I work on AI automation and computer vision systems, using full-stack development as an enabling layer to build end-to-end solutions.
I am a Computer Science (AI & ML) student who learns by building. I work on end-to-end projects that aim to solve real-world problems by combining AI automation, computer vision, and backend systems. Through my internship and personal projects, I have worked on OCR pipelines, computer vision workflows, backend services, and AI-powered SaaS applications. I am currently strengthening my foundations in data analytics and machine learning, with the goal of moving toward more ML-focused work.
HTML, CSS, JavaScript, Python
Built more than 5 projects
React, Django, Django REST, crewAI
These projects represent my journey in applied AI and full-stack development — from object detection systems to accounting workflow automation. Each one was built to learn deeply and solve meaningful problems.
Automated estimation generation from glass design images using structured image processing and rule-based calculations.
AI-powered system that generates marketing creatives and branded assets dynamically using automated layout logic.
Real-time object detection web application using YOLOv5 integrated with Django for video and webcam inference.
Repo
Simplified accounting system for small businesses with digital bill storage, automated ledger calculation, and daily revenue tracking.
RepoHere’s a snapshot of the technologies and tools I’ve used across internships and personal projects while building applied AI and full-stack systems.
Repo
