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Hi, I'm Gilbert, a passionate AI and data science enthusiast currently studying Data Science at UC Berkeley. I love diving into machine learning and AI projects, especially those involving large language models and computer vision. My experience ranges from interning at tech companies like SK Hynix and IBM Research to conducting research at Stanford and Berkeley, where I've worked on cutting-edge AI systems and practical applications. I enjoy solving complex problems with innovative tech solutions, like optimizing GPU kernels, building multimodal AI systems, and deploying scalable knowledge graphs. When I'm not coding or researching, I like to build AI-powered applications that make a real-world impact, such as tools that help reduce training time or connect communities through AI platforms.…Hi, I'm Gilbert, a passionate AI and data science enthusiast currently studying Data Science at UC Berkeley. I love diving into machine learning and AI projects, especially those involving large language models and computer vision. My experience ranges from interning at tech companies like SK Hynix and IBM Research to conducting research at Stanford and Berkeley, where I've worked on cutting-edge AI systems and practical applications. I enjoy solving complex problems with innovative tech solutions, like optimizing GPU kernels, building multimodal AI systems, and deploying scalable knowledge graphs. When I'm not coding or researching, I like to build AI-powered applications that make a real-world impact, such as tools that help reduce training time or connect communities through AI platforms.

Gilbert Harijanto

AI Engineer, Data Scientist, Developer, +1

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Hi, I'm Gilbert, a passionate AI and data science enthusiast currently studying Data Science at UC Berkeley. I love diving into machine learning and AI projects, especially those involving large language models and computer vision. My experience ranges from interning at tech companies like SK Hynix and IBM Research to conducting research at Stanford and Berkeley, where I've worked on cutting-edge AI systems and practical applications. I enjoy solving complex problems with innovative tech solutions, like optimizing GPU kernels, building multimodal AI systems, and deploying scalable knowledge graphs. When I'm not coding or researching, I like to build AI-powered applications that make a real-world impact, such as tools that help reduce training time or connect communities through AI platforms.…Hi, I'm Gilbert, a passionate AI and data science enthusiast currently studying Data Science at UC Berkeley. I love diving into machine learning and AI projects, especially those involving large language models and computer vision. My experience ranges from interning at tech companies like SK Hynix and IBM Research to conducting research at Stanford and Berkeley, where I've worked on cutting-edge AI systems and practical applications. I enjoy solving complex problems with innovative tech solutions, like optimizing GPU kernels, building multimodal AI systems, and deploying scalable knowledge graphs. When I'm not coding or researching, I like to build AI-powered applications that make a real-world impact, such as tools that help reduce training time or connect communities through AI platforms.

Available to hire

Hi, I’m Gilbert, a passionate AI and data science enthusiast currently studying Data Science at UC Berkeley. I love diving into machine learning and AI projects, especially those involving large language models and computer vision. My experience ranges from interning at tech companies like SK Hynix and IBM Research to conducting research at Stanford and Berkeley, where I’ve worked on cutting-edge AI systems and practical applications.

I enjoy solving complex problems with innovative tech solutions, like optimizing GPU kernels, building multimodal AI systems, and deploying scalable knowledge graphs. When I’m not coding or researching, I like to build AI-powered applications that make a real-world impact, such as tools that help reduce training time or connect communities through AI platforms.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Language

English

Fluent

Work Experience

AI/ML Intern at SK Hynix

May 1, 2025 - Present

Orchestrated GPU benchmarking tool to analyze LLM inference performance, storing metrics in SQLite to identify bottlenecks with TensorRT-LLM optimized models, saving 600+ hours/month. Profiled and tuned CUDA kernels on NVIDIA H100 clusters, analyzing kernel-level execution with NVIDIA Nsight to optimize compute efficiency, reducing latency by 35%. Simulated chip for disaggregated serving with speculative decoding for LLMs achieving 5x lower cost and 2x speed.

AI Engineer Intern at IBM Research

May 31, 2025 - July 19, 2025

Engineered a multimodal Agentic RAG AI system by orchestrating 9 LangGraph workflows for multi-agent collaboration and tool calling with real-time data retrieval at <200ms latency. Conducted a 12-year trend analysis using time series ensemble (SARIMAX, Prophet, Random Forest, XGBoost), optimized with GridSearchCV and AutoARIMA, achieving 98% accuracy.

AI Engineer Intern at BART

December 31, 2024 - July 19, 2025

Deployed a multimodal LLM app for employee training via Streamlit, leveraging OPL Stack (OpenAI, Pinecone, LangChain), reducing employee training time, saving $125,000. Spearheaded knowledge graph–powered RAG pipeline via GraphRAG and Neo4j, reducing hallucinations by 55%.

Founding AI Engineer at RapidEye

August 31, 2024 - July 19, 2025

Optimized cloud OCR ($1.50/1,000 call) with open-source model, enabling scalable usage across 2,000+ users. Enhanced output speed of Chat Completion by 4x with GroqAI and LLaMa, using WhisperX for diarization. Designed a computer vision-based location detection system, processing 1000+ locations/hour at 89% precision.