.png){kind=logo}
Vetted Authorization Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in GenAI, RAG, and multi-agent orchestration
Mid-Level Software Engineer specializing in backend, observability, and LLM systems
Mid-level Full-Stack Java Developer specializing in cloud-native FinTech platforms
Mid-level Backend & Systems Engineer specializing in low-latency distributed systems
Senior Front-End Developer specializing in Angular and React web applications
Mid-level Full-Stack Engineer specializing in Java/Spring and AWS microservices
Mid-level Full-Stack Software Developer specializing in Django/React and cloud-native systems
Mid-level Full-Stack .NET Developer specializing in Angular and ASP.NET Core APIs
Senior Software Engineer specializing in full-stack web apps and LLM/RAG systems
Mid-level Full-Stack Java Developer specializing in cloud microservices and React
Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Mid-Level .NET Full-Stack Developer specializing in Azure cloud and SPA development
Bhuvaneswari Kudaravalli
Mid-Level Full-Stack Software Engineer specializing in TypeScript, React/Next.js, and Node/Nest APIs
“Full-stack engineer who built and scaled an AI-powered web product (React/Next.js + TypeScript/NestJS) with MongoDB, Redis, and RabbitMQ. Strong in rapid iteration while maintaining production quality—uses versioned APIs, feature flags, CI/CD, and observability (correlation IDs/structured logs) to ship frequently and debug distributed workflows. Also created an internal operations dashboard for real-time visibility and control of background jobs/AI workflows that was adopted quickly by ops and product teams.”
Timothy Flechtner
Executive Technology & Product Leader specializing in games, platforms, and real-time systems
“Engineering leader with gaming and fintech/trading-firm experience who built a sponsor-funded gaming rewards platform (AmEx-style) requiring integrations across Steam/Epic/Xbox/PlayStation and Discord. Emphasizes production-grade, 12-factor delivery with Terraform/Docker/CI/CD and automated testing, plus pragmatic org scaling and remote-team culture built on aligned autonomy and trust.”
Rathi Anand
Senior Full-Stack Software Engineer specializing in Insurance, FinTech, and AI/ML applications
“AI/backend engineer who fine-tuned and deployed a production LLM chatbot using a LangChain + FAISS RAG pipeline, improving latency with PEFT/LoRA and driving strong business impact (40% customer adoption; 92% satisfaction). Also served as technical lead on a data aggregation system for underwriting/quoting, introducing GraphQL for more efficient, maintainable querying and applying CDC to keep cached ranking data fresh at scale.”