.png){kind=logo}
Vetted RabbitMQ Professionals
Pre-screened and vetted.
Mid-level Full-Stack Software Engineer specializing in AI-driven web applications
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Mid-level Backend Engineer specializing in microservices and event-driven systems
Mid-level Full-Stack Developer specializing in cloud-native apps, AI/ML, and microservices
Junior Software Engineer specializing in backend systems and cloud messaging
Senior Full-Stack Engineer specializing in backend systems and cloud-native microservices
Mid-level Full-Stack Engineer specializing in Python microservices and cloud automation
Mid-level Software Development Engineer specializing in backend systems and ML platforms
Entry-Level Software Engineer specializing in backend systems and cloud messaging
Poorna Pedapudi
Mid-Level Software Engineer specializing in distributed backend systems and cloud-native microservices
“Software engineer focused on data platforms and applied LLM systems: built an internal data quality monitoring layer to catch silent data drift and iterated post-launch after finding ~30% false-positive alerts, reducing noise via dynamic baselines and improved structured logging. Also shipped a production RAG-based internal knowledge assistant over Jira/Confluence with citations, confidence-based fallbacks, and nightly automated evals to prevent regressions.”
Ruturaj Ghatage
Junior Software Engineer specializing in full-stack, cloud infrastructure, and applied AI
“Master’s student at UC San Diego who built an LLM-powered healthcare chatbot for patient history-taking and sepsis-related output, using a Node.js backend integrated with FastAPI for RAG/LLM interactions and a Flutter client. Also has healthcare AI startup experience deploying on AWS (ECS/Terraform/Docker) and implementing Kubernetes autoscaling to improve efficiency and reduce costs, with strong iterative evaluation in collaboration with a physician.”
Shubham Singh
Mid-level Software Engineer specializing in LLM systems and intelligent search
“Backend engineer from Palantir who built and productionized an enterprise LLM-based document intelligence/search platform, evolving it into a hybrid lexical+vector retrieval system. Emphasizes reliability and cost control via strict LLM gating, robust fallback paths, and evaluation frameworks (e.g., MMLU/BLEU), plus disciplined migration practices (feature flags, dual-writes, shadow reads) to ship changes safely at scale.”
Junior Full-Stack Developer specializing in cloud-native microservices
Mid-Level Software Engineer specializing in FinTech, treasury systems, and compliance platforms
Mid-level Software Engineer specializing in cloud and full-stack web development
Senior Software Engineer specializing in cloud storage and infrastructure
Senior Full-Stack Engineer specializing in Python, AI automation, and cloud microservices
Senior Full-Stack Engineer specializing in AWS, Ruby on Rails, and JavaScript
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Senior Software Engineer specializing in scalable platforms and AI-driven personalization