Vetted AI & Machine Learning Professionals in the DMV

Pre-screened and vetted in the DMV.

PK

Intern Machine Learning Engineer specializing in healthcare, cybersecurity, and recommender systems

Rockville, MD5y exp
Technuf LLCUniversity of Maryland, Baltimore County
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BS

Principal Engineer specializing in aerospace, defense, and embedded systems

Herndon, VA19y exp
Advanced Simulation Technologies Inc.George Washington University
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DK

Mid-level AI/ML Engineer & Data Scientist specializing in NLP and production ML

Baltimore, MD4y exp
PNCUniversity of Maryland, Baltimore County
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SN

Mid-level AI/ML Engineer specializing in predictive modeling and NLP for healthcare and FinTech

Fairfax, Virginia5y exp
InovaGeorge Mason University
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AK

Mid-level AI Engineer specializing in Generative AI and RAG systems

College Park, US4y exp
University of MarylandUniversity of Maryland, Robert H. Smith School of Business
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BD

Senior Data Scientist / AI-ML Engineer specializing in LLMs, NLP, and MLOps

Washington, DC22y exp
Hanover ResearchUniversity of Pittsburgh
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Aneri Patel - Junior Machine Learning Engineer specializing in LLM fine-tuning and semantic retrieval in Washington, D.C.

Aneri Patel

Screened

Junior Machine Learning Engineer specializing in LLM fine-tuning and semantic retrieval

Washington, D.C.2y exp
Enquire AI, Inc.George Washington University

Backend engineer with legal-tech and AI workflow experience: built JurisAI, an end-to-end legal research system using OCR + embeddings + Pinecone vector search to deliver citation-grounded LLM answers with safe failure modes (~90% recall@K). Also led a GW Law metadata migration into Caspio with batch validation and parallel rollout, and has strong FastAPI/GCP production reliability and observability practices.

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TS

Junior Systems/Backend Software Engineer specializing in distributed systems and low-latency pipelines

College Park, MD2y exp
University of MarylandUniversity of Maryland, College Park
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MJ

Senior Machine Learning Scientist specializing in forecasting, optimization, and agentic LLM systems

Washington, DC11y exp
Pendulum SystemsPolytechnic University of Catalonia (UPC)
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SP

Mid-level AI Engineer specializing in NLP, LLM fine-tuning, and RAG systems

Maryland, US6y exp
4A ConsultingGeorge Mason University
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NJ

Senior AI/ML Engineer specializing in Generative AI and LLMOps

Washington, DC10y exp
Clarion Tech
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DK

DhanushKautilya Kammaripalle

Screened ReferencesStrong rec.

Junior AI Integration Engineer specializing in LLM agents and RAG on cloud platforms

Fairfax, VA2y exp
Virtual Labs Inc.George Mason University

Built and deployed LLM-powered features for a startup organizational management application, focusing on real-world deployment constraints like latency and cost. Implemented RAG with FAISS and improved retrieval quality by switching embedding models (OpenAI/Hugging Face) and fine-tuning embeddings on medical corpora for a medical-report UI feature. Uses LangChain and LangGraph to orchestrate multi-node LLM API workflows and evaluates systems with metrics like latency, cost per request, and error taxonomy.

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BT

Junior Machine Learning Engineer specializing in LLMs and conversational AI

Maryland, USA2y exp
University of Maryland, BaltimoreUniversity of Maryland, Baltimore County
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SC

Mid-Level Machine Learning Engineer specializing in NLP and Generative AI

Herndon, Virginia4y exp
ZolonTechIndiana University
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RH

Junior Machine Learning Engineer specializing in computer vision for robotics perception

Rockville, Maryland2y exp
Temple Allen IndustriesUniversity at Buffalo
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AB

Mid-level Full-Stack AI Developer specializing in LLM-powered web platforms

Leesburg, VA4y exp
Techathon IncGeorge Mason University
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EM

Junior Software Engineer specializing in full-stack, systems, and AI development

Chantilly, Virginia2y exp
Data Annotation TechGeorge Mason University
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CK

Entry-Level AI Engineer specializing in NLP and LLM-powered applications

Fairfax, VA1y exp
George Mason UniversityGeorge Mason University

AI engineer who built an agentic, production-deployed LLM workflow for tobacco violation parsing and automated multi-case creation, using six specialized agents and a human-in-the-loop confidence-threshold routing design. Addressed data privacy constraints by generating synthetic datasets with LLM prompting, and orchestrated reproducible end-to-end pipelines in LangChain with robust testing and evaluation (precision/recall, micro-F1).

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JB

Junior AI/LLM Engineer specializing in voice agents, RAG, and robotics systems

Ellicott City, MD2y exp
GenaivaWest Virginia University
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JP

Intern AI/ML Engineer specializing in MLOps and anomaly detection

Baltimore, MD0y exp
VisioneerITHofstra University
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