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Vetted NLTK Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Mid-level AI/ML Engineer specializing in NLP, RAG, and agentic AI
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and LLM/RAG systems
Senior Machine Learning Engineer specializing in NLP, Generative AI, and healthcare/legal AI
Mid-level Backend Software Engineer specializing in FinTech and cloud microservices
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Executive Engineering Leader specializing in Telehealth Platforms and Healthcare IT
“Built and deployed a production RAG-based LLM Q&A and summarization platform for internal documents, emphasizing grounded answers with structured prompting and citations to reduce hallucinations. Experienced orchestrating end-to-end LLM workflows with LangChain plus cloud pipelines (Azure ML Pipelines, AWS), and runs iterative evaluation using both metrics (accuracy/hallucination/latency/cost) and real user feedback to drive reliability.”
Hachem Hamadeh
Mid-level Applied AI Engineer specializing in ML systems, MLOps, and industrial analytics
“Industrial AI/ML practitioner with experience deploying real-time monitoring and anomaly detection in a regulated Sanofi vaccine manufacturing facility, including root-cause workflows, logging/alerting, and SOP-aligned validation—achieving ~90% faster anomaly detection. Also built Python/NLP-style automation to accelerate instrumentation & control documentation (~40% faster) and delivered end-to-end predictive analytics for an agri-food operations/distribution client using close operator and leadership feedback loops.”
David Kidwell
Senior AI/ML Data Scientist specializing in NLP, computer vision, and MLOps
“Applied LLMs and a graph-RAG architecture in Neo4j to automate an accounting firm's cross-checking of transactional books against tax regulations, indexing 1,000+ pages into a knowledge graph with vector search. Combines agentic LLM workflows with classical NER (Hugging Face/NLTK) and validates using expert-labeled held-out data plus precision/recall and measured accountant time savings after deployment.”
Mid-level AI/ML Engineer specializing in NLP, MLOps, and compliance-focused ML systems
Junior Data Scientist specializing in causal inference, NLP/LLMs, and forecasting
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and RAG for financial services
Mid-level Software Engineer specializing in cloud-native microservices and ML-driven automation
Junior Software Development Engineer specializing in ML, NLP, and data visualization
Mid-level AI Engineer specializing in Generative AI and LLM/RAG systems
Mid-level AI/ML Product & Solutions Specialist specializing in GenAI and MLOps
Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products