Machine Learning Engineer with experience building production AI, backend, and computer vision systems. My interests lie at the intersection of AI, Backend Engineering, MLOps, and Infrastructure.
I enjoy building reliable systems, from training and deploying machine learning models to designing backend services, automation pipelines, and scalable developer tools.
- Machine Learning & Computer Vision
- Backend Engineering & Distributed Systems
- MLOps & AI Infrastructure
- Linux, Cloud & Self-Hosted Systems
- AI Agents & Workflow Automation
- Kubernetes, MLOps & Model Serving
- System Design & Homelab Infrastructure with Proxmox, Docker, and Self-Hosted Services
- mallickboy: Lightweight Python utility for monitoring CPU and memory usage during development and testing.
- snapkit (WIP): CLI and Python toolkit for automating day-to-day AI and computer vision workflows.
I enjoy hands-on experimentation, collaborating on impactful projects, sharing knowledge, and building tools that solve real-world problems.
Feel free to explore my repositories or connect if you'd like to discuss AI, backend systems, infrastructure, or open-source projects.




