hi, i'm rudy.
welcome to my little corner of the world wide web
-> compsci, math, and stats student @ uoft
-> building impactful, scalable, and secure software
-> passionate about machine learning, artificial intelligence, and innovation
let's connect! (p.s., try clicking one of the dots!)
about.
hello world🫡, i'm rudy. i'm a young adult entering my 20's with a burning desire to build cool sh!t. i spend my time making innovative solutions that bring value into the lives of their users.
now:
i just finished my 3rd year at the university of toronto, where i'm studying computer science (with a focus in ai), math, and stats.
a machine learning / artificial intelligence researcher at the computational social sciences lab at the university of toronto (uoft) (working under Prof. Ashton Anderson).
a software engineering intern at intact financial corporation
trying to understand what defines a community and how to develop products that redefine user experiences
previously:
an ai/nlp engineer at the urban data center at the university of toronto (uoft).
an ML developer at utmist, the university of toronto machine intelligence student team, working on the re-implementation and expansion of the paper titled “Colorful Image Colorization” authored by Richard Zhang et al. to develop an automated colorization model for historical black and white images.
led a team to develop an open source project w/ unicef that allows their developers to clone apache superset dashboards across instances, i.e. across staging and production environments, reducing the time taken to do so by 93.6%.
a co-founder and cto of an ed-tech productivity startup within the uoft hatchery's nest incubation program.
a full stack developer and a web development executive on hack the 6ix's organizing team.
wrote some test automation code as a swe intern at enrichAI.
did research on using particle swarm optimation to perform feature selection for classification models.
tools and languages i like to use:
languages
frameworks
tools and databases
projects.
experience.
- Engineered a novel knowledge source for a Natural Language Understanding (NLU) system by fine-tuning the RoBERTa large language model to > 93% accuracy using transfer learning for NER.
- Independently conducted a comparative study to determine the impact of specific entities on overall accuracy, providing insights into the significance of distinct entities within the model.
- Established an innovative ed-tech startup focused on addressing challenges students and researchers face while accessing and managing information on the web.
- Conceptualized, developed, and deployed a dynamic and responsive MVP with novel features extracted from interviews with potential users.
- Spearheaded the design of a scalable infrastructure on AWS with optimized data storage, laying foundation for future data analytics capabilities and minimizing AWS costs by 29.17%.
- Iterated pitch decks, business plans, and cash flow projections, with final versions assessed by over 300 judges worldwide, resulting in our selection as finalists in a startup incubator.
- Developed reusable, stylized components in React and TypeScript for the hackathon’s landing page, driving 3000+ unique views and 1200+ hacker applications.
- Utilized the Notion API to fetch and display hacker information, schedule, and resources to 250+ hackers.
- Developed an automated testing suite consisting of unit, integration, end-to-end, and usability tests for an IoT waste collection solution.
- Automated >97% of tests using WebdriverIO and Selenium, reducing testing time by 99.1% (from 10 minutes to 32 seconds).
- Facilitated identification of failed tests and increased ease of test analysis by automatically generating color-coded reports with screenshots and timestamps.
contact.
shoot me an email if you want to connect! you can also find me on linkedin if that's more your speed.