Full-stack explorer and CompSci undergrad. Dedicated to crafting seamless digital experiences and learning new technologies along the way.
Download CVHi! I'm Farhan Harits Prakoso, an active IT undergraduate, currently in my 6th semester. I'm working towards a career in web development - whether that's fullstack, backend, or frontend, I'm still figuring out where I fit best. What I do know is that I care about building things that actually work well and feel good to use.
Right now I'm leveling up on both backend and frontend - exploring how systems are built under the hood while keeping an eye on the interface side. I like staying in the loop: trying out new libraries, poking around AI tools, or just hunting for design inspiration on Dribbble and random corners of the internet. When I'm not coding, I'm usually down a rabbit hole on YouTube, listening to music, or just vibing. Music basically never stops playing while I work - it's the one constant in my setup.
Completed an intensive full-stack web development & applied AI/ML program. Built Emigria, a fraud-detection capstone platform. handling the UI, backend, and integrating the team's ML model into a pipeline backed by a Neon (PostgreSQL) database.
Contributed as Graph Visualization Specialist on a 5-person team that built SocialCollateral AI is a social graph engine for inclusive microfinance lending. Reached Top 15 among 140+ competing teams.
Active member of the Google Developer Groups on Campus chapter at Universitas Gunadarma. Participating in tech events, study jams, and collaborative sessions around Google technologies and open-source.
Emigria is a multimodal AI-powered overseas job fraud detection platform developed to address a critical vulnerability faced by Indonesian migrant worker candidates: how to verify job offers quickly before trusting recruitment claims that may be misleading, unsafe, or fraudulent.
An AI-powered weekly meal planner for people starting their fitness journey on any budget. Users input their budget, calorie, and protein targets, and the AI generates a full week of meals (breakfast, lunch, dinner) using a RAG approach with a curated Kaggle nutrition dataset.
I'm remote-friendly and always open to new opportunities. Feel free to email me at farhan.harits05@gmail.com. You can also find me on GitHub and LinkedIn, for more details.
Let's be Spotify moots! Check out what I'm listening to:
I'm remote-friendly and always open to new opportunities. Feel free to email me at farhan.harits05@gmail.com. You can also find me on GitHub and LinkedIn, for more details.
Let's be Spotify moots! Check out what I'm listening to: