AI/ML Engineering Student · Robotics Builder · Researcher · Guitarist
Vijaybhoomi University, AI-ML Engineering '28 · he/him
Second-year AI/ML engineering student who bridges the gap between research papers and real-world robots. I don't just read about algorithms — I build with them.
Published researcher in robotic navigation. Currently trying to figure out how much smarter a bot can get when you give it better ML. Spoiler: pretty smart.
When I'm not debugging sensor fusion or training models, I'm playing guitar — which, honestly, has a lot in common with ML. Both require pattern recognition, repetition, and accepting that things will sound terrible before they sound good.
"The best model is the one that actually solves the problem."
📄 Published: Recent Advances in Robotic Navigation — exploring the intersection of perception, planning, and learning-based approaches in autonomous robots.
I build ML-powered robots that solve real problems — not demo robots, not toy projects. The goal is always: does this work in the messy, unpredictable real world?
Current stack for bots: ROS2 · Arduino Uno · Python · C++
Active focus areas:
- Autonomous navigation with learned behavior
- Sensor integration and real-time decision making
- Applying Gen AI concepts to physical systems
Supervised → Decision Tree · Linear Regression · Logistic Regression
Naïve Bayes · K-Nearest Neighbors
Unsupervised → K-Means Clustering
Robotics → ROS2 · Arduino Uno · Sensor Fusion
Exploring → Generative AI · Deep Learning · Data Analytics
Working towards: Full-stack data analyst pipeline × robotics deployment
| Project | What it does |
|---|---|
| 🤖 Robotic Nav Bot | Autonomous navigation bot built on ROS2 — applies research findings in real hardware |
| 📊 ML Problem Solvers | Collection of ML models targeting real-life use cases — regression, classification, clustering |
| (More on the way) | Building in public, one commit at a time |
Check the pinned repos below ↓
Comfortable with: Decision Tree · Linear & Logistic Regression · Naïve Bayes · KNN · K-Means · ROS2 · Arduino Uno · REST APIs · Generative AI tooling · Data Analytics
- 🎸 Guitarist — finger-picking patterns and gradient descent have more in common than you'd think
- 🏛️ VP of Marketing, Student Council — Vijaybhoomi University; running campaigns, building communities
- 📚 Researcher — published work on robotic navigation, always reading the next paper
- 🔍 Currently exploring — data analytics workflows and how ML can make robots smarter in uncontrolled environments
- Building ROS2-based bots that actually navigate real environments
- Deepening expertise in classical ML + pushing into deep learning
- Becoming a data analyst who can also deploy the model on a robot
- Exploring Generative AI applications beyond text
