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Nigel v. AI, Web3 and Machine Learning Platforms

My name is Nigel v. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Python, JavaScript, Keras, TensorFlow, DevOps, etc.. I hold a degree in Bachelor's degree, Master of Science (MS), Bachelor's degree. Some of the notable projects I’ve worked on include: Trading Reinforcement Learning Algorithm, Tokenomics Planner, EU AI Act Compliance Checker, Adaptive Surrogate Ensemble Optimization for Hyperparameter Tuning, AI-Powered Procurement Platfrom, etc.. I am based in Almelo, Netherlands. I've successfully completed 9 projects while developing at Softaims.

I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.

Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.

I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.

Main technologies

  • AI, Web3 and Machine Learning Platforms

    2 years

  • Python

    1 Year

  • JavaScript

    1 Year

  • Keras

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Adyen

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Experience Highlights

Trading Reinforcement Learning Algorithm

Successfully consulted and executed a project implementing Thompson Sampling with Regime Switching for Bayesian spillover models. This included adapting an Rdata file for the Thompson Sampling algorithm, developing a regime-switching model for improved adaptability, and conducting simulations with visualizations, both with and without spillover effects. I also optimized a Jupyter Notebook with new data for thesis integration, enhancing computational efficiency and performance analysis.

Tokenomics Planner

TokePlanner is a web application for blockchain projects. It aids in planning and simulating tokenomics, including token distribution, market simulations, and KPI generation. You can create token distribution plans, simulate market conditions, and generate key metrics for your project. It supports various vesting schedules and stress testing capabilities. While the code is not open source, inquiries about usage can be made to the author and an advanced payed version has been made as well.

EU AI Act Compliance Checker

The EU AI Act Compliance Checker is a free, user-friendly tool designed to help businesses navigate the complexities of the European Union's Artificial Intelligence Act. Through an interactive questionnaire, the tool generates an instant compliance score and offers tailored recommendations for improvement. ARQNXS is committed to empowering businesses to develop and deploy AI responsibly.

Adaptive Surrogate Ensemble Optimization for Hyperparameter Tuning

Hyperparameter optimization significantly impacts machine learning model performance. We introduce the Adaptive Surrogate Ensemble (ASE) method and compare it to Random Search (RS). Experiments on Digits and Breast Cancer datasets show that ASE outperforms RS in stability and convergence, with a 15% improvement in average accuracy and a 30% reduction in variance. We provide a rigorous mathematical framework for ASE. Our findings advance AutoML and highlight potential for future research in hyperparameter optimization.

AI-Powered Procurement Platfrom

At ARQNXS, I developed an AI-powered procurement platform revolutionizing tender searches. The web app features an interactive map of global tenders, with 60+ AI filters boosting efficiency by 800%. It integrates 22+ data sources for comprehensive coverage. Key features: automated RFP generation, Azure O2Auth login, Elastic Search Cloud integration, advanced mapping (including NORAD tracking), AI-driven content suggestions, and Trello/Monday.com integration. This solution enhances procurement processes with unparalleled efficiency and insights for navigating global tenders.

Education

  • Vrije Universiteit

    Bachelor's degree in Psychology

    2013-01-01-2016-01-01

  • Vrije Univesiteit

    Master of Science (MS) in Neuroscience

    2016-01-01-2017-01-01

  • Vrije Universiteit

    Bachelor's degree in

Languages

  • English
  • Spanish
  • Dutch

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