Industry — AcademicTransfer. I lead AI and data-science work across CV–vacancy matching and ranking, LLM content optimisation, recruiter analytics, and end-to-end ML tooling for the two-sided Dutch academic-jobs marketplace (22 research universities and university medical centres).

Research — Utrecht University. My doctoral thesis develops explainable NLP across the full LLM life cycle, from token-level SHAP analysis to cross-cultural moral-alignment evaluation of LLMs. Recent work centers on LLM evaluation: LLM-as-judge frameworks (EvalMORAAL) and multi-agent preference optimization (BehAv-PO).

I work where engineering rigor meets explainability research — shipping models that deliver in production and expose why they make each decision.

Utrecht University, 2026

A six-chapter empirical thesis on explainability across the full LLM life cycle: a survey of XAI for NLP, a transparent BERT pipeline for online sexism detection, SHAP-driven probing of AI-text-detector robustness, content-vs-demographic explanations for LLM annotators, cross-cultural moral-alignment evaluation of 26 LLMs against the World Values Survey and PEW, and the EvalMORAAL chain-of-thought-plus-LLM-as-judge framework benchmarking 20 LLMs across 64 countries.

Each chapter has a paper and a public companion repository with citation metadata and a tagged release.

Full publication list on mohammadi.cv and Google Scholar.

LLM and ML systems serving the Dutch academic job market, end to end: data pipelines, model serving, monitoring, and recruiter-facing tools.

• Semantic CV-to-vacancy matching and LLM-assisted priority ranking of applicants, evaluated with A/B tests, uplift analysis, and bandit simulations
• LLM-based job-description optimisation and vacancy-text rewriting (OpenAI API)
• Recruiter analytics and model-monitoring dashboards
• CRM and workflow automation for recruitment teams

Internal repositories at @academictransfer (private; access on request):

As Head of Data Science & BI I built the operations-intelligence layer for a city-scale bike-sharing fleet: bicycle-transportation-intelligence — a Streamlit dashboard on live Oracle fleet data, with GeoPandas geofencing and H3 spatial indexing plus folium maps to plan rebalancing and collection.

Earlier: Senior Data Scientist at SnowaTec (2021–2023) — details on mohammadi.cv.

• modern-ai-engineering — field notes on production LLM systems: structured outputs, RAG, agents and MCP, LoRA/DPO/GRPO, LLM-as-judge evaluation, and serving with vLLM.
• spark-search-ranking — counterfactual learning-to-rank for marketplace search logs in PySpark: position-bias estimation, IPS-weighted training, NDCG evaluation with a full test suite.
• dynamic-pricing-dashboard — interactive dynamic-pricing simulator: demand learning with Thompson sampling, forward-looking customers, and advertising effects, running fully in the browser via WebAssembly (live demo).
• ml-summer-schools-europe — practical guide to European ML summer schools: deadlines, funding, and application tips from four attended schools.
• ml-learning-paths — the best ML courses organized into five career paths (ML scientist, ML engineer, LLM engineer, data engineer, data scientist), each ordered and argued.
• ai-masters-netherlands — every AI and data science master's programme at Dutch research universities, with admissions, costs, and how to choose.
• awesome-explainable-nlp — curated list of 145 papers, tools, datasets, tutorials, and venues on explainability for NLP and LLMs, with weekly automated link checking. Contributions welcome.
• better-than-bing — dense retrieval on the BEIR FiQA benchmark with Pyserini, sentence-transformer embeddings, and a FAISS HNSW index.
• BehAv-PO — behavioral cluster-driven multi-agent preference optimization (SFT / DPO / GRPO) for sexism detection on EXIST 2024.
• Recommendation-System-Using-Autoencoders — movie recommendation with autoencoders on the MovieLens 1M dataset.
• Exist-2023 — EXIST 2023 shared-task experiments, archived on Zenodo (10.5281/zenodo.8144300).
• FBB Sustainability Analysis — environmental-impact analysis CLI on a Dutch firm panel.

More — from fraud detection to retrieval and time-series forecasting — in the repositories tab.

Open to applied AI roles and consulting in NL / EU, and to research collaboration on explainability, LLM evaluation, and cultural alignment.

mohammadi.cv · LinkedIn · ORCID · hadi.mohammadi@outlook.com