Professional work
MLOps & Model Deployment
Automation that took recommendation, chatbot and RAG models from training to production across cloud and containerised environments.
- role
- MLOps Engineer
- org
- PrediQt
- when
- 2023 – 2024
PythonDockerKubernetesFastAPIDjangoFlutterPostgreSQL
01
Overview
At PrediQt I sat between the data scientists and production: deploying and managing their models, and building the Flutter + Django apps that put those models in front of users.
02
Architecture
- 01
Model training
Data science & ML engineering
- 02
Package & version
Automated workflows
- 03
Deploy
CI/CD to cloud and containers
- 04
Monitor
Models and infrastructure
- 05
Apps
Flutter + Django: recommendations, chatbots, RAG
03
What I built
- Automation for model packaging, versioning, deployment, monitoring and infrastructure management
- Scalable cloud infrastructure and CI/CD workflows for ML deployments
- Full-stack Flutter, GetX and Django apps for recommendation systems, chatbots and RAG