Ana Camba Gomes Resume

EDUCATION

Massachusetts Institute of Technology (MIT)

Graduation Date: May 2025

Bachelors of Science in Electrical Engineering and Computer Science (GPA: 4.8/5.0)

Concentration: Portuguese Studies

Organizations/Awards: Assistive Technology Club, Society of Hispanic Professional Engineers.
Miami Dade College - The Honors Program

Graduation Date: May 2022

Associates of Arts in Computer Engineering (GPA: 4.0/4.0)

Languages: English, Spanish, Portuguese, German
Technical Languages: Python, JavaScript, C/C++, HTML/CSS, SQL, Bluespec, R, Java, Verilog.
Developer Tools: Render, Firebase, Heroku, VS Code, Git, FIGMA, Android Studio, Trello, Adobe XD, Insomnia, FastAPI.
Frameworks: React, Node.js, Express.js, Material UI, Salesforce Classic and Lightning UI.
Interests: Accessibility, Reading, Filmmaking, Baking, Ice Skating and Photography.

June 2024– Aug. 2024

Migrated security pages from Classic UI to Lightning UI in Salesforce’s core codebase, improving admin accessibility and accelerating deployment by 150% in a single release.
Developed and integrated Lightning Web Components (LWC) based on Figma designs, ensuring alignment with Salesforce’s design standards.
Collaborated in Salesforce’s 254 release planning, working with engineers, designers, and product managers to seamlessly integrate new security features.
Participated in company’s pitch competition, security team hackathon and 3 Volunteering Time Off events contributing to Salesforce’s social impact initiatives.

June 2023– Aug. 2023

Selected as one of 60 students nationwide for a competitive internship offering full-stack web training and 1:1 mentorship.
Built full-stack applications with SQL, Express.js, and React, completing weekly labs focused on database design and web deployment
Received weekly mentorship from software engineers from both Salesforce and CodePath.

January 2023

Developed a new strategy for muscle tracking to provide amputees with more control over robotic prostheses.
Planned multiple stages of proof-of-concept implementations in Python, demonstrating feasibility of the strategy.

May 2022 – July 2022

Conducted data analysis investigation on the efficiency of object detection software (Detectron2) in image processing.
Presented research findings on Detectron2’s object detection efficiency to 20+ researchers, showcasing improvements in image processing accuracy.