AI-Portfolio

AI Certificates, hackathons, projects, publications and more. All gathered in one AI Portfolio Github repo.

Certificates & Degrees

Microsoft Certified: Azure AI Engineer Associate

Microsoft Certified: Azure AI Engineer Associate

  • Issued by Microsoft on August 7, 2024
  • Online Verification: Kindly click here

Skills:

Microsoft Azure Cloud | Text Analytics | Vision AI | Video Indexing | AI Search | Document Intelligence | Generative AI | Responsible AI | Diagnostics

AI for Health Care - Udacity Nanodegree

Build, evaluate, and integrate predictive models that have the power to transform patient outcomes.

Udacity Nanodegree: AI for Healthcare

  • Issued by Udacity on January 2022
  • Online Verification: Kindly click here

Skills:

Tensor Flow | PyTorch | 2D Medical Imaging Classification | 3D Medical Imaging Segmentation | AI n EHR Data | Wearable Device

Sub-projects:

  • AI in 2D Medical Imaging Classification (Pneumonia Detection). Github repo.
  • AI in 3D Medical Imaging Segmentation (Hippocampus Quantification for Early Alzheimer's Prediction). Github repo.
  • AI in EHR Data (Patient Selection for Trials). Github repo.
  • AI in Wearable Device Data (Pulse Rate Estimation Correction) & Signal Processing. Github repo.

Hacathons

Q-Summit 2024 Hackathon, Germany - Winner Team (1st Place)

Happy to be a member of the winner team (1st place) at the hackathon of Q-Summit 2024, Germany’s most important conference for entrepreneurship and innovation! ✌️🥳🥳
We had 2 days full of fun, creativity and networking with great leaders, brilliant minds and very nice participants.
Project: GenAI (Generative Artificial Intelligece)-Based Study Assistant App using OpenAI API, Azure Cloud & Streamlit.

Q-Summit 2024 , Hackathon, Mannheim Germany

Skills:

OpenAI | LangChain | Azure: Cloud, Store, CLI, AI Search | Streamlit | WebRTC

Repo & Demo Video:

Github Repo Link.

AI 4 Life Sciences 2nd Edition - Currently Running -

"AI for Life Sciences is a recurring challenge series aimed at connecting AI enthusiasts and practitioners with organizations who would like to explore how to apply AI to use cases and domains across the broad domain of life sciences. Possible research domains including biology, genetics, ecology, microbiology, physiology, cell biology, botany – and more – fields which comprise the diverse branches of science commonly referred to as life sciences." (AI4LS Homepage)

  • Project: Using AI Timeseries Forecast to Predict Ground Water Levels for ~450 Geographical Points in Austria between 2022 and 2024.
  • Partners (2024):

AI4LS Partners 2024

Github Repo: Available upon final submission..

Skills:

Data Analysis | SARIMAX | XGBoost | TensorFlow | 4D-Arrays | Visualization

Projects

Master Thesis Project:

Analyze Covid-19 patients’ big data (~1M features) to study correlation with disease severity and prognosis. Computation done on the faculty cluster.

Skills:

Kanban | TDD | Docker | Visualization | XGBoost | Lasso | RF | Documentation

Thesis as PDF:

Kindly click here.

Robus:

Robus

An AI for IoT project implemented as an Alexa Smart Skill on top of Azure Cloud In addition to keep my skills up-to-date, this project is aimed to be a fun project to create a tool that helps me catch the bus on time and even buy me a ticket online automatically 😉

Skills:

Alexa Smart Skill | OpenCV | Azure | Azure AI Services | Azure Vision Studio | OAuth2 | Azure Entra ID | Azure Functions | Azure Storage Account | Azure Blob Storage | Azure SQL Database

Repo & Source Code:

Github Repo Link.

RW-Buddy:

RW-Buddy

An AI Agent That Brings Joy Back Into Remote-Workers Life by suggesting a daily plan that contains places to visit for working and having fun.

Skills:

Google Places API | GPT 3.5 Turbo (Chat Purpose) | Frontalface Cascade Classifier | Local Binary Patterns Histogram (LBPH) Face Recognizer | Streamlit Web App

Repo & Source Code:

Github Repo Link.

Demo Video:

Kindly click here for a Youtube video demo ▶️ of the app 😊.

AI Publications

miRMaster 2.0: multi-species non-coding RNA sequencing analyses at scale

  • Authors: Tobias Fehlmann, Fabian Kern, Omar Laham, Christina Backes, Jeffrey Solomon, Pascal Hirsch, Carsten Volz, Rolf Müller, Andreas Keller
  • Link: Kindly click here.
  • ML part: miRNA prediction