Hi! Thanks for your coming. I am Gianna Yang, a graduate student from Umass Boston. I am experenced in Java, Javascript and Python. I've also participated in several internships and crafted some web Apps and mobile Apps in the past time. I expect to graduate in May 2021, and look for the full time software engineer position (new graduate) now. My resume is here. There are the details for my projects in this portfolio page. Also, include my hobby in the spare time.

I am open to any discussion and suggestions. Please contact me in any time if you have any good ideas and information.

Help my friend's startup BeenthereBuddy to create patial of the website in Vue framework and Javascript, and test it, also automated adaption for all devices, including Android, IOS, computer, pad. It is still construction but right now you can visit it https://beentherebuddy.com/.

Rebuilding the website from the front end to the back end and create the database for the lab. Using Vue framework for the website building, Vue.js for the fron-end,PHP for the back-end, Mysql for the database work. It is still construction but right now you can visit it here.

From the begin of March to the end of Augest In 2019, I was very honor to work as a Automated Software Quality Assurance Developer intern at Shanghai Bytedance Company (which is famous for launching the TikTok and Douyin APP which has 3.2 billion users in China). In these more than 6 months, I devoted myself into the center-platform tesing team with the agile development enviornment. I had worked with website quality control on front-end and back-end, also tested the quality on mobile end. Further due to the large scale of data, we mostly designed and built coresponding continuous platform for automated testing by Jenkins in JAVA or python scripts. The original code for the outstanding projects can be found at here.

Expertly utilized tools to track bugs, I implemented and achieved 16 times accelerate automated test evaluation on 1,400,000 data by using multi-process in Python and MySQL. I also used Bash script to facilitate my development. Various algorithms were tested by me in OCR text recognition, image recognition and data mining, reduced 5 times manpower in 3 systems. I had experience working with business and development team to prioritize assignments and manage risks/issues to ensure successful delivery with high quality. Finally, I successfully launched 6 public web services in total.

During the memorable time working in Bytedance, I had got such a lot friends and the charishable approbate from the team leader Zhi Li and the mentor Min Geng, Fig 1 and Fig 2 are the pictures when I was coming to the US, they prepared the surprise for me and wrote the best wishes for me from every person I had collaborated with.

Fig. 1 Group photo (I am at the center)	Fig. 2 Got a warm letter from my colleagues
Fig. 3 A diagram of OCR agorithm automated testing by python	Fig. 4 Using Jmeter in Java to simulate users' interaction

During the 2018 Summer, I got an opportunity to be a research intern at EMC Lab in MST. EMC lab in MST is leading the world’s leading technology, Emission Source Microscopy and every graduates from EMC can get the work in the top company, like Apple, google, amazon, facebook, intel etc.

I led the research of , under supervision of Prof. Victor Khilkevich(shon in figure 6) My research work mainly focus on applying the computer vision method for 3D map and trajectories reconstruction, the figure 7 and 8 are shown for the setup and experiment scheme.

I designed SLAM algorithms to realize real-time positioning by using Kinect V2, and achieve 0.2 cm accuracy. A MATLAB program also wrote by me for robust UDP transmission with Vector Network Analyzer. I implemented real-time source plane estimation with friendly GUI. I also promoted the development of circuit board surface current measurement technology during the internship.

Fig. 5 Group photo (I am at the center)	Fig. 6 Picture with my supervisor
Fig. 7 The experiment settings	Fig. 8 The experiment scheme diagram
Fig. 9 The GUI animation of my program in matlab

Junhong Lin, Bang Wang, Guang Yang and Mu Zhou. Indoor Localization Based on Weighted Surfacing from Crowdsourced Samples [J]. Sensors 2018, 18(9), 2990.SCIE. The link of the paper

In this program, I conducted research concerning high-precision indoor positioning system based on reliable sample selection and surface fitting. I used MATLAB to write programs for data processing and experiment simulation.

Later, I developed an indoor high-precision indoor positioning system and published an article on Sensors.

Fig. 10 The snapshot of the paper	Fig. 11 The scheme diagram
Fig. 12 The experiment settings in a regular teaching building	Fig. 13 The constructed surface radio map

I led a project called HUIYAN Classroom Intelligent Monitor System, which monitored the ongoing class of K12 and intelligently analyzed the collected information, for the sake of making suggestions for teachers. First of all, I collected massive video data of teaching in real classroom and established multi-behavior dataset. Taking advantage of the massive dataset, I designed convolution neural network in Caffe framework for behavior detection, and achieved 92.8% system accuracy.

Fig. 14 Visualization of system test result showing on the website by html+css

Fig. 15 Detection network structure

Aim to educate children on playing the piano, we developed an easy-to-use application on the iOS system. In this project, we made use of the microphone and employed signal processing technique to analyze spectrum to guide the children to play piano. I Implemented application on iOS by using Swift with beautiful and friendly GUI. Our APP can display the real-time progress of the practice and the children can be aware of where they make mistakes during the practice. The APP is uploaded to Apple store.

Fig. 16 The home page of PIPILONG Music	Fig. 17 The friendship page of PIPILONG Music
Fig. 18 The recent practice page of PIPILONG Music	Fig. 19 The music page of PIPILONG Music

Mental Pressure Manager is a biotechnology-based medical hardware device targeted to detect the psychological pressure by cortisol through the strip test.

I collaborated with teammates with biomedical background and served as a Product Manager, in charge of designing the structure of the product. Our product aimed to detect the psychological pressure by an automated strip test of cortisol, based on Internet of Things and mobile health techniques. I communicated with investment institutions about the startup projects and started up the Huace Kangnuo (Wuhan) Biotechnology Inc. for the product. The project has been completed, and this opportunity to incorporate technologies of different fields still widened my horizon.

Fig. 20 The description of Mental Pressure Manager
Fig. 21 The structure of the product	Fig. 22 A prototype of Mental Pressure Manager
Fig. 23 A camera is used to photograph the strip	Fig. 24 A camera is used to photograph the strip
Fig. 25 The user interface on Wechat	Fig. 26 The user interface on Wechat
Fig. 27 We are testing the pressure of elder peoples in a nursing home

To relieve the great pressure at instructors' office hours, I developed an AI teaching platform to help students in Q&A. I constructed the database with Python and wrote algorithms with machine learning. Students now can talk to the AI robot on Wechat to solve their academic questions at spare time.

Fig. 28 The diagram of the chatter algorithm
Fig. 29 The public account of the AI robot	Fig. 30 A talk with the AI robot

ADALM-PLUTO Software Defined Radio is a portable self-contained RF learning module. I developed a communication system with the Pluto SDR and utilized Matlab to write programs and algorithms to realize simple protocols. This fruitful experience develop my skill in Matlab programming and the understanding of Radio Frequency communication.

Fig. 31 The website of our project
Fig. 32 A photo when we are performing communication between two computers	Fig. 33 A snap shot of the Matlab program

I like cooing. I had learned full-time cooking for 1 month in Xindongfang cooking school, and mastered 36 dishes.