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Vetted Azure Kubernetes Service Professionals
Pre-screened and vetted.
Senior DevOps/SRE Engineer specializing in multi-cloud Kubernetes and reliability
Mid-level Full-Stack Java Developer specializing in Spring Boot microservices and React
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices (Finance/Insurance)
Mid-level AI/ML Engineer specializing in LLM agents, search/recommendation, and MLOps
Mid-level ML Engineer specializing in FinTech risk, fraud, and GenAI RAG systems
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
Principal AI Architect & Data Engineer specializing in GenAI, agentic systems, and MLOps
Senior Full-Stack Software Engineer specializing in AI/ML and LLM automation
Mid-Level .NET Software Engineer specializing in cloud-native enterprise applications
Junior Software Engineer specializing in distributed systems and cloud infrastructure
Mid-level AI/ML Engineer specializing in cloud AI, MLOps, and NLP
Mid-level Data Engineer specializing in cloud data platforms and real-time pipelines
Senior DevSecOps Engineer specializing in AWS GovCloud, Kubernetes, and compliance automation
Rakesh Kumar
Mid-level Software Engineer specializing in cloud-native microservices, DevOps, and SRE
“Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.”
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.”