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Vetted SDLC Professionals
Pre-screened and vetted.
Senior Full-Stack Java Developer specializing in cloud-native microservices and modern web apps
Mid-level Full-Stack Software Engineer specializing in AI, data pipelines, and cloud-native apps
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and AI/ML APIs
Senior Mobile & Full-Stack Developer specializing in React Native and scalable cross-platform apps
Senior Frontend Engineer specializing in React, SaaS, and AI-powered web applications
Junior Full-Stack Developer specializing in web applications and AI-enabled platforms
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Software QA Engineer specializing in web, mobile, and test automation
Mid-Level Backend Software Engineer specializing in PHP/Laravel performance and APIs
Junior Software Engineer specializing in data analytics and machine learning
Mid-Level Java Software Developer specializing in Spring and cloud-based web applications
Junior QA Engineer specializing in manual testing, regression, and CI/CD deployments
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and Voice AI
Junior QA Game Tester specializing in console porting and gamification
Umair Shamoon
Mid-level Full-Stack Developer specializing in MERN/MEAN and cloud-native web apps
“Frontend engineer with end-to-end ownership of React/Next.js products, focused on scalable component-based architecture and quality via CI/CD, automated testing, and disciplined PR reviews. Built React + TypeScript dashboards with role-based views using Zustand, and improved existing codebases by decoupling components and boosting performance through code splitting, lazy loading, and standardized shared components.”
Mahaboob Johny
Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards
“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”
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.”