Jeremy Elia Intan

Developed and deployed LLM- and ML-based solutions for clients, including an internal LLM project-management tool and an OpenAI/langchain product-info generator for a major Japanese supermarket chain. Built ChatGPT-enabled assistants and prototypes using Azure, GCP (GKE), CosmosDB, YOLO and embedding-based code search to improve internal automation and search.

Researched and prototyped ML systems to scale credit-score recommendation and fraud-detection pipelines, and improved a credit-improvement recommendation model for production readiness. Analyzed user behavior and detection methods to reduce manual effort while maintaining model quality.

Ported OpenVins into HPVM and evaluated HPVM's benefits and trade-offs for XR applications, producing results published at TECS 2022. Conducted systems-level performance experiments and contributed to research code and papers.

Investigated determinism and performance across NVIDIA GPU generations for ML algorithms, ran controlled parameter and synchronization experiments, and contributed to publications at TPDS 2022 and MICRO 2020. Executed benchmarking and analysis to quantify variability and performance impacts.

Developed systems to sweep invalid products using K-means and Naïve Bayes (≈90% precision, ≈75% recall) and prototyped neural-network classifiers that achieved up to 99% precision/recall on training data. Implemented ETL and modeling workflows in Jupyter using Python, Pandas, scikit-learn and Keras.

Developed a full back-end system and front-end microsite templates for Nutricia Indonesia using WordPress, PHP and MySQL, reporting to the CTO and delivering customer-facing integrations. Implemented CMS-driven solutions to streamline partner microsite deployment.

Built an automated website interview system for developer hiring using Moodle and open-source tools to streamline candidate evaluation. Implemented web workflows to reduce manual interview coordination.

Grade: 3.78

Completed a Master of Computer Science from September 2020 to May 2022 with a 3.78 GPA.

Grade: 3.95

Activities and societies: Consistently on the Dean's Honor List; College of Engineering; graduated with Highest Distinction.

Earned a Bachelor of Science (double major in Computer Engineering and Computer Science) from August 2016 to May 2020, graduated with Highest Distinction and a 3.95 GPA.