Hire the Best Data Scientists
in the Netherlands

Recent achievements: * Decreased memory footprint for the backend of a heavy medical app by almost 25%. * Improved accuracy of energy consumption forecasts by more than 30%. * Increased pattern reading speed for a new type of storage medium by more than 150x. Skills: * AI/Machine Learning (10+ years, top international banks / online merchants) * Computer Vision (14+ years, lots of medical imaging, many modalities) * Optimization algorithms, avoiding "combinatorial explosions" * Data analysis, cleansing, transformation (ETL), and processing * Python/Rust/SQL/Matlab/C++/C Education: * PhD in Computer Vision from TU Delft, The Netherlands * MSc in Artificial Intelligence and Graphic Systems from "Politehnica" Univ. of Bucharest, Romania Books I contributed to: * “Handbook of Image and Video Processing”, Academic Press (Elsevier), 2005 * “Coronary Radiology”, Springer, 2008 * “The Essential Guide to Video Processing”, Academic Press (Elsevier), 2009 I'm looking forward to working in challenging projects, especially in the Machine Learning, Computer Vision and Logistics/ERP areas.

🌟 𝐓𝐨𝐩 𝟑% 𝐔𝐩𝐰𝐨𝐫𝐤 𝐓𝐚𝐥𝐞𝐧𝐭 | 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐣𝐧𝐞𝐞𝐫 & 𝐀𝐈 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 | 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 🌟. Highly rated Machine Learning Engineer with 7+ years of experience specializing in AI/ML (Natural Language Processing (NLP), Computer Vision, Model deployment and lifecycle maintanance). I'm passionate about helping clients leverage the power of large language models and information retrieval systems to achieve their goals. Clients consistently praise my excellent communication skills and ability to understand their needs. I keep clients informed throughout projects using a combination of daily reports and step by step guidelines to ensure that all team members can work efficiently. This ensures transparency and fosters a collaborative work environment. I'm eager to discuss your AI/ML challenges and explore how I can help you unlock valuable insights from your data.

Data Scientist with expertise in machine learning models, AI research, scalable data pipeline, and data-driven solutions; developed a demand forecasting model achieving 91% accuracy. Proficient in diverse data science tools and techniques, including NLP, LLM, PySpark, and Azure ML Studio, CI/CD, and deploying ML solutions with end-to-end ownership research environments. Collaborated with clients to implement data-driven solutions that improved operational efficiency.

I am a data scientist who has experience working on data with respectful organizations. I have skills in NLP, ML, DL, data visualization and proficient in SPSS, Tableau, and Power BI. I have a MSc Applied Data Science from Utrecht University and diploma in big data and data science from Nile University, I am skilled in using Python libraries like Pandas and PySpark for data science tasks. I have successfully worked with big data, delivering valuable insights and implementing machine learning models. Let's collaborate to achieve your data-driven goals.

I architect and deploy production-grade AI systems — from LLM inference infrastructure to multi-agent workflows and RAG pipelines. My work spans the full stack: GPU cluster management, model deployment, agentic system design, and enterprise integration. WHO I WORK WITH Mid-to-large enterprises and funded startups who are past the "let's explore AI" phase. You have a real problem — high support volume, slow internal knowledge access, manual workflows — and you need an engineer who can take it from architecture through production deployment, not just an API wrapper. WHAT I SHIP • RAG systems — PDF/document/database-grounded assistants with hybrid retrieval, reranking, evaluation. LangChain, LlamaIndex, LangGraph, pgvector, Pinecone, Elasticsearch. • AI agents — production multi-agent systems with tool-use, function calling, MCP integration, stateful workflows. • Voice AI — Retell, Twilio, Vapi, ElevenLabs conversational pipelines. • Inference infrastructure — vLLM, SGLang, TGI, AWQ/FP8 quantization, multi-GPU orchestration on Kubernetes. • Full-stack delivery — FastAPI, Django, React/Next.js, Postgres, MongoDB, Redis. HOW I WORK I build systems that are modular, observable, and production-ready — not prototypes. Phoenix/OpenTelemetry instrumentation is in from day one. Every ship has latency, cost, and reliability budgets attached. Focus is always on measurable business impact, not vanity metrics. RECENT ENGAGEMENTS • Sovereign AI platform (1.4M+ users) — multi-provider LLM gateway on 4×A100 cluster with 130+ production agentic tools. • Two-sided clinical AI platform — multi-agent nutrition coaching with RAG over clinical knowledge bases, automating 100% of nutritionist workflows. • Top-5 global LLM education benchmark — raised accuracy 68% → 85% through context engineering. LET'S TALK IF You have a real, concrete use case. You are looking for a data scientist and a software engineer who delivers end to end solutions with clean docs and trust and reliability as a feature.

Please also see my blog: jiddualexander.com I'm a data scientist / analyst and an expert R programmer. I am strong with ggplot (ggplot2 data visualisation) and I am also a Shiny App developer. I can create custom dashboards for your data with intelligent analytics and interactive graphics. I program in R 6 days a week and I am very confident with all aspects of a data analysis project. I use mostly the very powerful packages created by Hadley Wickham (data import, cleaning and tidying (tidyr), manipulation (dplyr), visualisation (ggplot2) and reporting (Shiny)). The list of online certificates (below) is a good indication of the focus of my skills. To understand the power of these tools for creating dashboards I suggest you take a look at RStudio's Shiny gallery (shiny.rstudio.com/gallery/). I have participated in the Master R Developer Workshop by RStudio, thaught by no other than Hadley Wickham himself. My expert knowledge in R extends to high quality functional programming, package building, meta-programming and more. I have a Master Degree in Theoretical Physics from Sussex University (UK) and very strong understanding of analytics and machine learning, including neural networks (which I studied at Uni), support Vector machines, RandomForest, Principal Component Analysis (PCA) and much more. Including the tools to train machine learning models I also have a fundamental understanding and set of tools to apply the correct models for specific situations.