AI/ML Engineer | PyTorch · FastAPI · Docker | MLOps & Generative AI
Building reliable ML pipelines, scalable MLOps workflows, and practical Generative AI applications.
I work across the end-to-end ML lifecycle:
- Raw data → clean datasets → interactive analytics & Streamlit dashboards
- ML pipelines: EDA → Feature Engineering → Modeling → Evaluation → Deployment
- Generative AI & RAG pipelines for real-world knowledge apps
- MLOps practices with FastAPI, Docker, MLflow, and CI/CD workflows
- Publishing open datasets, dashboards, and models on Kaggle & Hugging Face
🏅 Kaggle Expert — Datasets + Notebooks
🚀 Built interactive Streamlit dashboards and visual analytics for EV charging and football (end-to-end case studies)
📊 Published analysis-ready datasets across domains: EV infrastructure, football matches, generative AI platforms, and social media trends
⚡ Developed end-to-end ML pipelines (fraud detection, sentiment analysis, survival prediction) with robust evaluation & explainability
🗂️ Organized portfolio into curated GitHub Lists (Sports ⚽, EV ⚡, GenAI 🤖, Social Media 📱) to showcase case studies clearly
| Category | Tools |
|---|---|
| Languages & Core | |
| Frameworks | |
| MLOps / Deployment |
| Category | Tools |
|---|---|
| Visualization & Apps | |
| Databases | |
| Cloud & Storage | |
| Generative AI |
🔹 Credit Card Fraud Detection — Pipeline
End-to-end fraud detection workflow with cost-sensitive thresholds, calibration, and deployment-ready API.
🔹 IMDB Sentiment Analysis (NLP)
EDA + classical ML baselines + BiLSTM model for text classification.
🔹 Healthcare Analytics — Diabetes Prediction
Applied ML models with calibration curves, decision curves, and explainability tools.
🔹 Titanic Survival Prediction — Complete ML Workflow
Feature engineering, model ensembling, and explainability on the classic dataset.
- ⚽ Football Matches Analytics
- ⚡ Global EV Charging Project
- 🤖 Generative AI Tools & Trends
- 📱 YouTube Shorts & TikTok Trends
- 🏅 Kaggle Expert — Competitions, Datasets & Notebooks
- 🚀 HuggingFace Publisher — Datasets, Spaces, and Models
- ⚡ GitHub — Open-source ML Pipelines
🚀 Always exploring the edge of Machine Learning & Generative AI.
⭐ If you like my work, give the repos a star — it helps more people discover them.
🤝 Open to collaborations, research, and real-world ML applications.
📩 Let’s connect: data, ideas, and pipelines are better when shared.
⚡ “Bridging data and deployment — one pipeline at a time. Exploring Generative AI to reimagine what’s possible.”