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Vetted NestJS Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in backend microservices and cloud platforms
Senior Full-Stack AI Engineer specializing in FinTech and Healthcare AI
Mid-level Machine Learning & Full-Stack Engineer specializing in LLM platforms and cloud-native apps
Senior Software Engineer specializing in cloud microservices and real-time data platforms
Junior Machine Learning Engineer specializing in LLMs, RAG, and multi-agent learning
Senior Frontend/Mobile Engineer specializing in React and React Native
Senior Full-Stack Engineer specializing in cloud-native microservices and FinTech
Executive Technology Leader (CTO) specializing in scalable platforms, FinTech, and AI/LLM systems
Mid-Level Full-Stack Software Engineer specializing in FinTech and Healthcare IT
Senior Full-Stack Engineer specializing in scalable web platforms and e-commerce
Mid-level Full-Stack Engineer specializing in Java/Spring Boot and cloud-native microservices
Senior Full-Stack Developer specializing in .NET and cloud-native web applications
Senior Backend Software Engineer specializing in distributed systems and data pipelines
Senior Full-Stack Software Engineer specializing in AI-enabled microservices and micro-frontends
Mid-Level Full-Stack Software Developer specializing in Healthcare IT and FinTech
Engineering Manager specializing in scalable SaaS, AI/LLM analytics, and data platforms
Senior Front-End Engineer specializing in React/Next.js and secure federal UI/UX
Senior DevOps & Cloud Engineer specializing in Kubernetes, multi-cloud, and LLMOps
Senior Unity & Full-Stack Engineer specializing in VR/XR and multiplayer systems
Senior Software Engineer specializing in backend, cloud platforms, and AI/ML
Executive Technology Leader (CTO) specializing in E-commerce, SaaS, and AI
Mark Wlodawski
Senior Unity Developer specializing in AI/LLM systems and multiplayer VR
“Backend/data engineer focused on AWS-native Python systems: built a FastAPI microservice on ECS/Fargate serving real-time analytics at millions of daily requests with strong reliability (OAuth2/JWT, retries/timeouts, correlation IDs) and autoscaling. Also delivered Glue/PySpark ETL pipelines to curated S3 Parquet/Athena with schema evolution + data quality controls, owned Airflow pipeline incidents, and has a track record of measurable performance and cost optimizations (e.g., ~80%+ query latency reduction; reduced logging/NAT/Fargate spend).”