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Vetted Nginx Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native microservices and real-time data processing
Mid-level Full-Stack Developer specializing in FinTech and modern web platforms
Mid-level Full-Stack Engineer specializing in React, Node.js, and microservices
Senior Cloud Engineer specializing in AWS & Azure infrastructure, security, and automation
Junior Data Scientist / ML Engineer specializing in applied ML, data pipelines, and full-stack systems
Junior Full-Stack/DevOps Engineer specializing in AWS, Kubernetes, and AI model evaluation
Mid-Level Software Engineer specializing in cloud microservices and GenAI RAG systems
Senior Site Reliability/DevOps Engineer specializing in AWS/Azure Kubernetes and CI/CD
Senior DevOps/SRE Engineer specializing in cloud infrastructure and CI/CD
Senior AI Engineer specializing in healthcare AI and full-stack intelligent systems
Mid-level DevOps Engineer specializing in cloud infrastructure and CI/CD automation
Intern-level Software Engineer specializing in full-stack and cloud systems
Senior Full-Stack Software Engineer specializing in .NET enterprise web systems
Senior Full-Stack Engineer specializing in scalable backend and marketplace systems
Junior Full-Stack Engineer specializing in scalable web platforms and FinTech
Entry-level Full-Stack Software Engineer specializing in web, ML, and robotics systems
Senior Full-Stack Engineer specializing in scalable web apps and API architecture
Senior DevOps/SRE Engineer specializing in multi-cloud infrastructure and Kubernetes
Akshay Khan
Mid-level Backend Software Developer specializing in cloud-native microservices
“Backend engineer with American Express experience maintaining an internal Python/Flask rewards simulation microservice used by product analysts and QA. Demonstrated strong performance and scalability work: moved batch simulations to Celery, added Redis caching to cut DynamoDB latency, and tuned Postgres/SQLAlchemy queries with EXPLAIN ANALYZE and composite indexes (bringing API responses under ~200ms by queueing jobs). Also has experience integrating ML via Flask-based model-serving APIs (scikit-learn/LightGBM packaged with joblib) and designing multi-tenant data isolation and tenant-specific configuration systems.”
Vedang Jadhav
Mid-Level Software Engineer specializing in cloud-native microservices on AWS
“Backend engineer with experience across healthcare and fintech platforms (Anthem, Citia) building high-throughput Python microservices with strong compliance/security focus (HIPAA, tenant isolation). Has integrated ML workflows into production systems (ResNet embedding-based image similarity) using async pipelines (Celery/Redis) and AWS (Lambda/S3/ECS), delivering measurable performance and fraud/content-integrity improvements at scale.”