Hello! I'm

Prerna Anand

Hello! I'm Prerna Anand

As an undergraduate student at University of Toronto, I'm pursuing Computer Engineering with a minor in Artificial Intelligence. Passionate about Software, AI and Cloud. Looking to work on innovative and exciting products!

Technologies

C/C++
Rust
Python
HTML/CSS
SQL

Verilog
Matlab
React
GCP

Certificates

Associate Google Cloud Engineer Python SQL

Zebra Technologies

Software Engineering Intern (May 2020 - Aug 2021)

Reduced manual overhead to sign files in cloud storage by writing serverless functions in Python to setup automation and notify server of new file changes
Removed the need of a technician by implementing over-the-air updates for deploying features in Rust
Created and patched Flask endpoints in Python to concurrently communicate with multiple robots over a frontend UI
Maintained realtime communication with server and other sub-systems of the robot in Rust and C++ to keep a track of metrics and apply configurations specified on the UI
Migrated to PostgreSQL DB from SQLite to improve concurrency and simplify migrations between versions
Expanded Python and Rust test coverage by 50% to not deviate from intended design using CI pipeline
Supported remotely as on-call engineer while Proof of Concept testing took place in Germany

Technologies: Python, Rust, C/C++, SQL, GCP

Humans of Skule

President, WebMaster (May 2020 - Present)

Leading a group of 15 students to interview students & share their experiences with 13k+ online audience
Developed archive website in React with an automated gallery system to display latest photos

Technologies: HTML/CSS, React

Humans of Skule

Web Developer

Volunteer (Oct 2020 - Aug 2021)

Collaborated with Senior Engineer to implement web design spec in React under 2 months

Technologies: HTML/CSS, React

SourceRight

Mentor

Volunteer (June - Aug 2019)

Worked as a mentor at Visamo Kids Foundation an organization for educating underpriveleged kids.

Visamo Kids

AI Project

Pet Adoption Prediction

Predicting the adoption rate of a pet based on a dataset provided on Kaggle in a team of four
Leveraged Google Vision and NLP API to process images and analyze text for dataset cleanup
Trained a custom 4-layer CNN and a 5-layer ANN to achieve accuracy of 69.11%

Technologies: Python

Python Libraries: Pytorch, numpy and pandas

Image Processing and Sentimental Analysis: Google Vision API and NLP

Project Link

Maps Project

Created a functional map of 12 cities. Map had the ability to find the shortest distance between two intersections, find closest hospital and police station and an interactive UI.

Final proposal for the project was to be used by Uber for ensuring safety of passengers.

Technologies: C++ and Glade for UI

Project Link

Crossword

Created a crossword game which is projected using VGA. The user uses the keys 1 and 2 on the FPGA to move to specific position in the game and key 4 to submit the answer.

Technologies: C and Assembly

Project Link