Machine Learning Engineer

Markos Muche

Machine Learning Engineer

Machine Learning Engineer with more than four years of expertise in research, development and deployment deep learning models for real-world applications. Skilled in computer vision, natural language processing, and data science, with proficiency in TensorFlow and PyTorch. Experienced in collaborating with teams to bring models to production on cloud platforms like AWS, GCP, and Azure. Looking to leverage my skills and experience to solve challenging problems in a dynamic team environment. Addis Ababa

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linkedin.com/in/markosmuche

github.com/markosmuche

EXPERIENCE

iCardio, Los Angeles, CA — Machine Learning Engineer March 2022 - PRESENT

● Extensively used deep learning frameworks like TensorFlow and PyTorch to develop state-of-the-art ML models like transformers, CNNs, and custom video-tailored models from research papers

● Implemented machine learning models, increasing the AUROC from the previous binary classification model by up to 10% for some of the diseases

● Collaborated with the senior Machine Learning Engineer to Develop and maintain a data processing to model training pipeline using ClearML and GCP

● Performed model training on a lot of data and different architectures

● Collaborated with backend engineers to deploy machine learning models and Python APIs on AWS and GCP using Kubernetes

SingularityNet, Amsterdam, Netherlands — Machine Learning Engineer May 2021 - August 2022

● Developed and deployed the reputation system API on AWS. worked collaboratively with the team

● By starting with a couple of research papers from the singularityNet, I converted Python code from the research papers into a REST API using the Django REST framework and collaborated with the authors and coauthors of the research papers to develop and implement machine learning simulations. (Reference Paper: https://arxiv.org/abs/1806.07342)

Upwork — Machine Learning Engineer, Backend Engineer and Devops August 2020 - Present

● Freelanced on various machine learning and backend projects, consistently receiving high ratings and repeat business.

● Examples: End to end OCR system deployed on GCP and another deployed on Azure using OCR tool and LLM; GAN for cleaning noisy complex time series signals

EDUCATION

Addis Ababa Science and Technology University, Addis Ababa Degree BSc in Electromechanical Engineering

September 2015 - January 2021

PROJECTS

OpenStreet Stock Trading Algorithm

● Developed a stock trading application using reinforcement learning based on research papers.

● Implemented algorithms such as PPO, A2C, TRPO, and DDPG using Python and frameworks like OpenAI Gym and Stable Baselines.

● Collaborated with expert stock traders to create a realistic trading environment SKILLS

Programming Languages: Python

(Tensorflow, Keras, Pytorch, Django,

transformers/HuggingFace), Java, SQL,

C++, Bash

Machine Learning Tools: VertexAI,

Jupyter Notebooks, Pandas, Matplotlib,

scikit-learn, MLlib, NLTK

Data Management: Beam, TFX,

BigQuery, CloudSQL, BigTable

DevOps & Deployment: Docker,

Kubernetes, GitHub Actions, GCP

Services (GCE, GKE, Cloud Run), AWS

Services (EC2, S3, EMR), Git, Terraform

PUBLICATIONS

● Detection Of Mitral And Tricuspid

Regurgitation From Bmode Dicoms

Using Artificial Intelligence (2024)

● Reproduction of Full Echocardiographic

Report using Machine Learning from

Large-scale Echocardiogram Database

(2023)

● Methods, Systems, Apparatuses,

And Devices For Facilitating A

Diagnosis Of Pathologies Using A

Machine Learning Model (2024),

Patent

● AI-Based Diagnosis of Aortic

Stenosis in B-Mode Imagery:

P3-16 (2024)

CERTIFICATIONS

● HashiCorp Certified: Terraform

Associate (003) (2025)

● Google Cloud Certified –

Professional Machine Learning

Engineer(2024)

● Google Cloud Certified –

Professional Data Engineer (2024)

● Google Cloud Certified

Professional Cloud Architect

(2024

● Microsoft Certified – Azure Data

Scientist Associate(2021)

● Microsoft Certified – Azure

Fundamentals(2021)

● Coursera Certified – Custom

Models, Layers, and Loss

Functions(2020)

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