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Vetted Authorization Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in compliance and risk-sensitive full-stack systems
Mid-level Full-Stack Software Engineer specializing in backend systems and game platforms
Mid-level Full-Stack Software Developer specializing in Django/React and cloud-native systems
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 Backend Engineer specializing in scalable cloud and compliance systems
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.”
Preethi Bandari
Mid-level Full-Stack Developer specializing in scalable web applications
“Developer who uses AI tools pragmatically to accelerate coding while keeping full ownership of system design and decision-making. Emphasizes rigorous review, testing, and alignment with architecture, security, and performance standards, and stays current on AI through both industry sources and hands-on experimentation.”
Jon Vogel
Executive software engineer specializing in iOS, AI, and edge computer vision
“Built a production AI-native internal onboarding feature that reduced manual product setup effort by combining barcode API data, product photos, structured LLM outputs, and a polished real-time camera UI. Demonstrates hands-on experience across the full stack of LLM systems: prompt/schema design, multimodal inputs, backend orchestration with SQS and vector retrieval, and production reliability through evals, telemetry, and drift monitoring.”
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.”