name: Vaibhav Kandpal
located_in: India
institutions:
- IIT Roorkee Data Science & Artificial Intelligence (Online)
- GGSIPU · B.Tech Computer Science Engineering (2024–2028)
focus:
- Real-Time Fraud Detection
- LLM Engineering
- Distributed Systems
- Backend Infrastructure
- Machine Learning
currently:
building:
- Fraud Detection Pipeline
- Personalized JARVIS
achievement:
- 🥇 Paytm Agent{a}thon Winner
learning:
- Distributed Systems
- Event Driven Architecture
- MLOps
- High Performance Backend Engineering |
|
| Project | What | Stack |
|---|---|---|
| Fraud Detection Pipeline | Real-time fraud detection platform processing streaming financial transactions using Kafka, Go microservices, PostgreSQL, Redis and Machine Learning anomaly detection. | Go • Kafka • PostgreSQL • Redis • Docker • Python • Scikit-Learn |
| Personalized JARVIS | Personal AI assistant supporting voice commands, memory, local LLMs, automation and modular tools. | Python • FastAPI • Ollama • OpenRouter • Speech Recognition |
| Portfolio | Modern responsive developer portfolio showcasing projects, blogs and engineering work. | Next.js • TailwindCSS • TypeScript |
| Quartz Blog (Coming Soon) | Technical articles on AI, backend engineering, distributed systems and machine learning. | Quartz • Markdown • GitHub Pages |
"Programs must be written for people to read, and only incidentally for machines to execute."
— Harold Abelson
┌────────────────────────────────────────────────────────────────────────────┐
│ FRAUD DETECTION COMMAND CENTER │
├────────────────────────────────────────────────────────────────────────────┤
│ System Status ● ONLINE │
│ Event Streaming Kafka Cluster Healthy │
│ ML Engine Monitoring Transactions │
│ Database PostgreSQL Connected │
│ Cache Redis Running │
│ Model Isolation Forest (Training) │
│ CI/CD GitHub Actions Ready │
│ LIVE │
├────────────────────────────────────────────────────────────────────────────┤
│ Current Focus Status │
│ ✔ Building scalable backend systems ACTIVE │
│ ✔ Learning distributed systems ACTIVE │
│ ✔ Training anomaly detection models ACTIVE │
│ ✔ Exploring MLOps ACTIVE │
└────────────────────────────────────────────────────────────────────────────┘
Scikit-Learn • Pandas • NumPy • SHAP • FAISS • Feature Engineering • ETL • DuckDB • Parquet • TimescaleDB • Model Monitoring • Distributed Systems
| Service | Status |
|---|---|
| Kafka | 🟢 Healthy |
| PostgreSQL | 🟢 Connected |
| Redis | 🟢 Running |
| Go Services | 🟢 Operational |
| ML Pipeline | 🟡 Training |
| Docker | 🟢 Running |
✔ Fraud Detection Pipeline
✔ Personalized JARVIS
✔ Quartz Technical Blog
✔ AI Engineering
✔ Distributed Systems
✔ Backend Infrastructure
Backend Engineering
Artificial Intelligence
Machine Learning
Distributed Systems
Open Source
Internships
Hackathons
"The best way to predict the future is to invent it."
— Alan Kay
