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Vetted AI & Machine Learning Professionals in New Jersey
Pre-screened and vetted in New Jersey.
Mid-level Backend & Full-Stack Developer specializing in AI and FinTech systems
Mid-level AI/ML Engineer specializing in computer vision, NLP, and generative AI
Mid-level AI/ML Engineer specializing in LLMs, RAG, and cloud MLOps
Senior AI/ML Engineer specializing in FinTech and healthcare analytics
Mid-level AI/ML Developer specializing in healthcare and financial services
Mid-level AI/ML Engineer specializing in clinical AI and RAG systems
Mid-level Machine Learning Engineer specializing in LLM applications and MLOps
Mid-level ML Engineer specializing in production NLP, forecasting, and anomaly detection
Mid-level AI/ML Engineer specializing in Generative AI agents and enterprise analytics
Senior Machine Learning Engineer specializing in AI, NLP, computer vision, and GenAI
Mid-level AI/ML Engineer specializing in conversational AI, NLP, and LLM-powered RAG systems
Soham Patel
Mid-level Machine Learning Engineer specializing in healthcare NLP and MLOps
“ML/AI practitioner in healthcare (Syneos Health) who has deployed production clinical NLP and risk models. Built a BERT-based physician-note information extraction system on Docker + AWS SageMaker (reported ~42% retrieval improvement) and automated retraining/deployment with Airflow and drift detection, while partnering closely with clinicians to drive adoption (reported ~18% readmission reduction).”
shiva kumar kotha
Mid-level AI/ML Engineer specializing in Generative AI and healthcare data
“Built and deployed a production RAG-based document Q&A system on Azure OpenAI to help business teams search thousands of PDFs/Word files, using Qdrant vector search, MongoDB, and a Flask API. Demonstrates strong production engineering (streaming large-file ingestion, parallel preprocessing, monitoring/retries) plus systematic prompt/embedding/chunking experimentation to improve accuracy and reduce hallucinations, and has hands-on orchestration experience with ADF/Airflow/Databricks/Synapse.”
Tejaswi Rao
Mid-level Machine Learning Engineer specializing in MLOps and GenAI analytics
“ML/LLM practitioner who has deployed a production RAG-based trouble-call identifier using multiple datasets (device, network, past complaints). Experienced in end-to-end MLOps (FastAPI + Docker + Kubernetes with HPA) and in evaluating/monitoring LLM behavior to reduce hallucinations, with additional applied work in forecasting/anomaly detection and churn prediction for retention campaigns.”
Mid-level Machine Learning Engineer specializing in GenAI and healthcare AI
Senior AI/ML Engineer specializing in Generative AI, RAG, and LLM fine-tuning
Mid-level AI/ML Engineer specializing in RAG, NLP, and production ML systems
Mid-level AI/ML Engineer specializing in NLP, LLM fine-tuning, and RAG pipelines