Building scalable systems, data-driven solutions, and AI-powered applications.
I am an Electronics, Communication and Information Engineer with a focus on backend systems, data engineering, and AI-driven applications.
I have an experience in building full-stack applications, data pipelines, and scalable systems, with work in computer vision (YOLO) and assistive technology research.
I enjoy solving real-world problems by combining software engineering, data analysis, and machine learning to create practical and impactful solutions.
Institute of Engineering, Pashchimanchal Campus
2021 – 2025
C • C++ • Python
Django • FastAPI • Pandas • NumPy • Streamlit
REST APIs • Celery • Redis
YOLO • OpenCV
PostgreSQL • MySQL
Git • Docker • Power BI
AI + IoT system for real-time obstacle detection with audio and haptic feedback.
Python, OpenCV, YOLOv3, Raspberry Pi
Paper ↗Full-stack system for tracking transactions, budgets, and financial analytics.
Django, DRF, React, PostgreSQL, Docker, Nginx, Chart.js
GitHub ↗Backend system for scheduling and managing tasks with real-time monitoring.
FastAPI, Celery, Streamlit, Docker
GitHub ↗Automated data pipeline and dashboard for analyzing video performance.
Python, Airflow, PostgreSQL, DRF, Power BI
GitHub ↗Developed a real-time sign language recognition using YOLOv8.
Python, OpenCV, ML
LinkIOE Graduate Conference (IOEGC-16), 2025
A real-time obstacle detection system using YOLOv3 and Raspberry Pi to assist visually impaired individuals with navigation through audio and haptic feedback.
Research Paper ↗
RTSTI Conference, 2025 (Conference Abstract)
Abstract No: 20P-MAC-ORAL-051 | Oral Presentation | p.
A computer vision-based system for recognizing Nepali sign language gestures using YOLO models.
Abstract ↗