Software Engineer | Cloud Computing | Cybersecurity | Machine Learning
United States
I am a software engineer with experience designing and building secure, scalable, and data-driven systems.
My work spans cloud-native platforms, machine learning pipelines, cybersecurity-aware architectures, and full-stack development.
I focus on writing maintainable, modular code and building systems that are reliable, observable, and secure by design.
Domains
- Cloud-native and distributed systems
- Cybersecurity and secure system design
- Machine learning and data pipelines
- Microservices and serverless architectures
Programming Languages
- Python
- Go
- TypeScript / JavaScript
- Solidity
- Bash
Frameworks & Tools
- Docker, Kubernetes
- Terraform
- AWS, GCP
- TensorFlow, Apache Spark
- PostgreSQL, Redis, Kafka
- Truffle, Web3.js
| Project | Description |
|---|---|
| Brain Tumor Prediction Using Machine Learning and Big Data | End-to-end ML pipeline for MRI image analysis using TensorFlow, Apache Spark, and Google Cloud Platform. |
| Serverless Deployment Platform | A self-hosted deployment platform inspired by Vercel, built using AWS ECS/ECR, PostgreSQL, Redis, and Kafka. |
| Blockchain Application | Full-stack decentralized application using Solidity smart contracts, Truffle, and Web3.js. |
For more projects, see the Repositories section.
- Security-first architecture
- Automation-driven workflows
- Built-in observability (logs, metrics, traces)
- Ethical and responsible use of data and AI
- Commitment to open-source and collaboration
- Cloud security and infrastructure resilience
- Machine learning for anomaly and threat detection
- Blockchain systems and smart contract development
- Scalable automation and developer tooling
- GitHub: https://github.com/saitarrun

