I am a recent graduate from the University of New Mexico, where I earned my Bachelor's degree in Computer Engineering. Throughout my studies, I developed a strong foundation in computer science and engineering, with a focus on software development and system design. In my time at UNM, I had the opportunity to work on several projects that allowed me to apply my knowledge and skills to real-world problems. Some notable projects include creating a real-time virtual mapping using the on-board camera of a Quanser Drone, using big data techniques to create an ensebmle recommender system to match resumes with job postings, and creating a heat equation model and implementing parallel computing for timing studies and error convergence studies. I am excited to start my career in the tech industry and use my skills to make a positive impact. I am especially interested in working on projects related to backend developement, data analytics, and machine learning.
Jaysen D. Zepeda
Albuquerque, New Mexico
Bachelor's degree in Computer Engineering • Fall 2016 - December 2022
University of New Mexico is nationally accredited and offers a strong cirriculum that prepares students for successful careers in the felid of computer engineering. The faculty of UNM are experts in their fields and provided me with hands-on experience through several projects and research opportunities, which allowed me to apply my knowledge and skills to real-world problems. UNM has state-of-the-art facilities, including labs, computer clusters, and equipment that provided me with the necessary tools to excel in my studies. The school's commitment to diversity and inclusion encouraged me to be engaged in the community and opened my eyes to different perspectives. The knowledge, skills, and experience I gained at UNM prepared me well for my carreer in computer engineering and I am confident that the education I receieved will be a valuable asset in my future endeavors. I was able to hone my engineering and programming skills though some course listed below
Courses Taken: Software Design, Data Structures and Algorithms, Integrated Software Systems, Probabilistic Methods of Engineering, Computer Operating Systems, Intro to Numerical Computing, Intro to Scientific Computing, Principles and Application of Big Data
As a computer engineer, I possess a wide range of skills that have been developed through years of experience in the field. My ability to quickly absorb new information and concepts allows me to adapt to new situations with ease, making me a fast learner. I am also an outspoken individual with strong communication skills, able to effectively convey technical ideas to both technical and non-technical audiences. My eagerness to learn and grow, both professionally and personally, drives me to constantly seek out new challenges and opportunities. I am also very familiar with a team setting and consider myself a strong team player and enjoy collaborating with others to achieve common goals.
•Programming Languages: Matlab, Python, C++, C, Simulink, Unreal Engine
•Frontend Languages: HTML
•Backend Technologies: Flask, React
•Operating Systems: Linux (Ubuntu), Windows
•Cloud Technologies: AWS (Route 53), Netlify
My honor’s thesis was an exploration on the principles and popular strategies of algorithmic stock trading. Throughout my research I focused on exploring high-frequency trading algorithms, mainly because these are the types of algorithms that are employed at Wall Street hedge funds, and also the type I worked on at HeliosMI. Using QuantConnect, a backtesting platform for trading strategies, I developed my own version of three distinct algorithms; a momentum based strategy, a mean reversion based strategy, and a preferred time of day based strategy, all in C#. In my thesis report, I go in depth on each of these strategies, explaining the philosophy behind the strategy, delving into the code that makes up the strategy, and discuss the backtest results. The report also discusses the history of algorithmic trading, and explores some future research aspirations of mine.
Having just finished my undergraduate degree I was working for the real estate brokerage Asher Chaim as a junior software engineer. I was tasked with designing and building a website, and with exactly zero web dev experience, I accepted. In just 2 weeks I taught myself HTML and CSS and had a basic website deployed. In the weeks that followed I added web forms with spam/bot detection and data collection routing directly to an external CRM as contacts. In my free time during this project I designed a few logos for the company, mostly for fun, one of which was picked as the company's primary logo. For these efforts I was promoted to lead software engineer and was granted partner rights. Since then I have taken over the company's tech stack, and have made countless updates to the company site.
This project models a simple Python app, using Flask on the backend and supported by pythonanywhere, which uses data gathered from the Space X API. The app gathers seperates the Space X launches and categorizes them as successful, failed, or upcoming, seperating them into their own respective tabs on the website. Each launch panel shows the image of the specific Space X launch, shows additional information about the flight if available. Each 'launch card' contains links to the reddit page, the Wikipedia page, and the article of that launch.
This Vaadin project uses Deezers Music Search API to concurrently return a pagable, infinite scroll (until all results have been scrolled) list of cards, providing feedback with 'Loading' and 'Done loading' messages. It takes in a search term as a query and implements paging by using an index (25 results per'page'). This project impliments a toggle-able menu with the music search tab and the about app tab.
This project also implements AWS Cognito User Pools to handle user sign in/out, and utilizes a docker container hosted on AWS Lightsail that contains a Quarkus microservice which connects to a MongoDB to manage different user's 'Favorites'. Finally, this project uses AWS SES (deployed via AWS Lambda and called through APIGateway) to send an email from the signed in user (or firstname.lastname@example.org if Cognito Validation is turned off) to me through the 'Contact' section of the 'About' page. A diagram of the program structure is shown above.
This is a relatively simple Android application that implements OMBD's API to search for entertainment. It is a multi-tiered application, consisting of a model tier, a view-model tier, and a view tier. There are a few POJO models to represent the JSON data returned by the API calls, and two different views, one for the search screen and one for the item details screen. The model-view layer of the stack passes data between the layers and performs any backend logic.
Proin gravida nibh vel velit auctor aliquet. Aenean sollicitudin, lorem quis bibendum auctor, nisi elit consequat ipsum, nec sagittis sem nibh id elit.Branding, Illustration
Proin gravida nibh vel velit auctor aliquet. Aenean sollicitudin, lorem quis bibendum auctor, nisi elit consequat ipsum, nec sagittis sem nibh id elit.Webdesign, Photography
The only limit to our realization of tomorrow will be our doubts of today.Franklin D. Roosevelt
The best way to predict the future is to invent it.Alan Kay
“Past performance is the best predictor of success.”Jim Simons
Successful and unsuccessful people do not vary greatly in their abilities. They vary in their desire to reach their potential.John Maxwell
The computer was born to solve problems that did not exist before.Bill Gates
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