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Vetted Azure DevOps Professionals
Pre-screened and vetted.
Yashwanth J
Mid-level Software Engineer specializing in AI/ML and full-stack systems
“Engineer with Apple experience building LLM-powered internal workflow orchestration systems using Python, LangGraph, FastAPI, Redis, vector search, and Kubernetes. Stands out for a highly pragmatic, production-focused approach to agentic systems: deterministic state management, strong guardrails, observability, and human review for high-risk actions.”
Sandeep Rohilla
Principal Platform Engineer specializing in AI-driven document automation
“Backend engineer who built an event-driven, multi-service resume review system integrating AI/ML workflows. Demonstrated strong performance engineering (e.g., composite indexing dropping latency from ~600ms to ~35ms and major P95 gains) and high-throughput pipeline optimization via caching, batching, and worker concurrency tuning, with multi-tenant isolation implemented across DB and Redis.”
Chaithanya Konda
Mid-level Data Engineer specializing in multi-cloud analytics platforms
“Data engineer with hands-on GCP platform experience spanning BigQuery, Cloud SQL, Dataflow, and Cloud Composer, including both production operations and cloud migration work. They led a migration from legacy SQL Server/Oracle systems to a cloud-native BigQuery architecture and cite measurable impact: processing reduced from hours to minutes, query latency improved 60%+, and ingestion time improved 40%.”
Naga Harshita B
Mid-level Full-Stack Engineer specializing in cloud-native data and enterprise platforms
“Software engineer with practical, day-to-day experience embedding AI into development workflows across coding, testing, code review, and AWS data pipelines. Uses tools like Claude, Cline, JUnit, Mockito, and Amazon Bedrock, and stands out for having a realistic, mature view of agent limitations, hallucinations, and the need for strong prompting and human validation.”
Miloš Mihajlović
Senior Full-Stack Software Engineer specializing in FinTech/PropTech platforms
“Former multi-startup CTO with experience supporting successful capital raises and working directly with boards/investors. Known for implementing operational systems that reduce client escalations (e.g., a status/semaphore overview board) and for building UX-forward MVPs that evolve into automated platforms, including a loan underwriting system for a small US lender.”
Mid-level Machine Learning Engineer specializing in deep learning, MLOps, and real-time inference
Executive Technology Architect & CTO specializing in cloud transformation and cybersecurity
Senior Software Engineer specializing in cloud-native microservices and full-stack web apps
Mid-level Data Analytics Engineer specializing in cloud data platforms and FinTech
Mid-level Full-Stack Developer specializing in cloud-native web applications
Executive technology leader specializing in SaaS, cybersecurity, and healthcare IT
Executive Technology Leader (CTO/CIO) specializing in cloud, AI, and enterprise transformation
Senior .NET Backend Developer specializing in microservices and event-driven systems
Staff Software Engineer specializing in scalable backend systems and observability
Senior Full-Stack Software Engineer specializing in cloud-native web apps and AI integrations
Mid-level Data Scientist specializing in ML, NLP, and fraud/anomaly detection
Mid-level Machine Learning Engineer specializing in LLM inference and MLOps
Mid-level Software Engineer specializing in cloud-native FinTech and distributed systems
Senior Full-Stack Engineer specializing in Python, data engineering, and cloud platforms
Mid-level Software Engineer specializing in cloud-native microservices and full-stack systems