.png){kind=logo}
Vetted Monitoring Professionals
Pre-screened and vetted.
Junior Network & Systems Engineer specializing in Fortinet security and automation
Senior Full-Stack Engineer specializing in Python/TypeScript web apps and AI (RAG, agentic workflows)
Junior Software Engineer specializing in computer vision and LLM-powered systems
Mid-level Software Engineer specializing in backend systems, data pipelines, and AI/RAG
Mid-level Full-Stack & Mobile Developer specializing in Flutter and modern web stacks
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Full-Stack Engineer specializing in Python/Flask, React, and autonomous AI systems
Mid-level Java Full-Stack Developer specializing in cloud microservices and AI/ML integration
Mid-level DevOps/Cloud Engineer specializing in AWS EKS and Terraform
Mid-Level Backend Software Engineer specializing in PHP/Laravel performance and APIs
Intern Full-Stack Software Engineer specializing in Node.js, AWS, and scalable backend systems
Entry-Level DevOps Engineer specializing in CI/CD automation and cloud infrastructure
Mid-level Software Engineer specializing in Python automation and GenAI on AWS
Entry-Level Full-Stack Engineer specializing in backend APIs and cloud architectures
Mid-level Back-End Engineer specializing in scalable APIs and multi-tenant systems
Junior AI Engineer specializing in production RAG systems and GPU-accelerated inference
Intern Full-Stack Developer specializing in React, Node.js, and TypeScript
Mid-level Data Engineer specializing in cloud-native batch and streaming pipelines
Mid-level DevSecOps Engineer specializing in AWS cloud security
Haeshitha Indukuri
Entry AI/ML Engineer specializing in Generative AI, LLMs, and MLOps
“Built and productionized a MediCloud/Medicoud LLM microservice platform that lets clinicians query medical data in natural language, orchestrating multi-step RAG-style workflows with LangChain and evaluating/debugging with LangSmith. Delivered measurable gains (consistency ~70%→90% / +20%; latency ~2.0s→1.1s / -40%) by implementing structured prompts, fallback logic across multiple LLMs, hybrid retrieval tuning, and AWS Lambda performance optimizations (package size, async, caching).”
Thimone Noupa
Mid-level DevOps Engineer specializing in AWS, Kubernetes, and CI/CD automation
“DevOps/cloud infrastructure engineer focused on AWS automation: built GitHub Actions/Jenkins pipelines for containerized deployments with strong security controls and rollback, and implemented Terraform-based AWS provisioning with modular code and remote state/locking. Has led on-prem to AWS migration cutovers with structured risk/rollback planning and stabilization, but has not worked directly with IBM Power/AIX/LPARs or PowerHA/HACMP.”