Madhu Shrestha
Software engineer with a passion for building efficient, scalable, and impactful applications.
About Me
I'm a final-year software engineering student with a strong focus on full-stack and frontend development with an interest in human computer interaction.
I’m actively seeking graduate software engineering roles where I can contribute to building robust, scalable applications, continue learning across the stack and make a meaningful impact through technology. I’m especially drawn to roles that combine creativity with code and allow me to grow as both a developer and designer.
Skills & Technologies
Projects
Here are some projects I've worked on that showcase my skills in full stack development and UI/UX design.
Sentifi
An event intelligence platform that analyzes company sentiment and tracks real-time stock price movements. Built with a serverless backend on AWS and a Next.js frontend, it collects data from Reddit, Yahoo Finance, and Finnhub, performs sentiment analysis using Llama 3.3, and alerts users when price thresholds are crossed.
MacOS Inspired Portfolio
A personal portfolio website inspired by the MacOS interface, complete with a desktop-style layout, dock navigation, and folder-based project organization. Showcases skills, languages, and projects in an interactive environment that mimics the Mac user experience. Designed for a unique, playful, yet functional presentation of my development work.
Fruit Focus
An interactive web app that helps users discover seasonal fruits available across different regions of Australia. Features a powerful search system that filters fruits by name, nutritional content, or seasonality. Includes comprehensive fruit profiles with detailed macro and micronutrient data to support healthy and informed choices.
SmartScribe
An AI-powered study companion that transforms lecture videos and transcripts into interactive, multi-modal learning materials. SmartScribe automatically generates structured topic summaries, flashcards for active recall, and visual knowledge graphs to map concept relationships. Includes text-to-speech for auditory learning, PDF export for offline access, and supports diverse learning styles through visual, textual, and audio content.
Planterior
A responsive indoor plant shopping website with a built-in recommendation system. Users can browse, search, and filter plants by categories like price, popularity, and name. Includes detailed product pages and a seamless checkout experience, with efficient state management to track selected items.
Contact Me
Feel free to reach out!