Mentor

Hei Ru WU

PERSONAL BIO WORK EXPERIENCE AND AWARDS EDUCATIONAL BACKGROUND INSTRUCTION LANGUAGES Job Positions

吳海如 Hei Ru WU

JOB TITLE

Senior Full Stack AI Engineer

DEPARTMENT

Instill AI/R&D Department

INSTRUCTION LANGUAGES

Mandarin
English

Instill AI

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PERSONAL BIO

Hei Ru is an enthusiastic and self-driven learner with an unwavering passion for the dynamic realm of software engineering. His journey began during his undergraduate years when he took it upon himself to self-learn Android development for a school project, laying the foundation for his future endeavors in the field.

As he advanced to graduate studies, he had the privilege of collaborating with an insightful advisor who introduced him to the captivating domain of AI, specifically focusing on Computer Vision. Engaging in pioneering research in the field, they delved into autonomous vehicles and a diverse array of vision-related tasks, harnessing the power of Deep Learning solutions. This period of exploration allowed Hei Ru to build a comprehensive understanding of the fundamental principles of Machine Learning and Deep Learning, and he has since remained dedicated to contributing to the ongoing wave of technological advancement. Currently serving as a Senior AI Engineer at Instill AI in Taiwan.

WORK EXPERIENCE AND AWARDS

Senior AI Engineer, Instill AI, Taiwan (2023 - present)
Founding Senior Engineer, Aegistek, Taiwan (2022 - 2023)
CTO, CarePLUS.ai, Taiwan (2021 - 2022)
Research Assistant, National Tsing Hua University, Taiwan (2020 - 2021)

EDUCATIONAL BACKGROUND

Master in Software Engineering, University of South Carolina, USA
Bachelor in Electrical Engineering, Chang Gung University, Taiwan

Job Positions

Brief Introduction of the Department

【R&D Department】

Instill AI is on a mission to make AI more accessible to everyone. We approach this goal by developing no-/low-code tools to build the backbone of all AI-first applications and products. At Instill AI, we research and develop Instill VDP (Versatile Data Pipeline), the pipeline infrastructure that can connect with many AI solutions and data sources, and Instill Model, the MLOps system to keep AI models used in VDP performant. We are a small and ambitious team of passionate engineers/researchers sharing an unconventional culture fused by DevOps, MLOps and academia. We are hands-on and love to automate everything. We care about our products and deliver to the highest standard.

Department Staff Number

- 5-10 people

Internship Job Description

【Mostly Remote Work/Meet with mentor on a regular basis】

In this internship program, you'll have the opportunity to get paid while working on open-source projects, applying cutting-edge best practices and architecture in areas such as Infrastructure as Code (IaC), microservices, serverless computing, API-first design, Twelve-Factor Apps, zero-trust networks, and message queues. You'll be responsible for designing and developing highly scalable, high-quality APIs and services, as well as maintaining robust database systems. You will also develop data integration standards for unstructured data, crafting processes and logic to extract, transform, and distribute data from diverse sources. Collaborating with other ML/AI engineers, you'll integrate machine learning systems into data pipelines. In addition, you'll work closely with product managers, front-end engineers, and product designers to deliver complex, high-quality backend features that are on our roadmap. Throughout all these tasks, delivering high-quality software and documentation will be a key focus.

Preferred Intern Education Level

- undergraduate students (third year and above)
- Master students
- Ph.D. students

Preferred Intern Skill Sets or Qualities

- Be fluent in either Go or Python
- Basic understanding of machine learning algorithms
- Interested in developing large-scale distributed systems, production data pipelines or data platforms
- Interested in major cloud services including GCP and AWS
- Interested in DevOps, Docker, Kubernetes, gRPC and modern data stack
- Open-source practices/contributions
- Proactive, self-learning, and self-aware
- Intellectual curiosity, always asking "how can we improve?"

Others

- Upon the completion of the NTU International Mentorship Program, students may continue as interns for an additional 6 months - 1 year, at the discretion of the organization
- Salaries (subsidies) provided
- Benefits not provided

NTU INTERNATIONAL
MENTORSHIP
PROGRAM

The Right Path for Your Career

ORGANIZER

PARTNERSHIP ALLIANCE

+886-2-3366-2007

ntuoiaintern@ntu.edu.tw

oia.ntu.edu.tw