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Vetted Caching Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in Java/Spring microservices and modern web front ends
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Software Engineer specializing in GenAI, RAG, and distributed systems
Mid-level Machine Learning Engineer specializing in NLP, time-series forecasting, and edge AI
Mid-level Full-Stack Developer specializing in Java/Spring and modern web apps
Senior Frontend/Full-Stack Engineer specializing in React, Next.js, and TypeScript
Mid-level AI/Data Engineer specializing in LLMs, RAG pipelines, and cloud data platforms
Mid-Level Full-Stack Software Engineer specializing in cloud, web apps, and GenAI
Junior Software Engineer specializing in platform operations and secure authentication
Mid-level Backend Software Engineer specializing in Java microservices and cloud-native systems
Senior Full-Stack Developer specializing in React Native and enterprise healthcare apps
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
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.”
Soumya Perala
Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation
“Backend/platform engineer who has owned a real-time data ingestion/processing/reporting API built with FastAPI, Redis, and Celery, including performance tuning via query/index optimization, caching, and async workers. Strong Kubernetes + CI/CD + GitOps (ArgoCD) experience, plus hands-on monitoring/logging (Prometheus/Grafana/ELK) and a Kafka/Spark real-time streaming project from their master’s program.”
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.”