.png){kind=logo}
Vetted Azure Functions Professionals
Pre-screened and vetted.
Mid-Level Cloud & Systems Engineer specializing in Azure, identity/security, and automation
Principal AI Architect & Data Engineer specializing in GenAI, agentic systems, and MLOps
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
Mid-Level Full-Stack Java Developer specializing in FinTech and cloud microservices
Senior Software Engineer specializing in cloud-native microservices and test automation
Mid-Level Full-Stack Software Engineer specializing in cloud, microservices, and DevOps
Senior Full-Stack Developer specializing in .NET, cloud microservices, and modern SPAs
Mid-level Software Engineer specializing in Java microservices and cloud-native systems
Senior Java Full-Stack Developer specializing in cloud-native microservices
Mid-level AI Engineer specializing in LLM automation and RAG systems
Mid-Level .NET Software Engineer specializing in cloud-native enterprise applications
Mid-Level Software Engineer specializing in cloud-native microservices and event-driven systems
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Senior Full-Stack Developer specializing in Azure cloud-native microservices
Mid-level Data Engineer specializing in cloud data platforms and real-time pipelines
Senior .NET Full-Stack Developer specializing in ASP.NET Core, Angular, and Azure
Staff/Lead Full-Stack Software Engineer specializing in .NET, Angular, and cloud architecture
Swapnil Ramanna
Mid-level Data Scientist specializing in Generative AI and Healthcare Analytics
“Built a LangGraph-based, tool-routing LLM chatbot to deliver fast, trustworthy investment-stock insights (including tariff impact) and deployed it to production on Snowflake after initially developing in Azure with AI Search and the Microsoft Agent Framework. Improved routing robustness by moving from LLM-based decisions to a deterministic router backed by schema-relationship graphs and YAML metadata, and ran the project iteratively with non-technical stakeholders over an 8-month engagement.”
Gautam Agrawal
Mid-Level Software Engineer specializing in backend systems, cloud, and applied LLM/NLP
“Applied LLMs to classify long nonprofit mission statements into 8 segments without labeled data, using an ensemble of clustering/embedding methods plus zero-shot RoBERTa/BART and a Tree-of-Thought prompting pipeline with LLM-as-judge evaluation (Gemma). Also built LangChain/LlamaIndex agentic RAG workflows including a text-to-SQL data analysis assistant grounded on DB schema with retries and performance optimizations on an HPC cluster.”