Risk-X: Real-Time Risk Intelligence
Cloud-native streaming system for transaction risk monitoring: online anomaly scoring, drift detection, and automatic threshold/model adaptation for stable alerting.
Hi, I’m Nandu Krishna R
Computer Engineering Master’s Candidate @ CSUN • ML • Robotics • Embedded Systems
I build systems that don’t just “work in theory” — I like shipping demos you can run, test, and improve. My focus is Machine Learning, but I also spend a lot of time in robotics + embedded work: ROS, sensors, vision pipelines, and hardware-software integration.
- Risk-X: real-time anomaly scoring + drift-aware adaptation on Azure
- Ainex humanoid: safety-first vision → decision → ROS motion primitives loop
- Embedded CV: real-time pose-based attention analysis on Raspberry Pi
Projects
Ainex Vision Navigation
Safety-first humanoid navigation demo: camera frame → VLM decision → one controlled ROS motion primitive. Conservative defaults, predictable behavior, easy debugging.
Real-Time Pose-Based Attention Analysis
On-device pose estimation + interpretable attention heuristics running in real time on a Raspberry Pi. Logged 10k+ frames for future learning-based upgrades.
Welkin Aves
Co-founded a drone battery-swapping prototype project: CAD + hardware integration + control systems. Supported by incubators and recognized at Idea Fest events.
Flight Price Prediction
Random Forest regression with feature engineering + evaluation (MAE/RMSE/R²) to predict flight prices. Includes feature importance analysis.
Customer Spending Prediction
Linear regression on e-commerce behavior metrics to predict yearly spending and interpret which features drive purchases.
Drug Classification
Decision tree classifier for prescription prediction with preprocessing, cross-validation, hyperparameter testing, and model visualization.
Certificates
IBM Data Science
Hands-on data science workflow: Python, SQL, visualization, ML foundations, and a capstone project.
Python Core
Core Python fundamentals including data structures, algorithms, and object-oriented programming.
Excel
Data organization, analysis, and visualization using formulas, pivot tables, and charts.
ML for Beginners
Intro ML concepts: supervised/unsupervised learning, preprocessing, training, and evaluation workflows.
Achievements
Winner — IDEA FEST 2021
Recognized for Welkin Aves; awarded a grant of 50,000 INR to support further development.
Winner — IDEA FEST 2022
Awarded a grant of 2,50,000 INR to advance the prototype toward real deployment.
1st Place — Skill Connect 2018
Placed first in a competitive coding / problem-solving event held across engineering campuses in Kerala.