Staff Engineer driving innovation in EV battery tech, leveraging Data Science and Deep Learning for a sustainable future 🌱⚡
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Hi, I'm Narisu, a life long learner and a Data Scientist who loves building machine learning products.
The University of Göttingen
Doctor of Philosophy (Ph.D.), Computer Systems Networking and Telecommunications
January 1, 2011 – January 1, 2015
Nanjing University
Master of Engineering (M.Eng.), Computer Science
January 1, 2007 – January 1, 2010
Nanjing University
Bachelor of Science (B.S.), Computer Science
January 1, 2003 – January 1, 2007
NIO
Staff Engineer
January 1, 2023 – Present
Munich, Bavaria, Germany · On-site
Volkswagen AG
Full-Stack AI Engineer @Group Data and AI Products
September 1, 2022 – December 1, 2022
Volkswagen AG
Senior Data Scientist @Deep Learning Expert Center VW Data:Lab
April 1, 2020 – September 1, 2022
E.ON Digital Technology
Deep Learning Specialist (Senior Data Scientist) in the Advanced Analytics and AI Team
October 1, 2017 – March 1, 2020
Greater Munich Metropolitan Area
Packetwerk GmbH
Data Scientist
May 1, 2016 – September 1, 2017
Greater Leipzig Area
SAP
Associate Data Scientist (working student)
October 1, 2015 – March 1, 2016
Heidelberg, Baden-Württemberg, Germany
Georg-August-Universität Göttingen
Research and Teaching Assistant
September 1, 2011 – September 1, 2015
Göttingen, Lower Saxony, Germany
Nanjing University
Research and Teaching Assistant
September 1, 2007 – June 1, 2010
Greater Nanjing Area
Generative AI with Large Language Models
Coursera
June 24, 2026 – Present
edX Honor Code Certificate for Introduction to Big Data with Apache Spark (98%)
edX
June 24, 2026 – Present
Hadoop Platform and Application Framework
Coursera Course Certificates
June 24, 2026 – Present
Deep Learning Nanodegree Foundation
Udacity
June 24, 2026 – Present
LFS158x: Introduction to Kubernetes
The Linux Foundation
June 24, 2026 – Present
Elastic Cloud Infrastructure: Containers and Services
Coursera
June 24, 2026 – Present
Convex Optimization
Stanford Online
June 24, 2026 – Present
Probabilistic Graphical Models (With Distinction)
Coursera
June 24, 2026 – Present
Essential Cloud Infrastructure: Foundation
Coursera
June 24, 2026 – Present
Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization
Coursera
June 24, 2026 – Present
Build AI Apps with ChatGPT, Dall-E, and GPT-4
Scrimba
June 24, 2026 – Present
AI Agents Fundamentals
Hugging Face
June 24, 2026 – Present
GitHub Actions Masterclass: From Beginner to Advanced
Packt
June 24, 2026 – Present
Self-Driving Car Engineer
Udacity
June 24, 2026 – Present
Essential Cloud Infrastructure: Core Services
Coursera
June 24, 2026 – Present
Machine Learning Engineer Nanodegree
Udacity
June 24, 2026 – Present
Agentic AI
Udacity
June 24, 2026 – Present
Generative AI Nano Degree
Udacity
June 24, 2026 – Present
edX Honor Code Certificate for Scalable Machine Learning (100%)
edX
June 24, 2026 – Present
Neural Networks for Machine Learning (100%)
Coursera Course Certificates
June 24, 2026 – Present
Deep Learning
Udacity
June 24, 2026 – Present
Elastic Cloud Infrastructure: Scaling and Automation
Coursera
June 24, 2026 – Present
Bayesian Methods for Machine Learning (with Honors)
Coursera
June 24, 2026 – Present
Architecting with Google Cloud Platform
Coursera
June 24, 2026 – Present
Google Cloud Platform Fundamentals: Core Infrastructure
Coursera
June 24, 2026 – Present
Functional Programming Principles in Scala (100%)
Coursera Course Certificates
June 24, 2026 – Present
Coursera Mentor Community and Training Course
Coursera Course Certificates
June 24, 2026 – Present
Reliable Cloud Infrastructure: Design and Process
Coursera
June 24, 2026 – Present
Build, Train, and Deploy ML Pipelines using BERT
Coursera
June 24, 2026 – Present
Advanced React
Meta
June 24, 2026 – Present
Multimodal AI Applications
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse companies (NIO, Volkswagen AG, E.ON, SAP) across different industries, indicating adaptability. The breadth of certifications, including those in functional programming, cloud infrastructure, and various AI/ML specializations, suggests a proactive learning attitude. The target role of ML Engineer aligns well with the candidate's extensive experience in Deep Learning and AI.
Soft Skills & Operational Fit
The candidate's resume indicates experience in leading data science parts of projects and working in expert centers, suggesting strong problem-solving and potentially leadership skills. However, without psychometric test results or interview data, a definitive assessment of soft skills, stress handling, and team collaboration is not possible.