Building intelligent systems that solve real problems.
I'm a B.Tech Computer Science graduate and current PG student in Data Science & GenAI, specializing in production-grade AI applications. My work spans real-time ML systems, RAG pipelines, fraud detection, and enterprise-grade Python architecture.
class ParthTiwari:
def __init__(self):
self.location = "Bengaluru, India 📍"
self.role = "AI Engineer"
self.focus = ["ML Systems", "RAG Pipelines", "LLMs", "MLOps"]
self.latest_work = "UPI Fraud Detection + Evidence-Based Drug RAG"
self.goal = "Building production AI systems 🚀"| Category | Skills |
|---|---|
| Languages |   |
| Data & ML |    |
| Tools |    |
| Project | Description | Tech Stack |
|---|---|---|
| 🛡️ UPI Fraud Engine | Real-time fraud detection system (0.8953 ROC-AUC, <500ms latency, live production) | XGBoost, FastAPI, DuckDB |
| 🧬 Evidence-Bound Drug RAG | RAG system for evidence-based drug information retrieval | LlamaIndex, RAG, NLP |
| 🔍 Fraud Risk Intelligence | End-to-end ML pipeline with feature engineering & ensemble models | ML, Pydantic, Real-time |
| ⚡ FlowForge | Python workflow orchestration engine for data & ML pipelines | Python, OOP, Design Patterns |
| 🛒 E-commerce Sys | High-performance Python backend with enterprise design patterns | Python, Caching, Stress Testing |
| 📈 Olist Analytics | BI project analyzing 100k+ Brazilian e-commerce orders | SQL, CTEs, Data Modeling |
- 🔭 Working on: Production ML Systems & RAG Applications
- 🤝 Open to: AI Engineer roles & Open Source collaborations
- 💬 Ask me about: ML Systems, RAG Pipelines & Python Architecture
📍 Bengaluru, India | Last updated: February 2026