ARTIFICIAL INTELLIGENCE ENGINEER · SVNIT SURAT
I’m an Artificial Intelligence student at SVNIT Surat. I build computer vision systems, medical imaging research projects, and intelligent software.
Computer Vision · Artificial Intelligence · Software Engineering
SCROLL TO EXPLORE01 / SELECTED WORK
Research depth. Real-world curiosity.
A closer look at what I build.
Showing 6 projects
01 Research / 2025
Beyond the prediction.
An uncertainty-aware segmentation pipeline that pairs an Attention Residual U-Net with a guided decoder and Monte Carlo Dropout.
Research contributor · NIT Surat
02 Computer vision / 2024 — 2025
Perception in motion.
Arrow perception and ROS 2 integration for rover navigation, connecting a YOLO detector to an actionable horizontal-deviation signal.
AI/ML developer · Rover team
03 Applied AI / 2024 — 2025
Finding signal in context.
An exploratory market research workflow connecting economic indicators, a sentiment feature, correlation analysis and inflation-regression experiments.
Project contributor
Applied AI / 2026
A Prophet forecasting backend and Next.js dashboard for demand, uncertainty, anomalies and scenario exploration.
Computer vision / 2023 — 2024
An IR-triggered camera, VGG16 classification and Raspberry Pi servo control for biodegradable waste separation.
Full stack / 2024
A responsive forestry exploration portal with trail content, ecological information and weather integration.
02 / RECOGNITION
Ideas built. Challenges taken.
Milestones along the way.
Adani Group · May 2026
Our energy forecasting project earned second runner-up, connecting demand predictions with an interactive planning dashboard.
Explore the forecasting projectWeb development · August 2024
Our team won first place with Crawlers, an interactive forestry exploration portal.
Explore CrawlersRobotics · January 2025
I contributed to our rover’s perception pipeline as the team competed at the International Rover Challenge 2025.
Explore rover perceptionDatathon · October 2024
I placed in the top 500 worldwide in the IBM Z Datathon.
03 / THE PERSON BEHIND THE SYSTEMS
B.Tech in Artificial Intelligence
SVNIT Surat · 2023 — 2027
I’m interested in the whole system: the data that shapes a model, the decisions behind its architecture, and the software that makes it useful.
My work spans kidney segmentation research, rover perception, edge classification and forecasting applications. I’m building toward full-stack AI engineering with a focus on evidence, clear interfaces and thoughtful evaluation.
Python · OpenCV · YOLOv8 · TensorFlow
U-Net · Monte Carlo Dropout · HDF5
Pandas · NumPy · Scikit-learn · Prophet
Next.js · React · FastAPI · ROS 2
04 / INDUSTRY, RESEARCH & COMMUNITY
Industry experience.
Research and community.
I worked on AI agents, retrieval workflows and workflow orchestration during my summer internship.
I developed kidney tumor segmentation models and uncertainty visualizations. The research manuscript is under review.
I work on computer vision and robotics projects that connect learned models to edge systems.
I led AI/ML workshops and guided projects, mentoring more than 15 students.
LET’S BUILD SOMETHING THAT MATTERS
Exploring AI engineering, computer vision
and intelligent software opportunities.