About Me
Hello! I’m Connor Corrigan, a passionate software developer currently studying Computer Science as an undergraduate at the Georgia Institute of Technology. I specialize in web and mobile development, leveraging languages like Java, Python, Javascript, C, and frameworks such as React, React Native, Android Studio, and Tensorflow. My goal is to create scalable applications that can benefit users around the globe.
When I'm not coding, you can find me wrestling or playing tennis with my friends. I am always eager to learn, grow, and collaborate with like-minded developers to create impactful software. If you're interested in collaborating or have any questions, don't hesitate to reach out!
Skills
Experience
Education
- Web Development
HTML, CSS, Javascript, Typescript
- App Development
React Native, Android Studio
- Languages
Java, Python, C, C++, React
- May, 2025 - August, 2025
Software Engineering Intern, Pinnacle
- Designed and implemented scalable data-processing pipelines in Python and PySpark, optimizing runtime efficiency for high-volume datasets.
- Developed RESTful backend microservices in Flask integrated with AWS Lambda and S3, enabling on-demand data access for analytics dashboards used by product and finance teams.
- Implemented modular CI/CD workflows using GitHub Actions and pytest, achieving 95% test coverage and automated deployment to Databricks clusters with zero manual intervention.
- Designed caching and query-optimization logic using Redis and Delta Lake to accelerate data retrieval speeds by 60%, reducing compute costs across recurring batch jobs.
- 2023-2024
Systems Programming Teaching Assistant
- Selected as 1 of 3 teaching assistants for Systems Programming in C to undergraduate students.
- Provided individualized assistance to students debugging code and guidance on assignments and projects.
- Led complex programming concept review sessions, including memory management, pointers, and system calls.
- June, 2023 - August,2023
Software Engineer at Computer Futures, Sthree
- Developed and automated large-scale candidate–role matching pipelines in Python and SQL, processing 500 profiles daily across fintech, banking, and crypto clients; optimized algorithms and ETL logic to boost placement by 40%..
- Enhanced database schema designs, implemented advanced indexing strategies, and reduced query execution times by 30%, ensuring rapid retrieval of candidate data and improving overall system scalability.
- Built modular data integration services connecting internal CRMs with external APIs (LinkedIn, Greenhouse, and proprietary fintech feeds), automating candidate ingestion and reducing manual data entry by 60%.
- Deployed analytics dashboards in Tableau and Flask, visualizing real-time candidate–client pipeline metrics; dashboards became the central system for business decisions by regional recruiters.
- 2024-2026
Georgia Institute of Technology - Bachelor of Science in Computer Science
Dean's List
- Relevant Course Work:
- Data Structures and Algorithms, Linear Algebra, Computer Organization and Programming,
- Objects and Design, Information Technology, Discrete Mathematics, Systems Programming
- Involvement:
Association of Computing Machinery, Codehub(Developer), Japanese Speaking Club (Secretary), Georgia Tech International Ambassador(Head of Finance)