Hi, I'm Gilbert. I Build AI for People.

Building Tomorrow’s AI Today

I'm a Data Science student at UC Berkeley with a focus on building the next generation of AI. My skill set spans data science, machine learning, deep learning, computer vision, NLP, LLMs, RAG, knowledge graphs, and more.

I’ve completed 10+ internships (IBM Research, SK Hynix, Honda, etc.), including as a founding ML engineer at a startup, and over a year of research at the UC Berkeley School of Information. I enjoy tackling difficult problems and turning ideas into products that work, finding out-of-the-box solutions that improve performance and scalability, often with limited resources.

I love learning and push myself to grow. I've completed 40+ online courses in AI and machine learning to stay updated in this constantly evolving field. After taking these courses, I break them down on LinkedIn in a fun and engaging way, where I’ve been recognized as a 3x Machine Learning Top Voice. Outside of work, I enjoy hiking, the gym, and studying with music.

Gilbert Harijanto

Professional Experience

My journey in AI research and development

SigIQ
Sep 2025 – Present
Machine Learning Engineer Intern
Building a real time AI tutor that provides instant, personalized guidance at scale
UC Berkeley, CAHL Lab
Sep 2024 - Present
Machine Learning Researcher
Building a course recommendation system for UC Berkeley students
SK Hynix
May 2025 – Aug 2025
AI/ML Intern
Developed a GPU benchmarking tool on multi-node clusters to profile LLM inference performance
IBM Research
Jan 2025 - May 2025
Machine Learning Engineer Intern
Developed an agentic AI-powered chatbot for mangrove forest management, leveraging satellite imagery analysis
Honda
Aug 2024 - Dec 2024
Machine Learning Engineer Intern
Developed a multimodal collaborative research tool with MCP that shares context across devices and teammates
RapidEye
Aug 2023 - Aug 2024
Founding Member, Lead ML Engineer
Developed a YouTube-like streaming platform enhanced with multimodal AI capabilities
BART
May 2023 - Aug 2023
Machine Learning Engineer Intern
Developed a multimodal LLM with knowledge graph-powered RAG to train BART employees
Lexius
Jan 2023 - May 2023
Machine Learning Engineer Intern
Developed a real-time shoplifting detection system using computer vision and pose estimation algorithms
Eden Housing
Aug 2022 - Dec 2022
Data Science Intern
Analyzed multi-regional housing data using predictive analytics and time series modeling to forecast energy burden patterns
Reach Best
May 2022 - Aug 2022
Data Science Intern
Developed a college recommendation system that analyzes student preferences against university reviews to calculate fit scores
OGYA Tekno Nusantara
Jan 2022 - May 2022
Data Science Intern
Analyzed population data for Indonesia's Ministry of Population to optimize fund allocation for housing assistance programs

Achievements

Highlights from my journey in AI, ML, and Data Science

Certificates and Achievements

10+ internships, including as a founding ML engineer, along with 2 years of research experience

Completed 40+ AI/ML online courses and earned 3 professional certifications

Author of an AI inference paper at SK Hynix

Hackathon winner at CalHacks

3x Machine Learning Top Voice on LinkedIn (reaching 4.4M+ audience)

Recipient of scholarships, Data Discovery Award, Cal Leadership Award

Coding Club President

Adobe Student Ambassador

Featured Projects

A selection of my most impactful work in AI and machine learning

MangroveGPT: Real-Time Multi-Modal Multi-Agent Mangrove Monitoring with Agentic RAG

MangroveGPT is a multi-modal agentic AI that monitors mangrove forests in real time.

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FoodVision: A mobile-friendly food classification app

A mobile-friendly food classification app delivering real-time image recognition.

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Memento: A digital time capsule for families to save and relive their favorite moments together

A digital time capsule for families to save and relive their favorite moments together

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SmartPlate: Turn your fridge into a recipe with just one snap

Turns a photo of your fridge into a personalized meal plan using AI, tailored to your specific health goals and dietary needs.

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MangroveGPT: Real-Time Multi-Modal Multi-Agent Mangrove Monitoring with Agentic RAG

MangroveGPT: Real-Time Multi-Modal Multi-Agent Mangrove Monitoring with Agentic RAG

Mangroves are key indicators of our planet's health offering a frontline defense against climate change. MangroveGPT is a Multi-Modal Agentic AI, to monitor them in real time. It leverages an XGBoost model, trained on 12 years of data with 98% accuracy, LangGraph for multi-agent collaboration and dynamic tool use, and an Agentic RAG for reasoning over 200+ scientific articles.

Python
LangChain
LangGraph
Pinecone
SkLearn
CLIP
Streamlit

Technical Expertise

My technical expertise spans across these key areas, enabling me to build end-to-end AI solutions from research to production

Programming Languages

Python
SQL
R
Java
C++
HTML
CSS
JavaScript
PHP
Go

Machine Learning

PyTorch
TensorFlow
Scikit-learn
Keras
Hugging Face

CV & NLP

OpenCV
YOLO
CLIP
Image Segmentation
Object Detection
BERT
Whisper
GNNs

AI, LLMs & Agents

LangChain
LangGraph
LlamaIndex
RAG
GraphRAG
Gradio
Streamlit

Databases

PostgreSQL
SQLite
MongoDB
Vector DBs
Pinecone
ChromaDB
Neo4j
RDF
Redis

MLOps & Infrastructure

AWS
Docker
Kubernetes
Streamlit
Gradio
NVIDIA CUDA
CI/CD

Let's Work Together

I'm always interested in challenging projects and collaborations. Whether you have a specific project in mind or just want to discuss possibilities, I'd love to hear from you.

Email

gilbertharijanto15@gmail.com

LinkedIn

linkedin.com/in/gilbertharijanto

📞

Phone

253-921-1828