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Hi there 👋

About me

I am a self-motivated, goal-driven, and passionate MultiCloud DevOps Engineer. That might sound overwhelming😅, trust me, I know!🫣. However, I hope to shed light on that over the following few lines of this write-up🤗).

🏃‍♂️ I am currently pursuing a doctoral degree at the Faculty of Computer Science of the University of Vienna. I am researching at the intersection of Machine Learning, Statistics (Causal Inference), Signal processing, and Neuroscience

👩‍🎓 My background is in Mechanical Engineering (Bachelor) and Biomedical Engineering (Masters). I am very passionate about information technology (IT), Machine Learning (ML) and Artificial Intelligence (AI). I am comfortable handling tasks alone and equally effective in team(s). I learn best via challenges. I have an eye for detail and enjoy problem-solving using proven solutions to real-life problems. Adapts and excels with challenges and changes, as apparent from my career path, and have chosen to explore the world of IT (DevOps) after some years in research. When not working or learning,

I enjoy playing and watching football (soccer), cooking new recipes, cycling, and many more. This passion drives me daily as I constantly strive to be the best at what I do through continuous learning.

Research Interests:

  • Causal Inference 🅰️ ➡️ 🅱️ but 🅱️❗️➡️ 🅰️
  • Machine and Reinforcement learning (AI) 👨‍💻💻👾
  • Biomedical engineering 🩺💀🔧🪛⚕️

Manufacturing and Fabrications

  • Additive: 3D Modelling and 3D Printing 3️⃣D 🖨
  • Machining: Turning, drilling, cutting
  • Arc Welding 🥽🛠

Hobbies

  • Football (Soccer)⚽️, BasketBall, Cycling🚵‍♂️, Swimming🏊‍♀️, Automation🏧👾

On-going activities and projects

My current projects include;

  • Causal structure Learning algorithm for time series datasets
  • Denoising calcium imaging data with Independent Component Analysis

🌱 I’m currently learning DevOps Engineering and Deep Reinforcement Learning.

Please take your time to go through my work, and I will be happy to take any suggestions and collaborate on any common interests we both might have. I hope you enjoy your time looking through my work🤗

Thank you as you visit again for updates!

Sadiq :)

Sadiq A. ADEDAYO's Projects

adventuregame icon adventuregame

An adventure game implemented in Python for the AccessBank-Udacity nanodegree prrogram

best_ai_papers_2022 icon best_ai_papers_2022

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

causaldag icon causaldag

Python package for the creation, manipulation, and learning of Causal DAGs

causaldiscoverytoolbox icon causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causalgnn icon causalgnn

Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"

cond_mutual_information icon cond_mutual_information

This python code estimates conditional mutual information (CMI) and mutual information (MI) for discrete and/or continuous variables using a nearest neighbors approach.

config icon config

Config files for my GitHub profile.

deeplabcut icon deeplabcut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

devops-exercises icon devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

devopsstartercode icon devopsstartercode

This repo contains the starter materials for projects from the Udacity Azure Cloud DevOps Nanodegree Program.

geometric-gnn-dojo icon geometric-gnn-dojo

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.

hh-model icon hh-model

My efforts to implement Hodgkin Huxley's model

hsic icon hsic

Python code of Hilbert-Schmidt Independence Criterion

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