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Vetted Azure Kubernetes Service Professionals
Pre-screened and vetted.
Senior Full-Stack Python Engineer specializing in cloud microservices and AI/LLM systems
Senior Full-Stack Developer specializing in cloud-native microservices and AI-driven healthcare apps
Executive FinTech Founder and Software/Finance Leader specializing in data pipelines and valuation
Senior Software Engineer specializing in full-stack systems and telemetry platforms
Senior Full-Stack & AI/ML Engineer specializing in cloud-native SaaS and IoT analytics
Senior Cloud Engineer specializing in AWS/Azure infrastructure, DevOps, and cloud-native platforms
Abhishek Soppanna
Mid-level DevOps Engineer specializing in cloud-native infrastructure on AWS and Azure
“DevOps/SRE focused on cloud-based distributed systems, with strong hands-on Kubernetes production experience (microservices deployments, Helm, probes, resource tuning, CI/CD and Docker build standardization). Demonstrated end-to-end troubleshooting across application, infrastructure, and networking layers—e.g., isolating degraded storage via node disk I/O metrics and restoring performance by draining the node and replacing the volume. Builds Python automation for operational reliability, including scheduled Kubernetes secrets rotation integrated with an external secret manager.”
Senior Software Engineer specializing in full-stack web platforms and cloud-native backend systems
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Senior Cloud/DevOps Engineer specializing in Kubernetes, IaC, and multi-cloud platforms
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Senior Full-Stack Engineer specializing in scalable cloud platforms and AI integrations
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Senior Software Engineer specializing in AI/ML, search, and scalable cloud platforms
Staff-level Software Engineer specializing in .NET microservices for FinTech and Healthcare
Senior Software Engineer specializing in backend platforms, reliability, and APIs
Christopher Kanten
Senior Backend Engineer specializing in Node.js, Java, and regulated SaaS platforms
“Built a production LLM-powered root cause analysis agent for supply chain alerts that helped operations managers avoid manual dashboard investigation. Demonstrates unusually strong depth in agent reliability, orchestration, and observability, with concrete production practices like hallucination blocking, shadow testing on 500 cases, and data-driven improvements that raised user agreement to 94% while cutting GPT-4 usage by 60%.”
fritzie alex
Executive engineering leader specializing in AI-native transformation and cloud modernization
“Senior software engineering leader who owned the architecture and delivery of a major VerizonWireless.com transformation, migrating an ATG monolith to Spring Boot/Java microservices with an event-driven architecture across 13 domains. Combines hands-on system design depth with business-facing architecture leadership and team scaling in complex enterprise environments.”
Akhil Maram
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”
Parth Vadera
Senior AI/ML Data Scientist specializing in recommender systems, LLMs, and MLOps
“ML/NLP leader with 12+ years of impact across LinkedIn, TikTok, and Levi's, building and productionizing multimodal recommendation and embedding-based search systems. Deep experience in entity resolution, vector retrieval, and rigorous evaluation, with cloud-native deployment/monitoring (MLflow, Airflow, SageMaker/Lambda, Azure ML, Kubernetes) and demonstrated double-digit relevance gains at millions-of-users scale.”
Dennis Noto
Executive Technology & Security Leader specializing in FinTech, AI platforms, and enterprise modernization
“Technology transformation leader who builds board-approved roadmaps and scales engineering orgs with strong Agile execution. Led large modernization efforts (e.g., Scottrade: 3,000 programs/4M LOC in 18 months) and scaled POCs into enterprise SaaS platforms using Docker, Kubernetes, Helm, and Terraform for high-concurrency workloads.”