69.1% mAP@50
Low-visibility
object detection
YOLOv8m trained across fog, rain, snow and night conditions for autonomous driving.
View sourceCOMPUTER SCIENCE · NAGPUR, INDIA
ROHAN / 202601 / SELECTED SIGNALS
Four projects, four different ways of asking a good question and following it all the way to a working answer.
69.1% mAP@50
YOLOv8m trained across fog, rain, snow and night conditions for autonomous driving.
View sourceLIVE DEMO
Real-time traffic spikes, rate limiting and IP blocklisting in an educational browser simulation.
Open live demo~94% ACCURACY
An end-to-end regression pipeline packaged as an interactive Streamlit experience.
View sourcePOWER BI / DAX
A grocery sales dashboard that turns raw numbers into decision-ready stories.
View sourceTHE SHORT VERSION
I'm interested in the moment where a technical idea becomes something another person can actually use.
That has meant computer vision for difficult road conditions, dashboards that clarify a business, agentic workflows that automate the boring parts, and security simulations that make invisible threats visible. I'm still learning. That's the point.
VERIFIED SIGNALS
Certifications and training gathered across cybersecurity, cloud AI, and agentic systems.
03 / CURRENT TOOLKIT
Tap a skill to change the signal. The toolkit is always evolving.
04 / YOUR MOVE
Have a problem worth exploring, a team that needs a curious builder, or just a good idea? Send it my way.
rohanandelkar22@gmail.com