Spectre
by Arsham Mehrani
Arsham Mehrani
Full Stack
Software Engineer
I’m a full stack engineer in LA, building awesome web apps by day and geeking out on side projects that spark my curiosity by night.
I’m on the Homes.com team crafting the next best real estate portal. See my work on any listing page.
4+
Years of Experience
65+
Projects Completed
JavaScript, TypeScript, HTML, CSS
Frontend
Python, Java, C#, Node.js
Backend
Nuxt.js, Vue.js, Tailwind
Frameworks
Git/GitHub, Bash/Linux
Tools
AWS, Google Firebase
Cloud
Swift, SwiftUI
Mobile
About
- Built and own the main image gallery for all listing pages (Listing, Neighborhood, Building, City, Agent) from end-to-end using C# (RESTful APIs, server-side logic) and TypeScript (client-side), achieving LCP & CLS scores over 95% and boosting SEO performance.
- Developed the Similar Sold component for listing pages using Vue.js and Embla Carousel; collaborated with stakeholders amid ambiguous criteria, offered multiple solutions, and led a sprint of A/B testing to finalize the optimal design.
- Led the development of the Request a Tour component by collaborating with mobile (iOS, Android) and lead processing teams. Ensured API backward compatibility until forced upgrade, then managed cleanup and roll out of the new API, resulting in over 40% adoption rate.
- Developed the Tax History table and graph for multiple listing pages using .NET, TypeScript, Vue.js, and D3.js; overcame lack of live data by engineering robust proxy-level mock data to simulate endpoints, enabling a seamless switch once live data became available.
- Collaborated with product, BA, and QA teams to align development with acceptance criteria and high-quality standards.
Experiences
Statisfy
Statisfy is a web app that analyzes users' Spotify listening data to provide insights into their top artists, tracks, and music mood over time. It uses the Spotify API for data fetching, offering an interactive and visually engaging experience with mood-based visualizations and trend analysis.
Hide and Seek AI
Hide and Seek Game with AI is a reinforcement learning-based game where the hider and seeker navigate a map using ray-casting to detect obstacles and each other. Built with Python and Pygame, the AI agent uses Deep Q-Learning and a neural network to predict optimal actions, exploring and adapting through the epsilon-greedy method.
Memory
Memory App is an iOS journaling app built with SwiftUI, allowing users to easily create and organize journal entries.
Bash and Cron Jobs
Collection of Bash scripts and cron jobs to automate routine tasks on a personal laptop and server environments, improving productivity and maintenance workflows.
kNN Algorithm Implementation
KNN Algorithm is a supervised machine learning algorithm built in Python for classifying items based on their nearest neighbors. Using a fruit dataset with attributes like width, height, and fruit name, it splits the data into 70% for training and 30% for testing.
Music Recommender
This web application recommends new music to users by mining data such as average ratings and number of ratings, applying a custom recommendation algorithm to surface personalized suggestions.
Blog
My Blog for my experiences and everything I build over the years.
My Own Content Management
I built this content management platform for my blog using go programming language. This is a simple platform that allows me to write the blog on my laptop locally and then post them on github and have that display on my website.
Projects
- Undergraduate Research Fellow at CALSys Lab, leveraging machine learning and cybersecurity techniques to predict and prevent attacks.
