Welcome to my GitHub profile!
- 🔭 I'm currently working on AI/ML, MLOps, Full-Stack Development, and Cloud-based Automation
- 🌱 Learning more about Generative AI, Vertex AI, and Streamlit-based UX for AI tools
- 👯 I'm open to collaborating on AI pipelines, data platforms, full-stack apps, and end-to-end ML workflows
- 💬 Ask me about GCP, Python, Machine Learning, Data Engineering, and Node.js/React
- ⚡ Fun fact: I'm an introvert who automates everything before I talk about it 😄
| AI/ML | Cloud | Programming | Web & Full-Stack | Tools & Platforms |
|---|---|---|---|---|
| 🤖 Sklearn, XGBoost, LLMs | ☁️ GCP, Vertex AI | 🐍 Python, SQL | ⚛️ React, Node.js, Express | 🐳 Docker, Airflow, Streamlit |
| 📊 Pandas, NumPy, Matplotlib | 🔐 IAM, Cloud Functions | 📘 TypeScript, JavaScript | 🍃 MongoDB, Material UI | 📈 BigQuery, Pub/Sub, Looker |
| 📉 Statistics, Time Series | 🔄 CircleCI, CI/CD | ⚙️ Bash, Git | 💅 Styled Components | 🛠️ ESLint, Prettier |
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🔍 Deepfake Detection Tool — An end-to-end pipeline to detect AI-generated images/videos.
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📊 Real-time Data Dashboard with Pub/Sub — Cloud Function + BigQuery + Streamlit dashboard for live data monitoring.
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🧠 Heart Attack & Diabetes Risk Predictor — ML models integrated with Agentic tools for personalized health risk assessments.
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🌐 Full-Stack Portfolio Dashboard — MERN-style app built with Node.js, Express, TypeScript, ReactJS, MongoDB, and Material UI. Containerised with Docker and automated via CircleCI.
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📐 Statistics & Time Series Forecasting (Jupyter/Colab) — Notebooks covering statistical analysis and TSF experiments, developed in Google Colab.