I'm a Software Engineer looking for full time opportunities.
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About Me.
As a passionate and highly motivated software engineer, I thoroughly enjoy expanding my technical knowledge and the thrill of working with other developers to solve complex problems. I am currently looking for full time software engineer roles within the United States - please reach out to me for job opportunities in the contact form below - thank you!
Implemented an automated Salesforce portfolio limit detection system using Git Hooks, Bash, and Python, improving workflow automation significantly
Designed a Visual Studio Code Extension with TypeScript, Python, Go, and REST API to automate Salesforce data collection and enforce code standards, preventing limit overages and code errors
Wrote APEX test classes with integrated SOQL in order to maintain optimal code coverage between Salesforce updates
Collaborated in developing and managing workflow rules, processes, and APEX triggers, significantly speeding up customer query response times and improving data availability on their dashboards
Enhanced customer experience by developing a dashboard that dynamically displays weather and electricity sensor data, utilizing server-side Python API calls for real-time data processing and visualization
Developed and sped up website’s customer portal using JavaScript and JQuery, decreasing time spent waiting by ~17%
Played a pivotal role in major company decisions, impacting company direction, financial strategies, and hiring, as well as leading tech discussions and driving technology initiatives
Secured over $10,000 in funding by entering various startup competitions and pitching to potential company investors
Led a tech team of four devs in order to develop our website, chrome extension, and chat room service using JavaScript, and Python. We supplemented our site with MongoDB, MySQL, and AWS to manage data and launch our site which had over 600 registered users
Automated log-collecting and client-side server testing interface in Python, achieving an over 80% reduction in log retrieval and testing operational time
Tested pre-release iOS and Android builds of enterprise and consumer applications. Discovered, tested, logged, and reported over 70 bugs in the beta build
Developed an AI/NLP Spam Detection Bot in Python using Flask, applying Naive Bayes and Logistic Regression to distinguish spam in emails and SMS with 98.8% accuracy.
Managed data acquisition and cleaning, ensuring consistensy between datasets.
Created a user-friendly tool allowing users to input texts for immediate spam evaluation, providing a determination accompanied by a confidence score
Achieved a false positive rate of less than 0.01%, minimizing the misclassification of legitimate messages as spam.
Data Analytics Research: Impact on Weather on Baseball Pitches
Collaborated with Dr. Andy Andres in a data analytics research project, analyzing over 9 million baseball pitches to study the effects of weather patterns.
Uncovered key insights demonstrating that air temperature, humidity, dew point, air pressure, wind, and rain significantly affect pitch speed, spin, trajectory, and break of a pitch.
Utilized R, SABRmetrics data, and weather station API calls in order to clean up data and find correlations between pitch statistics and current weather conditions.
Used Python for data processing and graph visualization when presenting findings.
Conducted an in-depth analysis of the top 500 songs on Spotify, examining attributes like genre, acousticness, danceability, tempo, and more using R/R Studio and Spotify API for data acquisition and analysis.
Performed advanced statistical analytics to identify key determinants of song popularity, finding significant covariates including danceability, loudness, speechiness, instrumentalness, valence, and explicit content.
Ran comprehensive regression analyses to discern statistically significant correlations and indicators when compared to a random sample.
Led the development and teaching of comprehensive workshops for Python, JavaScript, and GitHub in order to foster coding skills among group members.
Mentored college students in advanced programming concepts as well as teaching younger learners through weekly Scratch sessions for elementary students and Python lessons for middle school students.
Played a pivotal role in coaching students through hackathon events.
Facilitated connections between students and recruiters, enhancing career opportunities for group members by exposing them to potential employers and industry leaders seeking tech talent.
As treasurer and an e-board leader, balanced administrative responsibilities with a strong focus on technical education and empowerment, in order to help inspire women in technology.
Developed a zombie survival first-person shooter game using Unreal Engine, which led to winning first place in a game development contest hosted by COSMOS: UC Santa Cruz.
Crafted a challenging and engaging gameplay experience, featuring an immersive environment where zombies continuously spawn and attack the player in a satisfying gameplay loop.
Played a central role in coding and asset creation, including implementing gun mechanics, ammo and health systems, a UI interface, dynamic elements like elevators and moving doors, as well as coding the AI for zombie behavior.
Utilized Blender to create shooting animations and design detailed environment assets.
Designed and implemented a multi-threaded server in C, capable of processing image manipulation requests concurrently, emphasizing throughput and efficiency with simultaneous client requests.
Integrated advanced image processing techniques by manipulating pixel data, including rotation, blurring, sharpening, and edge detection, through custom algorithms developed in imglib.c.
Employed concurrency and synchronization mechanisms, such as semaphores and mutexes, in server_mimg.c to ensure thread safety and maintain data integrity across multiple parallel threads.
Implemented a FIFO queue system for request handling with a specified maximum queue size, effectively managing client requests and ensuring orderly processing in a high-load environment.
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