Ziwen Ming

About Me

I am pursuing a graduate degree in Computer Science at the Georgia Institute of Technology, with a keen focus on expanding my knowledge and expertise in this field.

I am a software developer, bioinformatics research associate working on genome sequencing pipeline at IEH Laboratories, located in Seattle, WA.

Why

to choose to be a software developer?

I first became interested in programming during my time as a bioinformatics research associate, when I was introduced to programs like R and Python. The time and effort savings that programming provided became immediately apparent to me. Inspired by this insight, I decided to teach myself Python and create some simple programs to help with things like metadata organization and data integration. I became more and more absorbed in the world of programming as time went on, always on the lookout for new technologies and eager to discover novel approaches to achieving higher levels of usefulness.

I decided to become a software programmer because of my natural talent and interest in the field. Because of this defining decision, I'm moving on with plans to pursue higher education and enhance my abilities and expertise. Java, C++, C#, SQL, CSS, HTML, and JavaScript are just some of the languages I've learned over this process. In addition, I have extensive experience in all three phases of a project’s life cycle: backend programming, frontend design, and database administration.

I am currently expanding my knowledge by taking a graduate level course in artificial intelligence. This project has given me the opportunity to learn about AI and experiment with the OpenAI API. I hope to further my skills as a software programmer and contribute to innovative improvements in the area by keeping up of the latest technical trends.

My work path and my will to become a skilled software programmer have been shaped by my interest in self-directed learning, and in exploring new technologies. I can't wait to face new obstacles, complete difficult tasks, and keep breaking ground in the field of computer science.

My Experience

Projects

Personal projects

YouTube Clone WEB APP

Made with:

I am currently leading the development of a YouTube clone, focusing on implementing video upload and dynamic display functionalities. My work includes enhancing video processing with Docker on Google Cloud Platform and integrating Firebase for robust authentication, along with Firestore for efficient data management. This ongoing project has already achieved a 40% increase in operational efficiency, demonstrating my skills in utilizing cloud technologies to significantly improve video handling and user experiences.

Demo

PDF Analysis and Query Chatbot

Made with:

Developed a web-based PDF Query Chatbot for natural language interaction and document cross-comparison, integrating OpenAI embeddings for semantic text processing and FAISS for high-speed similarity searches in extensive PDF datasets, complemented by a dynamic, user-friendly Streamlit interface supporting real-time queries and interactive feedback.

Demo

Grocery Express Full Stack Service

Made with:

I designed, developed, and tested a secure drone delivery service system using the MVC architectural pattern. Collaborating with a team, I implemented user authentication, Java and Spring Boot for RESTful APIs, Vue.js for the front-end, and Docker for simplified deployment. The system was deployed on AWS EC2, with the front-end hosted on S3 and MySQL on RDS, ensuring reliability and scalability.

Job Comparison Mobile Application

Made with:

Crafted a robust Android application dedicated to job offer assessment, engineered with agility in mind using Android Studio. Integrated Espresso for comprehensive UI testing and JUnit for reliable backend validation, ensuring top-notch quality. The application features a seamless local database architecture for efficient data storage and retrieval. Notably, it delivers a remarkable 50% enhancement in performance, facilitating rapid data processing and effective job offer comparisons for users.

Demo

MyRaceSignUp.com

Made with:

Developed a racer signup system for identifying race events and tracking past results. As a team lead and developer in a group of four, I worked on design, implementation, and testing. I designed the racer database and implemented the ETL flow for a JDBC application, extracting data from a MySQL database using the JDBC API.

Artificial Intelligence for Meteorites Prediction

Made with:

Developed a project using Kalman Filters to predict the future positions of meteorites based on sensor readings. Implemented estimation techniques to forecast meteorite positions and designed a defense system to destroy them before impact using a laser turret. Demonstrated proficiency in estimation algorithms and real-time decision-making for proactive defense.

Artificial Intelligence for Solar System Prediction

Made with:

Implemented a particle filter to localize a man-made satellite in a solar system. The satellite receives measurements of the gravitational pull of the planets in the solar system. Using a particle filter, the task was to estimate the satellite's position given the noisy measurements. The challenge included limited CPU time and the need to efficiently determine the satellite's location within a specified time frame. By utilizing the particle filter algorithm and integrating multiple measurements, the satellite's position could be accurately estimated, demonstrating the effectiveness of the localization approach.

work projects

Whole Genome Sequencing Console Pipeline

Made with:

The WGSIEH pipeline, developed in Python3, enables efficient analysis of bacterial whole genome sequencing data. It includes steps such as quality assessment, species identification, contamination search, de novo assembly, MLST analysis, and screening for antibiotic resistance genes and virulence factors. The pipeline generates PDF reports for each sample, summarizing the findings and observations.

Automated Genome Data Extraction for Database Creation & Genome Analysis

Made with:

Developed a web scraping program using Selenium to extract URLs from JavaScript web pages and download data from web servers. Created a local database for genome SNP analysis, filtering out duplicate downloads. Resulted in a remarkable 150% increase in the efficiency of database updating. Streamlined the process, saving time and enhancing productivity for genetic research.

Education

Skills

Contact

3mingziwen@gmail.com

resume.

• Linkedin
• GitHub

Elements

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