Experience
Senior ML/AI practitioner with six-plus years in industry, from data scientist to Senior AI & Data Science Expert — building production LLM systems with measurable impact.
Professional experience
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Dec 2025 – Present
Senior AI & Data Science Expert
AcademicTransfer, Utrecht, Netherlands
- Technical lead of the AI intelligence layer and applicant-tracking system for AcademicTransfer, used by 22 Dutch research universities and university medical centres: CV creation and revision, semantic search, talent-pool matching, and best-candidate identification.
- Technical lead of a recognition-and-rewards policy analysis with Dr. Sanli Faez (Universiteiten van Nederland) and university policy makers across the Netherlands.
- Developing a new e-learning programme with the University of Amsterdam for PhD candidates and researchers.
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Jan 2024 – Dec 2025
AI & Data Science Expert
AcademicTransfer, Utrecht, Netherlands
- Developed the CV Priority Sorter using active learning and LLMs, reducing HR hiring time by 20%.
- Built end-to-end generative AI pipelines that process 10,000+ applications per month.
- Improved candidate–job alignment accuracy by 17% and halved manual effort.
- Deployed transformer-based models on Azure ML with MLflow, Docker, and CI/CD; used A/B tests, uplift analysis, and bandit simulations to evaluate ranking and recommendation models.
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Feb 2024 – Mar 2024
Researcher & NLP Developer
Utrecht University School of Economics — FIRMBACKBONE project
- Developed the fbb-sustainability-analysis-cli tool for sustainability content analysis.
- Created a keyword extractor and index generator for sustainability scoring of company websites.
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Dec 2021 – Jan 2023
Senior Data Scientist, Customer Behavior
SnowaTec (Innovation Center), Entekhab Electronic, Tehran, Iran
- Managed the enterprise data warehouse with modern ETL tooling, improving data accessibility by 16%.
- Implemented ML-based customer segmentation, boosting marketing impact by 7.5%.
- Defined KPIs and a customer satisfaction index that lifted satisfaction by 2%.
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Apr 2020 – Oct 2020
Head of Data Science & BI Team
Bdood.bikes (shared bicycle system), Tehran, Iran
- Implemented dynamic pricing and ML-based usage predictions, increasing revenue by 5%.
- Optimized fleet intelligence, cutting maintenance costs by 8% and relocation costs by 3%.
- Led user-behavior analyses that improved customer retention by 4.5%.
- Built dashboards with Power BI, Streamlit, and Dash Plotly, boosting engagement by 3%, efficiency by 7%, and station space utilisation by 11%.
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Jul 2019 – Apr 2020
Data Scientist
Bdood.bikes (shared bicycle system), Tehran, Iran
- Led predictive-maintenance analysis and battery-health algorithm development, reducing downtime by 3.8%.
- Applied GIS models to identify high-risk riders, enhancing safety by 3% and user experience by 5%.
- Delivered marketing and business analytics that contributed to a 6% rise in revenue.
Education
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Feb 2023 – 2026
PhD, Explainable Natural Language Processing
Utrecht University
- Department of Methodology & Statistics; member of the NLTP group and the HDS Lab during the PhD.
- Thesis: Let Me Explain! — Explainable NLP for Understanding Large Language Models.
- Supervisors: Dr. Robert A. Bagheri, Dr. Anastasia Giachanou, Prof. Dr. Daniel Oberski.
- Secured over €40,000 in research funding across multiple grants.
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Sep 2018 – Apr 2021
MSc, Industrial Engineering — Macro Systems
University of Tehran, Tehran, Iran
- GPA 18.96/20 (4.0/4.0); ranked 2nd among 50+ graduate students.
- Thesis: dynamic pricing with demand learning using reinforcement learning in a non-stationary environment.
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Sep 2011 – Jul 2016
BSc Mechanical Engineering
Isfahan University of Technology, Golpayegan College of Engineering
Technical skills
- Python
- PyTorch
- TensorFlow / Keras
- Hugging Face Transformers
- scikit-learn
- LangChain / LlamaIndex
- LLM fine-tuning (PEFT, LoRA)
- BERT / RoBERTa / GPT models
- Prompt engineering
- RAG · agents · MCP
- LLM-as-judge evaluation
- SQL / PostgreSQL
- Azure ML · MLflow
- Docker · CI/CD
- Git / GitHub
- Flask / FastAPI
- Pandas / NumPy
- Power BI
- Streamlit
- A/B testing · uplift · bandits
- Bayesian statistics
- Reinforcement learning
Professional development
- Jun 2024 Generative Modeling Summer School — Eindhoven University of Technology, Netherlands. Deep generative modeling techniques.
- May–Jul 2023 Machine Learning Summer School — University of Oxford, UK. Specialization in finance and NLP/health applications.
- Aug 2022 Explainable AI Summer School (XAISS) — TU Delft, Netherlands. Scholarship recipient; post-hoc interpretability in machine learning.
- 2021–2022 Executive Master in Finance (EMFin) — Sharif University of Technology. One-year comprehensive finance program, Nov 2021 – Nov 2022.
- 2021 Lead Teaching Assistant, Deep Learning — Neuromatch Academy.
Open to opportunities
I am exploring senior ML engineer, senior data scientist, and AI developer roles where I can:
- Build production LLM and NLP systems at scale
- Lead ML projects from research to deployment
- Apply explainable AI to real-world problems
- Bridge research insights with engineering excellence
Netherlands (EU work authorization) · open to relocation
References available on request.