Roberto Chavez Jr

Software Engineer

Resume

Projects

The Forest

Coding one of the most dynamic query search church websites for my congregation. Tech stack: Svelte-Kit, PostgreSQL Drizzle ORM, Typescript, MUX Videos, Stripe API. Created a separate database to store additional meta data with sermons (Mux Video database) to have an advance filter system. Coming soon: Custom made Interactive video transcript. Having the ability to fast forward/rewind to a time stamp of the video based on clicking/taping on the words. ( https://www.theforest.church/test/transcript ) Coming soon: Headless Blog integrating from Hashnode: GraphQL Helped make decisions within the congregation to only spend a less than $5 per month. iOS/Android app coming soon: most likely using Tauri (Rust)

SvelteKitTypeScriptPostgreSQLNeonDBMux APIDrizzle ORM
Updated Oct 22, 2025
Personal Website Resume

I built my personal site as a Svelte/SvelteKit app with TypeScript end-to-end so every component, API route, and form has static types and autocomplete. Svelte drives the UI with minimal runtime and fine-grained reactivity, while GSAP handles the motion design—the hex-grid background, section reveals, and subtle hover/scroll animations—kept on a lightweight timeline so animations stay buttery at 60 fps.

SvelteKitTypescriptPostgreSQLDrizzle ORMGSAPBetter-Auth
Updated Nov 3, 2025
Cracking the Coding Interview cover image

I'm practicing coding interviews questions for software eng positions. The book is composed of 189 questions, finished 80+ and counting. I generally outline my problems over a sheet of paper and program afterwards. Usually I reference Tushar Roy youtube channel if I were stuck on a particular problem. If you need help on any problem I've done so far, please email me so I can assist.

C++
Behavioral cloning driving gif

Using Mask-RCNN as an advance form of instance segmentation. Used object detection and semantic segmentation on basketball player donovan mitchell

Machine LearningComputer Vision
Behavioral cloning driving gif

Udacity self-driving car behavioral cloning with CNNs mapping images to steering commands.

Machine LearningRoboticsComputer Vision