysis accuracy, 2-5 second latency, and 50% cost reduction.

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Krystal Galdamez - Junior Full-Stack Engineer specializing in AI-powered web applications in San Francisco, CA

Junior Full-Stack Engineer specializing in AI-powered web applications

San Francisco, CA1y exp
LVC SolutionsApp Academy

Startup-focused engineer who has shipped Python backend features, AI integrations, and Playwright automation for products including an AI coaching platform and hiring workflow tools. Stands out for working through ambiguous zero-spec environments, hardening flaky Firebase-authenticated test flows, and designing practical fallback paths when AI outputs are unreliable.

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Yash Mahajan - Junior Software Engineer specializing in AI, full-stack development, and applied ML in Fullerton, CA

Yash Mahajan

Screened

Junior Software Engineer specializing in AI, full-stack development, and applied ML

Fullerton, CA2y exp
California State University, FullertonCalifornia State University, Fullerton

AI/full-stack product builder who has shipped production agentic systems in both customer support analytics and medical claims automation. They combine React/Next.js frontends with Python-based async backends and LLM orchestration, delivering measurable outcomes like 60% cost savings, 40% less manual review, and reducing claims processing from 30 minutes to 20 seconds.

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KS

Mid-level Backend Engineer specializing in FinTech infrastructure

Accra, Ghana6y exp
RNS.IDMEST Africa

Backend-leaning fintech engineer who led a small pre-seed team building cross-border remittance and payment API products. Brings a mix of technical leadership, customer-facing product discovery, and hands-on experience with scalable payment infrastructure, compliance integrations, and cloud deployment on AWS.

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Hamna Anwar - Senior Full-Stack Engineer specializing in Go backend systems in Hayward, CA

Hamna Anwar

Screened

Senior Full-Stack Engineer specializing in Go backend systems

Hayward, CA8y exp
HosstedVirginia Commonwealth University

Full-stack/backend engineer with startup-style experience spanning healthcare and B2B infrastructure SaaS. Has worked across Python, Go, and React/TypeScript, including migrating services from Node.js to Go, building microservices and dashboards, and delivering measurable API performance gains through database tuning and Redis caching.

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