Full-stack explorer and CompSci undergrad. Dedicated to crafting seamless digital experiences and learning new technologies along the way.
Internships, part-time, or freelance opportunities where I can learn, build, and add value.
Favourite technologies
"Oh, and I'm also a huge cat person. Meet the squad!"
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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.
A selection of my recent works, ranging from AI platforms to fullstack web applications.
more projects
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: