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Turning Vision IntoReality With One Intelligent Line ofCode At a Time.

I believe great software isn't just built—it's imagined, designed, and refined. With a passion for AI and product thinking, I engineer meaningful digital experiences that learn, adapt, and perform.

EDUCATION

Master of Computer Science, Software Engineering and Systems

GEORGE WASHINGTON UNIVERSITY, WASHINGTON DC, USA | August 2024 - May 2026

Bachelor of Electronics, Communication and Information Engineering

TRIBHUVAN UNIVERSITY, POKHARA, NEPAL | 2018 - 2023

WORK EXPERIENCE

Open Source Program Office Student Ambassador

Open Source Program Office, George Washington University , Washington DC, USA | Sep 2025 - Present

Building an ML-driven UN SDG classifier website leveraging sentence transformers to analyze repositories and issues, providing actionable insights on how open-source projects align with UN Sustainable Development Goals.

Machine Learning Intern

DriverAI LLC , Arizona, USA | Mar 2025 - Aug 2025

Developed and deployed a full end-to-end computer vision system for grocery item recognition and labeling, encompassing model benchmarking (YOLOv7, Faster R-CNN, SSD) and selection for production, modular ML pipeline design with efficient retraining, OCR integration for packaging text, large-scale dataset annotation and segmentation with Mask R-CNN, and optimization for mobile edge deployment (via ONNX and TensorRT), collectively improving accuracy, speed, and reliability of real-time product identification.

Full Stack Engineer

Writing in the Disciplines, Columbian College of Arts and Sciences, George Washington University , Washington DC, USA | Oct 2024 - Mar 2025

Engineered and led the full lifecycle of a secure, performance-optimized Enterprise Reporting Dashboard—integrating React.js/Next.js, AWS Lambda, and Django-based access control—to streamline data access for 20+ department heads, enforce role-based compliance for sensitive academic records, and deliver responsive, user-driven features through iterative stakeholder collaboration.

Software Engineer

Upwork , Remote | Nov 2020 - Jul 2024

Spearheaded the design and delivery of scalable full-stack solutions across healthcare, sustainability, and logistics domains—building modular CMS platforms, real-time analytics dashboards, and cross-platform communication systems—leveraging modern stacks (React.js, Node.js, Flask, Electron.js) and agile CI/CD practices to cut development turnaround by 60%, boost reporting accuracy by 20%, and streamline operational decision-making for diverse clients.

Deep Learning Engineer Intern

Ak consulting Pvt Ltd , Kathmandu, Nepal | Jun 2020 – Aug 2020

Designed a Swift-based data collection application that enabled 50+ volunteers to gather over 1,000 speech samples, contributing to a 30% performance boost in CNN model accuracy through PyTorch-driven deep learning optimizations.

RESEARCH EXPERIENCE

Electromyography signals to control prosthetic hands

Electromyography signals to control prosthetic hands

A Machine Learning Approach to Prosthetic Hand Control

This project focuses on using electromyography (EMG) signals from the human arm, processed through deep learning and neural networks, to control the movements of a prosthetic hand. By training an artificial neural network on EMG signal datasets, the system learns to accurately interpret muscle patterns and translate them into real-time prosthetic actions, offering a potential solution for people without hands.

Indoor path finding and planning of a mobile robot for warehouses

Indoor path finding and planning of a mobile robot for warehouses

Using A* Algorithm for Efficient Navigation

The project aims to develop hardware and software-based solutions for indoor path planning and tracking of a mobile robot, using the A* shortest path finding algorithm in MATLAB. The focus is on accurate calibration of the path to ensure successful displacement and navigation between any two positions on a predefined indoor map.

Blind spot detection using LIDAR

Blind spot detection using LIDAR

Using LIDAR for Enhanced Object Detection

The project focuses on utilizing LIDAR technology to improve blind spot detection in autonomous vehicles. By integrating LIDAR sensors with advanced machine learning algorithms, the system aims to accurately identify and classify objects in the vehicle's blind spots, enhancing overall safety and navigation capabilities.

Featured Projects

Discover my latest work and creations

AI assistant for Educational YouTube videos

Turning YouTube Learning into an Interactive Experience

AIVideo AIYoutubeLearning AssistantSummarizationInteractive Learning
AI assistant for Educational YouTube videos

AI Parliament

Debating Policies, Powered by AI

AIDebatePolicyDiscussionMulti Agent SystemsGovernance Tech
AI Parliament

Agrotrack

AI for Smarter, Greener Farming

AI in AgricultureSustainabilityCrop RotationPrecision Farming
Agrotrack

Eghumti Ecommerce Online Store

Your All-in-One Online Store Solution

EcommerceWeb DevelopmentReactPayment IntegrationStripe
Eghumti Ecommerce Online Store

Robotics Club Landing Page

Showcasing Robotics with a Dynamic Web Experience

Community WebsiteWeb DevelopmentNext.jsRoboticsLaravel
Robotics Club Landing Page

Admin Order Management

Smart Dashboard for Orders, Users, and Analytics

Order ManagementData AnalyticsAdmin toolsVisualizationBusiness Automation
Admin Order Management

What's Next?

Get In Touch

Let's Chat! Whether you have a question, a project idea, or just want to connect, I'm always happy to hear from you. Drop me a message, and I'll be in touch soon!