.png){kind=logo}
Vetted Software Engineers in the NYC Metro
Pre-screened and vetted in the NYC Metro.
Mid-Level Software Engineer specializing in backend systems and LLM-powered workflows
Mid-Level Backend & Cloud Engineer specializing in distributed systems and FinTech
Senior Backend/Cloud Engineer specializing in AWS microservices and data pipelines
Mid-Level Full-Stack Software Engineer specializing in DevOps automation and AI applications
Senior Full-Stack/Platform Engineer specializing in cloud, Kubernetes, and AI automation
Mid-Level Software Engineer specializing in full-stack, cloud, and AI/ML
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
AI/ML Software Engineer specializing in LLM agents and distributed systems
Mid-level Full-Stack .NET Developer specializing in cloud-native APIs and data platforms
Junior Backend Software Engineer specializing in FinTech trading systems
Senior Software Engineer specializing in cloud-native SaaS, IoT, and GenAI platforms
Mid-Level Full-Stack Software Engineer specializing in AI-native workflows
Senior Software Engineer specializing in FinTech and distributed systems testing
Mid-level Software Engineer specializing in product engineering and AI orchestration
Lukas Chin
Junior Full-Stack Software Engineer specializing in web and mobile applications
“Full-stack engineer with startup experience who owned an end-to-end rebuild of a production analytics page at VideoNest (Next.js/TypeScript frontend, FastAPI/Python backend, Postgres), including third-party data ingestion/sync and query/index optimization; the feature reached 2,500+ users and received positive feedback from large clients. Also built a habit/community mobile app (Celeri) with near-real-time step updates using polling and UI optimizations like pagination and selective re-rendering.”
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.”