Passionate about building production-grade AI systems that combine Machine Learning, APIs, Cloud Deployment, and Real-Time Analytics.
I enjoy transforming raw data into scalable intelligent systems using end-to-end ML workflows.
✅ Machine Learning & Data Science
✅ End-to-End ML Pipelines
✅ FastAPI & REST API Development
✅ Docker & Cloud Deployment
✅ Real-Time Analytics Dashboards
✅ Anomaly Detection Systems
✅ Feature Engineering & EDA
A production-grade behavioral anomaly detection platform designed to identify suspicious user behavior using Machine Learning.
🌐 Dashboard: 
Streamlit
⚡ API Docs: https://anomalyguard-ai.onrender.com/docs
Python • Scikit-learn • FastAPI • Streamlit • Docker • Render • Plotly
- Built a real-time behavioral anomaly detection system using Isolation Forest.
- Designed ML pipelines for feature engineering, risk scoring, and fraud analytics.
- Developed FastAPI inference APIs and interactive fraud intelligence dashboards.
- Dockerized and deployed cloud-hosted ML services on Render.
- Building scalable ML systems beyond notebooks
- Learning ML System Design & MLOps
- Exploring Real-Time AI & Behavioral Analytics
- Strengthening Statistical Modeling & Deep Learning
Python • SQL • JavaScript
Scikit-learn • Pandas • NumPy • EDA • Statistical Analysis • Anomaly Detection
FastAPI • Docker • REST APIs • Git/GitHub • Render
Streamlit • Plotly • Matplotlib
- 🚚 Real-Time ETA Prediction System
- 🧠 Deep Learning & Sequence Models
- ⚙️ Advanced ML Deployment Architectures
- 📊 Interactive AI Dashboards
- Transition into a Data Scientist / ML Engineer role
- Build production-scale AI systems
- Contribute to impactful real-world ML products
💼 LinkedIn:
https://www.linkedin.com/in/rajesh-kumar-9aa2261b7/
📧 Email:
hrajeshkumaran@gmail.com
🌐 GitHub:
https://github.com/RajeshKumar3451
I enjoy building real-world AI systems that combine:
Machine Learning + APIs + Deployment + Visualization
instead of standalone notebooks 🚀