I’m a developer who specializes in building practical backend and data systems, usually in messy real world settings where reliability and clean structure matter. I’m currently a CS undergrad at Emory University, and I’ve worked across Web3, healthcare data, and IoT style pipelines. My strongest skills are Python, Django, data cleaning and automation, and backend integration, with experience spanning Java services and Solidity smart contracts. What differentiates me is that I ramp up fast in unfamiliar codebases, I can debug broken pipelines without guessing, and I communicate clearly while keeping work organized and reproducible. Employment and project experience Software Engineering Intern Vision X Built an MVP for MallSolar using Python data modeling, Java backend integration, and Solidity smart contracts for automated revenue tracking and distribution. Revived the SmartPlanting recommendation system by debugging legacy Django code and fixing expert engine integration issues. Maintained Vision.org by resolving dependency and environment problems and improving backend stability and reproducibility. Data and Automation Intern Longstar HealthPro Wrote Python and BeautifulSoup scrapers to collect clinic and physician contact data from public sources, then cleaned and normalized it with pandas and Excel automation to support a scalable provider data pipeline. Built Python tools to generate synthetic patient data for scheduling prototypes to make testing more realistic and efficient. Selected academic and personal projects Backend and AI projects Built a Chainlit based job matching chatbot that extracts skills and constraints from resumes and filters results dynamically. Refactored and modularized a UK Parliament division scraping pipeline into a cleaner, reusable structure. Worked on data focused research and assignments involving graph modeling and ML workflows, including data preparation, evaluation, and clear documentation. Product and systems work Contributed to an inventory and dispensing log workflow for MedTrack style mobile operations, focusing on practical backend logic, data integrity, and usability for real users.

Xiaotong (Steven) Liu

I’m a developer who specializes in building practical backend and data systems, usually in messy real world settings where reliability and clean structure matter. I’m currently a CS undergrad at Emory University, and I’ve worked across Web3, healthcare data, and IoT style pipelines. My strongest skills are Python, Django, data cleaning and automation, and backend integration, with experience spanning Java services and Solidity smart contracts. What differentiates me is that I ramp up fast in unfamiliar codebases, I can debug broken pipelines without guessing, and I communicate clearly while keeping work organized and reproducible. Employment and project experience Software Engineering Intern Vision X Built an MVP for MallSolar using Python data modeling, Java backend integration, and Solidity smart contracts for automated revenue tracking and distribution. Revived the SmartPlanting recommendation system by debugging legacy Django code and fixing expert engine integration issues. Maintained Vision.org by resolving dependency and environment problems and improving backend stability and reproducibility. Data and Automation Intern Longstar HealthPro Wrote Python and BeautifulSoup scrapers to collect clinic and physician contact data from public sources, then cleaned and normalized it with pandas and Excel automation to support a scalable provider data pipeline. Built Python tools to generate synthetic patient data for scheduling prototypes to make testing more realistic and efficient. Selected academic and personal projects Backend and AI projects Built a Chainlit based job matching chatbot that extracts skills and constraints from resumes and filters results dynamically. Refactored and modularized a UK Parliament division scraping pipeline into a cleaner, reusable structure. Worked on data focused research and assignments involving graph modeling and ML workflows, including data preparation, evaluation, and clear documentation. Product and systems work Contributed to an inventory and dispensing log workflow for MedTrack style mobile operations, focusing on practical backend logic, data integrity, and usability for real users.

Available to hire

I’m a developer who specializes in building practical backend and data systems, usually in messy real world settings where reliability and clean structure matter. I’m currently a CS undergrad at Emory University, and I’ve worked across Web3, healthcare data, and IoT style pipelines. My strongest skills are Python, Django, data cleaning and automation, and backend integration, with experience spanning Java services and Solidity smart contracts. What differentiates me is that I ramp up fast in unfamiliar codebases, I can debug broken pipelines without guessing, and I communicate clearly while keeping work organized and reproducible.

Employment and project experience

Software Engineering Intern Vision X
Built an MVP for MallSolar using Python data modeling, Java backend integration, and Solidity smart contracts for automated revenue tracking and distribution. Revived the SmartPlanting recommendation system by debugging legacy Django code and fixing expert engine integration issues. Maintained Vision.org by resolving dependency and environment problems and improving backend stability and reproducibility.

Data and Automation Intern Longstar HealthPro
Wrote Python and BeautifulSoup scrapers to collect clinic and physician contact data from public sources, then cleaned and normalized it with pandas and Excel automation to support a scalable provider data pipeline. Built Python tools to generate synthetic patient data for scheduling prototypes to make testing more realistic and efficient.

Selected academic and personal projects
Backend and AI projects
Built a Chainlit based job matching chatbot that extracts skills and constraints from resumes and filters results dynamically.
Refactored and modularized a UK Parliament division scraping pipeline into a cleaner, reusable structure.
Worked on data focused research and assignments involving graph modeling and ML workflows, including data preparation, evaluation, and clear documentation.

Product and systems work
Contributed to an inventory and dispensing log workflow for MedTrack style mobile operations, focusing on practical backend logic, data integrity, and usability for real users.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
See more

Language

English
Fluent

Work Experience

Software Engineer Intern at VisionX
May 1, 2025 - August 1, 2025
Developed an MVP for Mallsolar, a Web3 solar revenue-sharing DApp, using Python for data modeling, Java for backend integration, and Solidity smart contracts for automated revenue tracking and distribution; designed APIs and backend data structures to support decentralized energy trading workflows. Revived and debugged a dormant SmartPlanting Agriculture IoT-based recommendation system by analyzing legacy Django (Python) code, resolving integration issues in the expert engine, and reactivating the development pipeline. Maintained and enhanced the Vision.org Django project, performing dependency analysis in Python and Java, resolving missing packages, and ensuring environment reproducibility and backend stability.
Data Analytics & Software Intern at Emory AI Data Lab
January 1, 2025 - April 1, 2025
Developed Python scripts to preprocess, validate, and integrate donation and distribution datasets from Atlanta food banks, automatically detecting discrepancies between requested and received food to identify logistics inefficiencies. Created exploratory data analysis (EDA) visualizations with matplotlib and seaborn to track supply-demand gaps across food categories, supporting data-driven improvements to distribution workflows.
Data Engineering Intern at Longstar Healthpro Inc.
May 1, 2024 - July 1, 2024
Developed Python (BeautifulSoup) scripts to scrape and preprocess clinic and physician contact data from public sources, expanding Longstar's provider database by 25%. Cleaned and normalized scraped data using pandas and Excel automation, reducing manual entry errors by over 60% and enabling scalable data pipelines. Built Python tools to generate synthetic patient data for clinician-facing scheduling applications, supporting realistic workflow simulations and improving prototype testing efficiency.

Education

Bachelor of Science in Computer Science and Data Science at Emory University
August 1, 2023 - May 1, 2027
Bachelor of Science in Computer Science and Data Science at Emory University
August 1, 2023 - May 1, 2027

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Professional Services, Education