I'm a passionate MLOps & DevOps engineer with a focus on building scalable and efficient systems. I love working with cutting-edge technologies and solving complex problems.
- Working on a hybrid multi-cloud architecture with GCP and AWS, leveraging GPUs and advanced networking for machine learning workloads.
- Automating the deployment and monitoring of Kubernetes clusters and infrastructure using Terraform, Ansible, Helmfile.
- Exploring new AI/ML technologies and tools for scaling training and inference pipelines.
- ml-helmfiles: Simplified ML training/inference demonstration using Minikube and Helmfiles.
- dokkery: Docker registry event handler for CI/CD.
- terraform-vpc-network: Terraform VPC networking for site-to-site VPN.
- terraform-fluentd-aggregator: Terraform-managed Fluentd aggregator on AWS Fargate.
- efk-swarm: EFK (Elasticsearch, FluentBit, Fluentd, Kibana) stack with Docker Composer
- k8s-labs-2019: Just another Kubernetes Playground (kafka, istio, cosmos, mongo rs, tekton, openvpn - Archived)
- xdump: Daily packet capturing written in Rust.
- airflow-boilerplate: Alpine-based Airflow boilerplate.
- kafka-learning: Go from zero to hero in Kafka.
- MySync: A MySQL schema synchronization utility (Added stored
- AIND-Isolation: Udacity AI nanodegree project.
- AIND-Sudoku: Udacity artificial intelligence nanodegree project
- deep-learning-from-scratch: A brief book summary on deep learning.
- koa-rest-api-docs: Terraform managed Koa RESTful API template for auto-documentations
- falcon-rest-api: Falcon REST API with PostgreSQL using ORM
- simple-flutter: A boilerplate project created in Flutter using MobX, Get-it, Chopper, and simple_auth.
- AWS Certified Solutions Architect – Professional (2023)
- Certified Kubernetes Administrator (2022)
- AWS Certified Solutions Architect – Associate (2021)
- Architecting with Google Kubernetes Engine
- Cloud Architecture with Google Cloud
- Networking in Google Cloud
Feel free to connect with me! 😊