Jiajing Fang | Software Developer

Hi, I'm Jiajing Fang.

A

Quick learner, passionate programmer who enjoys solving complex and challenging real-world technical problems. Focus on Machine Learning and AI area.

I am on my last year of master and looking for new grad position.

About

I am a computer science master student at Saarland University, Germany. I enjoy problem-solving and coding. I am interested in NLG and machine learning area. I have worked on technologies like front-end development (HTML5, CSS, JavaScript), data mining and natural language processing and generation(SpaCy, NLTK, Neo4j) during my study. I have two full-time internship experiences which helped me strengthen my experience in software development and machine learning(NumPy, Pandas, Sklearn, Pytorch, Keras) in QuantPi and Huawei. I am passionate about developing applications for real-world use and researching on up-to-date machine learning.

Languages: Python, Java, JavaScript, C++, HTML/CSS, Bash
Databases: MySQL, Neo4j
Libraries: NumPy, Pandas, Sklearn, SpaCy, NLTK,
Frameworks: PyTorch, Keras, Node.js
Tools & Technologies: Git, linux

Looking for an opportunity to work in a challenging position combining my skills in AI/ML Engineering and Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Huawei

Software Engineer Intern

Collaborate with seniors to implement and maintain an object detection model in Huawei AI cloud development platform
Assist to develop VR educational software application demo in Unity
Investigate Huawei AI(Hilens, Atlas) and VR(Huawei VR glasses, 6DoF gameset) products and generate documentation
Certificate
Tools: Python, OpenCV, pyTorch, GIT, C#, Unity

Mar 2022 - Jun 2022 | Saarbrucken, Germany

QuantPi

Software Engineer Intern

Collaborate with seniors to develop dashboard for our software application using streamlit
Debug and test new software features
Analyze new datasets, train and evaluate different models in pyTorch environment as input for our AI model explanation software
Collaborate with seniors to research and investigate new technical issues
Certificate
Tools: Python, NumPy, Pandas, Sklearn, streamlit, jinja2, pyTorch, GIT

July 2021 - Dec 2021 | Saarbrucken, Germany

Max Planck Institut for Informatik

Student assistant

Work under CAM group in Computer Graphic department for research project about moire effect
Collaborate with seniors to publish our moire effect research result in paper writing, simulation result rendering, experiments running and result sample 3D printing
Paper PDF
Paper Video
Tools: Python, Blender, 3D printing

Oct 2019 - Mar 2020 | Saarbrucken, Germany

Projects

                
Search Engine
                  A search engine built from scratch
                
AccomplishmentsTools: Python, SpaCy and word2vec model

                    Index by Inverted index, ranked by BM25, performs word similarity by a pre-trained work2vec model
                  
Quiz App
                  A Gerneral Knowledge Quiz App developed in React
                
AccomplishmentsTools: Javascripts, HTML, CSS, Bootstrap, React
Play Quiz and see the leaderboard

Deep-learning Model
                  A collection of construction of all famous deep learning model 
                
AccomplishmentsTools: Python, Keras, Pytorch
Apply all models in certain user cases, including data preprocess
Including: ANN,RNN,CNN,AutoEncoder,Self Organized Map,Restricted Boltzmann Machine 

Question Answer System
                  A question answer system built from sratch based on knowledge graph.
                
AccomplishmentsInput question in natural language and output answer. 
Use SpaCy from NLP & NER, Neo4j for knowledge graph database, classification model from sklearn