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Vetted Engineering Professionals in the NYC Metro
Pre-screened and vetted in the NYC Metro.
Popular Titles
Mid-level Full-Stack Developer specializing in FinTech and enterprise cloud platforms
Senior Full-Stack .NET Developer specializing in cloud and AI integrations
Mid-level Backend Software Engineer specializing in scalable distributed systems
Senior Backend/Full-Stack Engineer specializing in PHP/Python, APIs, and web platforms
Junior Software Developer specializing in data-driven insurance and analytics
Senior Cloud & Systems Engineer specializing in AWS infrastructure and automation
Mid-level Full-Stack Java Developer specializing in cloud-native microservices and React
Mid-Level Full-Stack Software Engineer specializing in cloud and scalable web systems
Senior Full-Stack PHP Developer specializing in API-first eCommerce platforms
Senior DevOps & Site Reliability Engineer specializing in multi-cloud CI/CD and IaC
Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI
Mid-level Full-Stack Engineer specializing in Java (Jakarta EE) and React/Angular
Senior Full-Stack Software Engineer specializing in cloud microservices and data platforms
Naga Karumuri
Mid-Level Full-Stack Engineer specializing in AI and 3D computer vision
“Built and productionized an LLM-driven document verification workflow for a construction firm’s submittals process, moving from a Vercel/Next.js prototype to a FastAPI + LangChain/LangGraph backend with background workers and multi-server deployment. Uses LLM tools (e.g., OpenAI Codex/Cloud Code) for rapid development and log-driven root cause analysis, and partners with customer teams on evaluation metrics and iterative improvements.”
Joseph Lin
Intern Software Engineer specializing in full-stack development and applied AI
“Internship experience building an end-to-end medical AI pipeline that extracts and normalizes messy medical PDFs, fine-tunes BioBERT to classify tumor-related statements (including negation/ambiguity handling), and integrates image-model outputs (MedSAM/GroundingDINO) for tumor localization and classification. Also worked on an LLM/RAG system to draft IPO prospectuses using retrieved regulatory/financial sources (including SEC EDGAR) with structured prompts to reduce hallucinations.”
Dylan Zhu
Mid-level Machine Learning Engineer specializing in computer vision and generative AI
“Built and deployed an LLM/RAG system that uses differential privacy and distributional similarity checks to transform private data into a non-sensitive knowledge base while preserving utility. Also has experience demonstrating adversarial ML concepts (FGSM) to non-technical audiences by focusing on observable model behavior rather than implementation details.”