AVAILABLE FOR ROLES·UDUPI, IN
AI/ML & Full-Stack Engineer

Shivam Shetty

I build intelligent software systems — from models and data pipelines to APIs, web applications, and edge deployment.

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Computer Vision·Generative AI·Full-Stack·Edge AI·Backend Systems
Shivam Shetty

Udupi · AI/ML & Full-Stack

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Research & Publications

IEEE XPLORE · 2026

Enhancing STEAM Education Using Virtual Technologies: An Augmented Reality and Virtual Reality-Based Approach

Swasthik Yesh, Manvitha Ravi Salian, Shivam Shetty, Gowri Bhat

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Tech Stack

AI / MACHINE LEARNING
PyTorchPyTorch
TensorFlowTensorFlow
KerasKeras
scikit-learnscikit-learn
YOLOYOLO
MONAIMONAI
LangChainLangChain
DATA ENGINEERING
PandasPandas
NumPyNumPy
MatplotlibMatplotlib
SeabornSeaborn
GDALGDAL
RasterIORasterIO
XarrayXarray
BACKEND
FastAPIFastAPI
DjangoDjango
Node.jsNode.js
ExpressExpress
PostmanPostman
FRONTEND
ReactReact
Next.jsNext.js
Tailwind CSSTailwind CSS
StreamlitStreamlit
EDGE AI & EMBEDDED
Raspberry PiRaspberry Pi
ESP32ESP32
ONNXONNX
DATABASES & CLOUD
PostgreSQLPostgreSQL
MongoDBMongoDB
FirebaseFirebase
SupabaseSupabase
VercelVercel
LANGUAGES
PythonPython
JavaScriptJavaScript
TypeScriptTypeScript
C++C++
JavaJava
SQLSQL
TOOLS & DEVOPS
DockerDocker
GitGit
GitHubGitHub
RoboflowRoboflow
UnityUnity
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Featured Projects

All projects →

🏆 MONAITHON — 1ST PLACE

Medical Image Segmentation

Retinal vessel segmentation using MONAI and PyTorch — deployed as a production FastAPI service.

MONAIPyTorchFastAPIStreamlit+2

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GEOSPATIAL AI

Khandava — Forest Fire Prediction

Satellite-based forest fire prediction for Uttarakhand using multi-source geospatial data and XGBoost.

XGBoostGDALPythonPandas+4

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COMPUTER VISION

Coffee Ripeness Detection

Custom 3,000+ image dataset and YOLO-based detection model for precision agriculture in Chikkamagaluru.

YOLORoboflowPythonOpenCV+1

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FULL-STACK — 120+ USERS

Department Voting Platform

Secure real-time voting system for departmental elections serving 120+ users with Firebase and Next.js.

Next.jsFirebaseFirestoreTypeScript+1

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AUDIO AI

Animal Sound Recognition

Audio classification pipeline for recognizing animal sounds using YAMNet and classical audio features, optimized for edge deployment.

YAMNetPythonTensorFlowMFCC+2

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EDGE AI + IoT

Edge AI Beehive Monitoring

ESP32-based edge AI system for real-time beehive health monitoring using environmental, weight, and acoustic sensing.

ESP32PythonMFCCTensorFlow+4

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