Driven to stay ahead,by TECH powered 👷⚡️🦾🛠
Machine Learning Engineer with over 5+ years of experience applying an engineering-driven approach to design, build, and scale end-to-end machine learning systems proven expertise in building production-grade ML systems and operationalizing AI solutions at scale.
| Project | Objective | Description |
|---|---|---|
| Low Level Designs | ||
| Static Blog Site | ||
| Microservices in K8s | ||
| Credit Risk Modeling in Azure | ||
| Unsolved MNIST | 99.4% Val Accuracy in <=20K params and <=20 Epochs | This project helps to understand of CNN archiecture with optimizer and Loss functions |
| YoloV3 | ||
| UNet | ||
| VAE | ||
| FemtoGPT | ||
| FemtoFusion | ||
| ModelServe | ||
| K8sServe | ||
| Agentic RAG |
| Languages | |
| OS & Terminal | |
| Editor’s Choice | |
| Backend Development | |
| Data Science & Machine Learning | |
| Machine Learning | |
| AI | |
| Cloud & Deployment | |
| Observability | |
| Testing | |
| Web-Automation | |
| IaC | |
| Automation | |
| Cloud | |
| Version Control | |
| Database | |
| ETL | |
| Workflow Orchestrator | |
| Notetaking |