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Hi, I’m Adam Feldmann, a senior applied AI engineer with a PhD in clinical neuroscience and 15+ years across research, statistics, NLP, teaching and production-oriented AI systems. I build practical LLM/RAG products from messy real-world inputs: documents, internal knowledge, customer workflows, content operations and structured business data. My work spans corporate knowledge assistants, PDF-to-RAG ingestion, multi-brand content automation, agentic workflow systems and LLM serving optimisation. I focus on systems that are usable, measurable and reviewable—not just impressive demos. I design end-to-end pipelines with grounding, evaluation gates and auditable traces so teams can deploy, monitor and improve AI within real business contexts.…Hi, I’m Adam Feldmann, a senior applied AI engineer with a PhD in clinical neuroscience and 15+ years across research, statistics, NLP, teaching and production-oriented AI systems. I build practical LLM/RAG products from messy real-world inputs: documents, internal knowledge, customer workflows, content operations and structured business data. My work spans corporate knowledge assistants, PDF-to-RAG ingestion, multi-brand content automation, agentic workflow systems and LLM serving optimisation. I focus on systems that are usable, measurable and reviewable—not just impressive demos. I design end-to-end pipelines with grounding, evaluation gates and auditable traces so teams can deploy, monitor and improve AI within real business contexts.

Adam Feldmann

AI Engineer, Data Scientist, Front-End Developer, +2

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Hi, I’m Adam Feldmann, a senior applied AI engineer with a PhD in clinical neuroscience and 15+ years across research, statistics, NLP, teaching and production-oriented AI systems. I build practical LLM/RAG products from messy real-world inputs: documents, internal knowledge, customer workflows, content operations and structured business data. My work spans corporate knowledge assistants, PDF-to-RAG ingestion, multi-brand content automation, agentic workflow systems and LLM serving optimisation. I focus on systems that are usable, measurable and reviewable—not just impressive demos. I design end-to-end pipelines with grounding, evaluation gates and auditable traces so teams can deploy, monitor and improve AI within real business contexts.…Hi, I’m Adam Feldmann, a senior applied AI engineer with a PhD in clinical neuroscience and 15+ years across research, statistics, NLP, teaching and production-oriented AI systems. I build practical LLM/RAG products from messy real-world inputs: documents, internal knowledge, customer workflows, content operations and structured business data. My work spans corporate knowledge assistants, PDF-to-RAG ingestion, multi-brand content automation, agentic workflow systems and LLM serving optimisation. I focus on systems that are usable, measurable and reviewable—not just impressive demos. I design end-to-end pipelines with grounding, evaluation gates and auditable traces so teams can deploy, monitor and improve AI within real business contexts.

Available to hire

Hi, I’m Adam Feldmann, a senior applied AI engineer with a PhD in clinical neuroscience and 15+ years across research, statistics, NLP, teaching and production-oriented AI systems. I build practical LLM/RAG products from messy real-world inputs: documents, internal knowledge, customer workflows, content operations and structured business data. My work spans corporate knowledge assistants, PDF-to-RAG ingestion, multi-brand content automation, agentic workflow systems and LLM serving optimisation.

I focus on systems that are usable, measurable and reviewable—not just impressive demos. I design end-to-end pipelines with grounding, evaluation gates and auditable traces so teams can deploy, monitor and improve AI within real business contexts.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Hungarian

Fluent

English

Advanced

Spanish; Castilian

Beginner

Romanian, Moldavian, Moldovan

Beginner

Work Experience

Senior LLM & AI Infrastructure Consultant at Independent / EU Contractor

April 1, 2024 - Present

Deliver private/on-prem RAG systems for EU and US clients, build retrieval pipelines, evaluation sets and deployment-ready artifacts; design tool-using LLM workflows and integration with OpenAI-compatible services and workflow tools; create retrieval and ingestion pipelines and reviewable test sets; prototype fine-tuning, alignment and serving workflows.

Generative AI Lecturer & Research Group Lead at Obuda University - John von Neumann Faculty

April 1, 2022 - November 1, 2024

Led an applied Generative AI research group, translating current LLM capabilities into practical student and enterprise-facing material. Developed and taught Generative AI courses covering GPT-4, Claude, Llama and Mistral families, and coordinated curriculum integration.

Group Leader, Applied Data Science & AI at University of Pecs

November 1, 2019 - July 1, 2023

Led pretraining of HILANCO GPTX, a 6.7B-parameter English-Hungarian GPT-NeoX model; collaborated on a Hungarian BERT Large model trained on Azure; led medical AI projects combining applied ML, clinical context and stakeholder communication. Published an early prompt-engineering wiki in June 2022.

Assistant Professor - Medical Statistics & AI at University of Pecs Medical School

May 1, 2009 - November 1, 2019

Taught biostatistics, clinical trial methodology, voxel-based morphometry and MRI processing to medical students and clinical researchers; applied classical statistics and early machine learning to clinical neuroscience and diagnostic imaging datasets.