- Advancing My Expertise in MLOps & Cloud ML Pipelines
- Exploring Prompt Engineering and Generative AI Applications
- Building Automated Analytics Dashboards with Streamlit & FastAPI
Β Python Β· SQL Β· FastAPI Β· Streamlit Β· TensorFlow Β· Keras Β· Scikit-learn Β· Airflow Β· Docker Β· GitHub Actions Β· AWS
| Category | One-liner |
|---|---|
| π΅ Core | Python Β· SQL Β· Bash Β· Make Β· Git Β· GitHub |
| π’ DS/ML | NumPy Β· Pandas Β· Scikit-learn Β· TensorFlow Β· Keras |
| π’ AI Domains | NLP Β· Computer Vision Β· Deep Learning |
| π’ MLOps / DevOps | Airflow Β· Docker Β· GitHub Actions Β· CI/CD Β· MLOps Β· AWS |
| π’ Full-Stack | FastAPI Β· Flask Β· Streamlit Β· React Β· REST APIs |
| π’ Visualization / BI | Matplotlib Β· Seaborn Β· Plotly Β· Tableau |
| π’ Cloud / Infra | AWS Β· GCP Β· Linux |
| π’ Productivity | Markdown Β· DVC Β· Notion Β· Papermill Automation |
Β· Β· Β·
| π£ Proficient | π΅ Advanced | π’ Vantage | π‘ Intermediate | π Elementary | π΄ Beginner |
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Modular Monolith Architecture β Design clean, maintainable, and extensible applications with clear separation of concerns, optimized for rapid development and MVPs.
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RESTful API Design β Build clean, predictable, secure, and well-documented APIs for robust service integration.
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Clean Architecture & SOLID Principles β Develop maintainable, testable, and loosely coupled software with clear architectural boundaries.
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System Design β Design scalable, reliable, secure, and high-performance systems while understanding architectural trade-offs.
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Event-Driven Architecture β Explore asynchronous, loosely coupled systems using events and messaging.
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Microservices Architecture β Design scalable, independently deployable and resilient distributed systems, understanding service boundaries, communication, observability, and trade-offs.
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Domain-Driven Design (DDD) β Model complex business domains and align software architecture with meaningful domain boundaries.
A modern, local-first semantic FAQ chatbot built with SQLite, Sentence Transformers, FAISS, and Streamlitβfeaturing production-inspired architecture, semantic search, curated-answer retrieval, confidence-aware responses, and robust software engineering practices, with no generative hallucinations.