Software Engineer Intern

Apnambir Sandhu

559-***-**** ********@****.*** github.com/a3sandhu LinkedIn

Education

University of California San Diego La Jolla, CA

Bachelor of Science in Computer Engineering Sept 2019 - June 2024

● Course Work: Advanced Data Structures, Design and Analysis of Algorithms, Computer Organization and Systems Programming, Operating Systems, Components and Design Techniques for Digital and Analog Systems, Deep Learning Employment

Solecta, Inc. Oceanside, CA

Software Engineer Intern July 2023 - September 2023

● Developed and deployed automation software in Python that reduced the Customer Team’s workload by ~100 hrs/wk

● Enhanced Data Collection and Data Transformation software, empowering the Analysis Team to make more accurate diagnostics for resales and maintenance

● Achieved substantial and sustainable time savings, granting Analysis Team ~15% more time to reassess budget

● Integrated my software with existing codebase using SQL and Microsoft Azure eliminating need for manual intervention Department of Defense MCAS Miramar/UCSD

Innovating for National Security (i4NS) Intern January 2023 - June 2023

● Iteratively researched and designed a solution for a supply issue faced by Tool Room personnel at MAG-16

● Implemented a software solution could automate tool ordering speeding up the process by ~3 months

● Organized and led a team of ~6 developers to create a functioning prototype using Android Studio and React Projects

Triton Marketplace App October 2023 - January 2024

● Collaborated with five other team members to develop a web app for UCSD students to buy and sell dorm life goods

● Integrated Google API to authenticate users so only real UCSD students could access the site

● Created page where users could create and delete posts in React so they could be shared on the main page UCSD Robocup Soccer October 2023 - June 2024

● Implemented coordinated passing capabilities between kicker bot and friendly bots using Java

● Established communication between bots via the central module using Proto so that bots could share information

● Created behavior trees for the referee commands for both offense and defense scenarios Machine Learning January 2024 - March 2024

● Applied Neighborhood Attention Transformers to Neural Net for Age Estimation

● Reduced parameters needed by ~8 million while still increasing accuracy compared to Swin and ConvNext Activities and Leadership

UCSD CSE Department Tutor January 2023 - March 2023

● As instructional assistant for Advanced Data Structures, held lab hours for one-on-one teaching, reviewed course material, testing programming assignments

● Successfully resolved ~300 tutor request tickets with ~99% positive feedback rate DataHacks 2022 Datathon April 2022

● Designed and co-launched a ~300 person data science and programming competition

● Designed and hosted a 3 day workshop and organized datasets and created rubrics for competition

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