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πŸ‘‹πŸ½ Hi, I’m indamutsa

πŸ‘€Research Engineer | Championing Innovative, Robust, and Scalable Solutions for Complex Problems

With over eight years of expertise in software and data engineering, cloud computing, machine learning, model-driven engineering, and robotics, I strove to apply diverse research methodologies to pinpoint and address inefficiencies. My approach focuses on devising strategic solutions that significantly boost business value and success.

Expertise Fields:

  • Software Engineering
  • Data Engineering
  • Machine Learning
  • DevOps
  • Model-driven Engineering
  • Computer vision & Robotics

Reach me by email: [email protected]

indamutsa's Projects

advanced-query icon advanced-query

This project is a comprehensive cloud-based repository designed for managing model artifacts with precision. It enables advanced query functionalities through the robust MDEForge Query engine, offering unparalleled search capabilities.

argo-rollout-canary-istio-flagger icon argo-rollout-canary-istio-flagger

This repository contains resources and manifests to set up a canary deployment strategy using ArgoCD, Istio, and Flagger. It demonstrates the end-to-end process of deploying a sample application (BookInfo) in a Kubernetes cluster, managing its lifecycle via GitOps, and implementing advanced traffic management strategies.

argocdrollouts icon argocdrollouts

Argo Rollouts is a Kubernetes controller that provides advanced deployment strategies such as blue-green, canary, and progressive delivery. It allows for controlled and gradual rollouts, automated performance monitoring, and experimentation, enhancing the speed and safety of continuous delivery in a Kubernetes environment.

de-crash-course icon de-crash-course

This is a crash course on data engineering. It is intended to be a quick introduction to the field of data engineering. It is not intended to be comprehensive, but rather to provide a high-level overview of the field and its key concepts.

de-realtime-data-streaming icon de-realtime-data-streaming

This project outlines a robust real-time data streaming architecture that integrates a suite of open-source technologies for efficient data ingestion, processing, and analytics. The system's design allows for handling large volumes of data with high throughput and low latency, ensuring scalability and resilience.

de-spark-refresher icon de-spark-refresher

This project takes you through important aspects in spark to get you refreshed or started...

de-spotify-project icon de-spotify-project

This project implements a cloud-based data warehousing solution using AWS services to ingest, transform, and visualize data.

de-trafficbigdata icon de-trafficbigdata

In this data engineering project, we will be working with traffic data from the city of Seattle. The data is dummy, hence generated but with close to the reality data found and generated in smart cities.

elk-mongo-sync icon elk-mongo-sync

Elasticsearch and mongodb in real-time sync for different purposes...

fastapi-auth icon fastapi-auth

This project is a FastAPI application that implements an authentication system using JWT (JSON Web Tokens). The application uses Pydantic for data validation and OAuth2 with password flow for securing the API.

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