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Hi, I'm Jerilyn Chan Ying Ting, a data science student at the National University of Singapore with a focus on AI/ML, computer vision, and data analytics. I enjoy building production-grade AI systems and collaborating with cross-functional teams to solve real-world problems. My internships at Autodesk, Bosch, Infineon Technologies, and Sembcorp have exposed me to end-to-end AI workflows—from model development to deployment on edge devices and integration with CI/CD pipelines—driving measurable improvements in triage accuracy, automation, and knowledge retrieval.…Hi, I'm Jerilyn Chan Ying Ting, a data science student at the National University of Singapore with a focus on AI/ML, computer vision, and data analytics. I enjoy building production-grade AI systems and collaborating with cross-functional teams to solve real-world problems. My internships at Autodesk, Bosch, Infineon Technologies, and Sembcorp have exposed me to end-to-end AI workflows—from model development to deployment on edge devices and integration with CI/CD pipelines—driving measurable improvements in triage accuracy, automation, and knowledge retrieval.

Jerilyn Chan Ying Ting

AI Engineer, Data Scientist, Web Developer, +2

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Hi, I'm Jerilyn Chan Ying Ting, a data science student at the National University of Singapore with a focus on AI/ML, computer vision, and data analytics. I enjoy building production-grade AI systems and collaborating with cross-functional teams to solve real-world problems. My internships at Autodesk, Bosch, Infineon Technologies, and Sembcorp have exposed me to end-to-end AI workflows—from model development to deployment on edge devices and integration with CI/CD pipelines—driving measurable improvements in triage accuracy, automation, and knowledge retrieval.…Hi, I'm Jerilyn Chan Ying Ting, a data science student at the National University of Singapore with a focus on AI/ML, computer vision, and data analytics. I enjoy building production-grade AI systems and collaborating with cross-functional teams to solve real-world problems. My internships at Autodesk, Bosch, Infineon Technologies, and Sembcorp have exposed me to end-to-end AI workflows—from model development to deployment on edge devices and integration with CI/CD pipelines—driving measurable improvements in triage accuracy, automation, and knowledge retrieval.

Available to hire

Hi, I’m Jerilyn Chan Ying Ting, a data science student at the National University of Singapore with a focus on AI/ML, computer vision, and data analytics. I enjoy building production-grade AI systems and collaborating with cross-functional teams to solve real-world problems.

My internships at Autodesk, Bosch, Infineon Technologies, and Sembcorp have exposed me to end-to-end AI workflows—from model development to deployment on edge devices and integration with CI/CD pipelines—driving measurable improvements in triage accuracy, automation, and knowledge retrieval.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Rust

Intermediate

Language

English

Advanced

Work Experience

AI/ML Engineer Intern at Autodesk

January 1, 2026 - Present

Engineered an AI-powered triage system using multiple MCP servers and a structured knowledge base, delivering more than 95% triage accuracy and reducing troubleshooting time by 85%. Built a production-grade, customer-facing AI assistant that autonomously resolves ~80% of customer issues, decreasing manual support reliance.

AI Research Engineer Intern at Bosch

May 1, 2025 - December 1, 2025

Developed a multi-agent AI system for electric vehicle (EV) battery disassembly leveraging LangGraph and Pydantic AI, enabling intelligent task coordination and automating over 80% of manual disassembly process. Reduced manual annotation time by approximately 70% by fine-tuning Grounding DINO, a vision-language model (VLM), to automatically detect and label screws in EV battery component images. Trained and optimised a YOLOv11 model, achieving more than 0.90 mAP and delivering more than 90% accuracy in real-time screw detection for EV battery disassembly. Deployed ONNX-optimized models to edge devices, lowering real-time inference latency by more than 50%.

AI & DevOps (CI/CD) Intern at Infineon Technologies

January 1, 2025 - May 1, 2025

Built a domain-specific Retrieval-Augmented Generation (RAG) chatbot with LangChain, large language models, Elasticsearch and a Streamlit-based UI, reducing internal engineering document search time by ~90%. Implemented hybrid retrieval and semantic chunking for highly accurate, context-aware responses. Enhanced Jenkins CI/CD pipelines by increasing chip test coverage by ~40% through the addition of new test cases, boosting overall validation depth.

Data Science (Solar) Intern at Sembcorp Industries

August 1, 2024 - December 1, 2024

Trained and developed a YOLOv8-based deep learning model to precisely detect roofs in aerial imagery, achieving over 0.9 mAP. Utilised the Segment Anything Model (SAM) to generate precise 3D roof simulations, enhancing software for high-fidelity rooftop modelling and spatial analysis. Researched and implemented unsupervised clustering methods for solar panel layout optimisation.