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Vetted AI & Machine Learning Professionals in New York
Pre-screened and vetted in New York.
Popular Titles
Govinda Rai
Mid-level AI/ML Engineer specializing in financial services and generative AI
Nissim Steinberg
Senior Full-Stack AI/ML Engineer specializing in LLM agents and RAG systems
Neha mayekar
Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and NLP
Nandini Matta
Mid-level AI/ML Engineer specializing in forecasting, anomaly detection, and enterprise ML pipelines
abhay barage
Mid-level Machine Learning & Biostatistics professional specializing in healthcare AI
Alex Meredith
Executive Growth & Product Leader specializing in marketplaces, FinTech, and PLG
Soumya Gade
Mid-level AI Engineer specializing in LLM agents and RAG systems
Sean Gannon
Mid-Level Software Engineer specializing in AI platforms and backend systems
Vamshi Konapuram
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and MLOps
silin liu
Mid-level AI/ML Engineer specializing in LLM agents, RAG, and enterprise ML systems
“Built a production multi-agent recommendation/RAG system for internal data analysts to speed up weekly report creation by improving document discovery and automating report/SQL generation. Implemented LangGraph-based orchestration with deterministic agent routing, robust error handling (interrupt/resume), and metadata-driven semantic chunking for diverse PDF/document formats, plus monitoring for latency, throughput, and token/cost efficiency.”
Utkarsh Srivastava
Junior Machine Learning Engineer specializing in LLMs, RAG, and medical imaging
“At Fileread, the candidate built and deployed an LLM-powered legal document classification and retrieval layer for an agentic extraction system that turns unstructured legal PDFs into structured tables with line-level citations. They productionized a RAG-style pipeline (ingestion, embeddings, retrieval, reranking, generation) and report 95%+ F1 across 70+ legal categories, emphasizing rigorous evaluation and close collaboration with legal domain experts for high-stakes precision.”
Nikhil Soni
Junior AI/ML Engineer specializing in LLM systems and retrieval-augmented generation
“Built and deployed a production LLM-powered market intelligence and decision-support platform for noisy, real-time financial data, using a high-throughput embedding + vector DB RAG architecture to reduce hallucinations while keeping latency and cost low. Operated it at scale with GPU-backed inference (continuous batching/quantization), FastAPI on Kubernetes, and Airflow-orchestrated ingestion/embedding/retraining workflows, with strong schema-based reliability and monitoring.”
Saiteja Miyapuram
Mid-level AI/ML Engineer specializing in computer vision, NLP, forecasting, and GenAI
Praagna Prasad Mokshagundam
Intern AI Engineer specializing in LLM/RAG and full-stack product development
Niharika Amilineni
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and financial risk analytics
Rahul Pudurkar
Mid-level Full-Stack Software Engineer specializing in AI/ML and GenAI platforms
Siva Sai Kilari
Mid-level ML Engineer specializing in generative AI, RAG, and production ML systems
Sri Mallika Ponnada
Mid-level GenAI/ML Engineer specializing in LLM agents and RAG for fraud detection
Thais Velazquez
Junior Full-Stack & Machine Learning Engineer specializing in research and web applications
Nandini Vadlamudi
Mid-level AI/ML Engineer specializing in credit risk, fraud detection, and NLP in financial services
Nan Xiao
Junior AI Engineer specializing in LLMs, RAG, and agent evaluation