Logical and results-driven Web Developer dedicated to building and optimizing user-focused websites for customers with various business objectives.
Overview
2
2
years of professional experience
Work History
Backend Developer Intern
FORM
05.2023 - 09.2023
Spearheaded development of web application for viewing and manipulation of machine learning pipeline data in a $37.5M store shelf image recognition company.
Engineered high-performance endpoints in Django and optimized PostgreSQL queries achieving 500% reduction in response time.
Designed robust API clients for integrating remote NoSQL databases and wrote testing tools for downloading production data into local development environments.
Developed visually appealing and user-friendly pages using jQuery, HTML, and CSS.
Conducted rigorous unit tests using pytest, achieving a test coverage rate of 95% and significantly reducing the number of bugs encountered during development.
Python Developer
Engineering Product Innovation Center
02.2022 - 05.2023
Developed an entry authorization service with FastAPI and React for the university machine shop, replacing a terminal application with a file-based storage system and saving +3 hours weekly on setup and debugging.
Integrated the website with Homebase API employee clock-in system by leveraging personal access cards.
Implemented a survey collection feature for facility users, enabling management to view visualized statistics of over 5000 past visitors.
Data Analyst & Researcher
BU VIP Lab
02.2022 - 01.2023
Collaborated in the development of a cutting-edge image recognition neural network, leveraging carbon dioxide sensors and overhead fish-eye cameras to predict room occupancy with +95% accuracy.
Developed Python scripts for automated creation of highly customizable plots in Matplotlib, showcasing JSON bounding box image data.
Devised an algorithm for generating heat map density plots, improving the efficiency of the previous solution by 1000% and optimizing the placement of carbon dioxide sensors in the experiment rooms.
Created a suite of Bash scripts that facilitated seamless transfer of estimation data between remote and local machines, resulting in +3 hours of weekly time savings.