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Vetted Microsoft Azure Professionals
Pre-screened and vetted.
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
Mid-level Python Backend Engineer specializing in cloud-native microservices and event-driven systems
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Senior QA Analyst specializing in manual/automation testing for Guidewire, Salesforce, and E2E systems
Mid-level DevOps Engineer specializing in cloud infrastructure, automation, and CI/CD
Senior Cloud Security Architect specializing in multi-cloud security and DevSecOps
Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Mid-Level Full-Stack Software Engineer specializing in cloud and kiosk applications
Engineering Leader specializing in FinTech, payments, and enterprise platforms
Mid-level Cloud Security & DevSecOps Engineer specializing in AWS/Azure security automation
Mid-Level .NET Full-Stack Developer specializing in Azure cloud and SPA development
Senior Data Strategy & AI Product Consultant specializing in analytics platforms and privacy-safe measurement
Executive Enterprise Architect specializing in cloud, ERP/CRM, integrations, and AI/ML
Mid-Level Full-Stack Java Developer specializing in Spring Boot microservices and Angular
Director of Information Security and Security Engineer specializing in cloud compliance
Director-level Engineering Manager/Architect specializing in enterprise SaaS and cloud platforms
Tushar Jayendra Mhatre
Intern Data Scientist/ML Engineer specializing in generative AI and ML platforms
“AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.”
Tushar Gwal
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and MLOps
“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”
Bharath Reddy Nallu
Mid-level Machine Learning Engineer specializing in NLP and scalable MLOps
“Data/ML engineer in financial services (Northern Trust) who built a production RAG-based LLM system to connect structured transaction/portfolio data with unstructured market and internal documents for risk teams. Strong in end-to-end pipelines (AWS Glue/Airflow/PySpark), entity resolution, and taking models from prototype to reliable daily production with performance tuning (LoRA + TensorRT) and monitoring.”
Bhavesh Ittadwar
Senior Full-Stack Engineer specializing in scalable web and cloud systems
“JavaScript engineer who built a Michelin-specific headless CMS forms platform based on apostrophe-forms, powering forms across 400+ Michelin websites. Designed an extensible, SOLID-aligned modular field architecture with a shared design system, cutting hundreds of lines of per-project code across 10+ implementations while driving cross-device compatibility and performance (BrowserStack, Lighthouse, SSR).”
Praniket Ketan Walavalkar
Junior AI Software Engineer specializing in RAG agents and cloud data platforms
“AI Software Engineer (student employee) at University of Washington IT who helped deploy "Purple," a governed, explainable LLM platform on Azure used by 100,000+ students/faculty/staff. Independently led scalable reliability efforts by building automated agent quality/load/red-team testing and CI/CD health validation (Playwright/Node.js, Azure DevOps), and previously built an explainable AI scheduling assistant for clinical operations at Proliance Surgeons.”