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Vetted Azure DevOps Professionals
Pre-screened and vetted.
Intern Software Engineer specializing in cloud, DevOps, and LLM-powered tooling
Mid-level Full-Stack Developer specializing in AI-driven FinTech platforms
Senior Data Engineer specializing in cloud lakehouse platforms and healthcare data
Senior Software Engineer specializing in Healthcare IT and cloud-native microservices
Senior Product Leader specializing in AI platforms and enterprise SaaS
Senior Full-Stack Engineer specializing in cloud-native enterprise applications and ServiceNow ITSM
Senior Software Engineer specializing in cloud platforms and real-time collaboration
Mid-level DevOps Engineer specializing in cloud-native CI/CD and Kubernetes
Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications
Staff Full-Stack Software Engineer specializing in cloud-native microservices
Executive IT leader specializing in digital transformation and enterprise systems
Senior Software Engineer specializing in full-stack SaaS, AI workflows, and FinTech
Senior Site Reliability Engineer specializing in multi-cloud, Kubernetes, and observability
Ashutosh Choudhari
Mid-level AI/ML Engineer specializing in LLM applications and cloud-native systems
“LLM engineer who has shipped production AI systems, including an RFP requirements extraction platform (OpenAI o4-mini + Azure AI Search + FastAPI) achieving 90%+ accuracy and ~5x throughput through grounding, structured outputs, parallelization, and caching. Also partnered with legal/compliance stakeholders at Nexteer Automotive to deliver an AI document comparison tool with traceability and confidence indicators, adopted by non-technical users and saving ~2 FTEs of review time.”
Vyas Cholayil
Mid-Level Software Engineer specializing in Python automation, DevOps, and microservices
“Backend-focused engineer who built an internal wiki LLM chatbot end-to-end using FastAPI, Kubernetes, and ChromaDB vector search, including frontend integration. Also has strong DevOps/migration experience—automating large work-item and repo migrations (Jira/FogBugz/ADO on-prem to cloud) via Python scripts, JSON mappings, REST APIs, and validation test suites.”
Travoy Spelling
Senior Data Scientist / ML Engineer specializing in GenAI, LLMs, and NLP
“ML/NLP engineer focused on production GenAI and data linking systems: built a large-scale RAG pipeline over millions of support docs using LangChain/Pinecone and added a LangGraph-based validation layer to cut hallucinations ~40%. Also built scalable PySpark entity resolution (95%+ accuracy) and fine-tuned Sentence-BERT embeddings with contrastive learning for ~30% relevance lift, with strong CI/CD and observability practices (OpenTelemetry, Prometheus/Grafana).”