Hi, I'm Anant
Building scalable systems and backend software with a focus on distributed infrastructure, networking, and reliability
about
I'm currently pursuing my Master's in Computer Engineering at the University of Illinois Urbana-Champaign, where I'm focused on distributed systems, networking, and backend infrastructure.
Before grad school, I worked at Citi and interned at IBM, NETGEAR, and a startup in Vancouver, building software across fintech, automation, and networking systems.
Here are some languages and frameworks I've been working with:
Outside of building software, I love traveling (10 countries and counting!), discovering new coffee shops near me, and scuba diving whenever I get the chance. I'm especially drawn to experiences that let me explore new places and perspectives.
experience
Software Engineer @ Citi
July 2023 – Aug 2025
- ▷Built a money market funds trading application for Citi's Institutional Client Group, handling millions of dollars in trades daily.
- ▷Developed key features such as bulk trade processing and financial controls reducing trade creation time and error rates.
- ▷Introduced extensive test coverage and test automation via JUnit and Selenium, surpassing 80% code coverage and directly reducing developer and QA time by 25%.
Software Engineer @ Citi
July 2023 – Aug 2025
- ▷Built a money market funds trading application for Citi's Institutional Client Group, handling millions of dollars in trades daily.
- ▷Developed key features such as bulk trade processing and financial controls reducing trade creation time and error rates.
- ▷Introduced extensive test coverage and test automation via JUnit and Selenium, surpassing 80% code coverage and directly reducing developer and QA time by 25%.
projects
InterPrep
Built a real-time mock interview platform that analyzes non-verbal communication during behavioral interviews using live webcam input. Implemented computer vision pipelines with Google MediaPipe to generate eye contact and facial expression feedback in real time.
InterPrep
Built a real-time mock interview platform that analyzes non-verbal communication during behavioral interviews using live webcam input. Implemented computer vision pipelines with Google MediaPipe to generate eye contact and facial expression feedback in real time.
InterPrep
Built a real-time mock interview platform that analyzes non-verbal communication during behavioral interviews using live webcam input. Implemented computer vision pipelines with Google MediaPipe to generate eye contact and facial expression feedback in real time.
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