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Vetted API Gateway Professionals
Pre-screened and vetted.
Mid-level Full-Stack & AI Engineer specializing in Python, cloud, and LLM applications
Mid-level Software Development Engineer specializing in distributed systems and GenAI
Senior Generative AI & Machine Learning Engineer specializing in LLMs and MLOps
Mid-Level Software Engineer specializing in full-stack development and LLM/GenAI systems
Mid-level Software Engineer specializing in full-stack and cloud-native systems
Mid-level Full-Stack Engineer specializing in cloud-native microservices
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and deep learning
Mid-level Software Engineer specializing in cloud-native microservices and MLOps
Intern Software Engineer specializing in cloud, backend systems, and LLM-powered tooling
Junior Full-Stack Software Engineer specializing in web, mobile, and AI applications
Mid-Level Software Engineer specializing in cloud data platforms and full-stack web development
Senior Software & Data Engineer specializing in cloud platforms and streaming data
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and LLM/RAG systems
Mid-Level Software Engineer specializing in cloud-native distributed systems
Vidhi Chhatbar
Mid-level Full-Stack Software Engineer specializing in microservices, cloud, and GenAI
“Software engineer with experience across enterprise (AIG, MSCI) and an early-stage startup (Job Map), owning production systems end-to-end. Built secure insurance microservices on Spring Boot with JWT/RBAC and AWS-based CI/CD/observability, plus Kafka streaming pipelines for financial data. Also shipped a GenAI personalization MVP using FastAPI and LLM APIs in a high-ambiguity startup environment.”
mahesh narne
Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps
“Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.”