Open for Research Collaboration

Ebenezer Gelo

Engineer, AI Researcher, Solopreneur and a coffee-fueled code conjurer. I love building things and helping people.

Python
Java
C/C++
Scala
Julia
JavaScript
SQL
PyTorch
TensorFlow
Scikit-learn
MySQL
Python
Java
C/C++
Scala
Julia
JavaScript
SQL
PyTorch
TensorFlow
Scikit-learn
MySQL
Python
Java
C/C++
Scala
Julia
JavaScript
SQL
PyTorch
TensorFlow
Scikit-learn
MySQL
Python
Java
C/C++
Scala
Julia
JavaScript
SQL
PyTorch
TensorFlow
Scikit-learn
MySQL
MongoDB
Firebase
Git
GitHub
Docker
Kubernetes
MLFlow
Data Version Control (DVC)
AWS SageMaker
GCP Vertex AI
Kubeflow
MongoDB
Firebase
Git
GitHub
Docker
Kubernetes
MLFlow
Data Version Control (DVC)
AWS SageMaker
GCP Vertex AI
Kubeflow
MongoDB
Firebase
Git
GitHub
Docker
Kubernetes
MLFlow
Data Version Control (DVC)
AWS SageMaker
GCP Vertex AI
Kubeflow
MongoDB
Firebase
Git
GitHub
Docker
Kubernetes
MLFlow
Data Version Control (DVC)
AWS SageMaker
GCP Vertex AI
Kubeflow

GitHub Activity

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About

Growing up in Hawassa, Ethiopia, my passion for gaming sparked an early fascination with technology, which has since evolved into a focused interest in AI. Currently, I am part of the RAIL Lab, where I focus on safe reinforcement learning, aiming to contribute positively to advancements in the field and the intersection of technology and society.

Updates

Experience

  • P

    PYGIO

    Data Scientist

    Working on end-to-end data solutions with a strong focus on data analysis, while also contributing to AI-driven projects where needed.
  • R

    RAIL Lab

    Graduate Student

    Conducting research at the RAIL Lab (Wits University) focused on safe decision-making in AI agents, with an emphasis on offline RL and feedback-driven behavioral shaping.
  • E

    EPFL

    Research Intern

    Selected to the highly competitive Summer@EPFL program (1.3% acceptance rate) and worked under the supervision of Prof. Mary-Anne Hartley at EPFL’s LiGHT Lab, exploring prognosis modeling for macroscopic HCC.
  • D

    Data-Led Insights

    Intern

    Intern embedded within Breaze Delivery (quick-commerce). Developed and maintained live KPI dashboards.

Education

Projects

Inferring Prognosis for Macroscopic Hepatocellular Carcinoma

Inferring Prognosis for Macroscopic Hepatocellular Carcinoma

Healthcare
Deep Learning
Multi-modal ML

Using multi-modal deep learning to predict disease progression in Hepatocellular Carcinoma (HCC) patients by integrating clinical data and medical imaging.

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Redistribution-based Cost Inference for Safe Offline RL

Redistribution-based Cost Inference for Safe Offline RL

Offline RL
RLHF
Safe AI
+1

Integrating expert feedback into offline RL to enhance decision-making in safety-critical environments while minimizing risks associated with live trials.

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Learning World Value Functions(WVFs) without Exploration

Learning World Value Functions(WVFs) without Exploration

Offline RL
Deep Learning
Goal-oriented RL

Exploring how offline RL algorithms learn goal-oriented representations - World Value Functions (WVF), emphasizing the importance of dataset size and diversity.

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Blog

Safe AI: Ensuring Robustness and Reliability in AI Systems

3 mins read
ai
safety
ethics

Addressing concerns about AI safety, reliability, and bias for a more trustworthy future with AI technology...

Knowledge Transfer in AI: Importance and Techniques

3 mins read
ai
transfer learning
ml

Learn how knowledge transfer makes AI models more adaptable, enabling them to tackle new tasks and domains effectively...

Explainable AI (XAI): Making Models Transparent

3 mins read
ai
xai
ethics

Explainable AI (XAI) helps us understand how AI models make decisions, promoting trust, fairness, and responsible use of AI technology...

Offline RL: An Introduction and Current Challenges

4 mins read
reinforcement learning
offline rl
ml

Learn how Offline RL tackles challenges to train intelligent decision-makers from existing data, even when live experimentation is impossible...