# Derek Nguyen

> Software Engineer at ScreenBeam || MS in Computer Science with a Specialization in AI/ML

Location: San Jose, California, United States
Profile: https://flows.cv/dereknguyen

Hi there! My name is Derek Nguyen, a results-driven software engineer with a Master's in Computer Science and a background in AI/ML. I'm a full-stack developer with over 2 years of experience building end-to-end applications and scalable software solutions. My technical expertise spans frontend technologies (React, Angular, Svelte) and backend systems (Node.js, Django, Python), with proficiency in developing RESTful APIs and microservices architectures.

While my educational foundation is in AI and Machine Learning—including work with LLMs, NLP, and Computer Vision—my recent professional experience has focused on full-stack development. At my current company, I've been designing and implementing complete web applications, from responsive user interfaces to robust backend systems and database architecture.

I'm skilled in modern development workflows, including agile methodologies, CI/CD pipelines, and cloud technologies (AWS, Azure, GCP). My versatile background also includes mobile development experience, having taught iOS development during my undergraduate studies.

I thrive in collaborative environments where I can leverage my technical skills to solve complex problems and create intuitive user experiences. I'm currently seeking opportunities to further expand my full-stack expertise while utilizing my AI background to develop intelligent, data-driven applications that deliver real business value. Feel free to connect with me to discuss potential collaborations or opportunities for professional development!

## Work Experience
### Software Engineer @ ScreenBeam Inc.
Jan 2024 – Present | San Jose, California, United States
As a Software Engineer at ScreenBeam, I spearhead the development of innovative solutions for educational technology. I architected and implemented an advanced automated testing framework leveraging Selenium and network discovery protocols, enabling efficient parallel testing of Chromium extensions across multiple devices. This implementation significantly reduced QA bug detection time by 75%, streamlining our development pipeline. I also designed and developed a comprehensive web filtering system capable of processing over 35,000 URLs, incorporating features like wildcard domain blocking and custom filtering rules. I integrated machine learning models to build a database of web threats for real-time detection.

Responsibilities:
• Design and implement automated testing frameworks for quality assurance
• Develop and maintain web filtering systems for educational institutions
• Integrate machine learning and threat detection systems to enhance web security and content filtering capabilities
• Collaborate with cross-functional teams to improve product capabilities

### Machine Learning Specialist @ Outlier
Jan 2024 – Jan 2024 | San Jose, California, United States
As a Machine Learning Specialist at OutlierAI, I play a pivotal role in advancing the capabilities of our Generative AI technology. My responsibilities encompass evaluating Generative AI code generation and ensuring consistency in model outputs. Additionally, I am deeply involved in the training of GenAI models through human feedback, leveraging insights to refine and optimize model performance. Beyond this, I engage in prompt engineering to formulate effective stimuli for model training and evaluation. Furthermore, I meticulously review code responses generated by the model and evaluate them against human feedback, ensuring the accuracy and reliability of our AI-driven solutions. Lastly, I actively review and assess the feedback provided by other team members to validate code evaluations and maintain high-quality standards.

Responsibilities:
• Evaluate Generative AI code generation for accuracy and consistency
• Train GenAI models by incorporating and analyzing human feedback
• Engage in prompt engineering to create effective stimuli for model training and evaluation
• Review code responses generated by the model and compare them with human feedback to validate accuracy and reliability
• Assess feedback provided by other team members to ensure the accuracy and quality of code evaluations

### Research Software Engineer @ Karuna Labs
Jan 2023 – Jan 2024 | San Jose, California, United States
As a Software Engineer Researcher at Karuna Labs, I am researching the integration of reinforcement learning techniques into our virtual reality (VR) training modules. My primary responsibilities include conducting in-depth research within the C# and Unity codebase to identify opportunities for implementing reinforcement learning algorithms. Leveraging my expertise in these areas, I provide strategic recommendations for enhancing our training modules to optimize user engagement and therapeutic outcomes.

Responsibilities:
• Initiated the facilitation of machine learning integration into existing VR training modules by conducting comprehensive research within the C# and Unity codebase, identifying key opportunities for model training and optimization.
• Currently in the process of implementing reinforcement learning techniques into VR training modules, aiming to enhance the adaptability and effectiveness of therapy programs for pain management and rehabilitation.
• Collaborated with cross-functional teams to develop and deploy initial machine learning models for personalized user feedback and adaptive training regimens, laying the foundation for improved user engagement and treatment outcomes.
• Conducted preliminary performance evaluations and analysis of implemented machine learning algorithms, providing valuable insights for further refinement and optimization of VR therapy solutions.
• Actively engaged in ongoing research and development efforts to stay abreast of the latest advancements in machine learning and virtual reality technologies, ensuring the continued innovation and enhancement of our products and services.

### Data Analyst @ SIMONTEX
Jan 2022 – Jan 2022 | San Jose, California, United States
As a Data Analyst at SIMONTEX, I assumed a pivotal role in the organization, where I utilized advanced analytical techniques, including machine learning and predictive modeling, to extract actionable insights from complex datasets. My responsibilities encompassed leveraging predictive analytics to forecast future networking market trends, executing comprehensive data analysis to facilitate strategic decision-making, and conducting in-depth research on established and prospective clients to identify high-impact marketing channels. Through meticulous management and analysis of large datasets, I contributed to driving revenue growth and optimizing operational efficiency.

Achievements:
• Applied machine learning algorithms and predictive analytics techniques to develop models forecasting future networking market trends, resulting in a 4% increase in revenue potential.
• Conducted in-depth data analysis utilizing advanced statistical methods and data visualization tools to manage and derive insights from large datasets, enabling strategic decision-making processes.
• Implemented predictive modeling techniques, including regression analysis and time series forecasting, to identify key factors driving revenue growth and optimize resource allocation.
• Leveraged data mining methodologies to extract actionable insights from complex datasets, leading to the identification of high-impact marketing channels and strategies for targeting established and prospective clients.
• Developed and deployed machine learning models for customer segmentation and targeted marketing campaigns, resulting in improved customer engagement and conversion rates.

### Software Engineer @ Vusar
Jan 2021 – Jan 2021 | Irvine, California, United States
As a Software Engineer at Vusar, I led the development of new iOS features that increased user downloads by 5% and improved accessibility of AR technologies. Employing agile methodologies, I conducted thorough code reviews, testing, and debugging to enhance application performance. Collaborating with cross-functional teams, I implemented the Firebase platform for efficient data management and UI design, while ensuring seamless integration through continuous integration and continuous deployment (CI/CD) pipelines. Guiding applications through the software lifecycle, I ensured a superior user experience. Additionally, I engineered advanced AR features and optimized performance, spearheading initiatives to streamline development processes.

Achievements:
• Engineered advanced AR features using frameworks such as ARKit and SceneKit, pushing the boundaries of immersive experiences and positioning Vusar as a leader in AR innovation.
• Optimized application performance and resource utilization through the implementation of efficient algorithms and data structures, resulting in a 20% reduction in app loading times and improved overall responsiveness.
• Collaborated with UX/UI designers to prototype and iterate on design concepts, incorporating user feedback and usability studies to refine and enhance the user interface and interaction design of mobile applications.
• Implemented scalable backend systems and APIs to support mobile application functionality, ensuring high availability, scalability, and security of user data and application resources.
• Spearheaded initiatives to streamline development processes and enhance team productivity, including the adoption of agile methodologies, automated testing frameworks, and continuous integration/delivery pipelines.

### Tech Fellow @ CodePath
Jan 2020 – Jan 2021 | Irvine, California, United States
As a Tech Fellow at CodePath, I undertook the role in advancing the education and skill development of undergraduate students in the realm of mobile development. Through guidance and resource creation, I facilitated the acquisition of essential skills in iOS development and Swift programming. Moreover, I provided individualized support to students, employing debugging techniques and iterative improvement strategies to enhance the functionality and performance of their mobile applications. Additionally, I formulated a comprehensive plan-of-action aimed at instilling best practices in software engineering, emphasizing structured and well-written code, clean UI/UX design principles, and efficient development processes. Collaborating closely with the teaching team, I played a pivotal role in refining the course curriculum to adapt to the dynamic landscape of mobile development, ensuring alignment with industry standards and emerging technologies.

Achievements:
• Spearheaded the development of advanced tutorials and video resources covering topics such as API integration, database management, and mobile app lifecycle management, enriching students' understanding and proficiency in mobile development concepts.
• Conducted in-depth code reviews and provided constructive feedback to students, fostering a culture of continuous improvement and excellence in software craftsmanship.
• Led workshops and seminars on advanced iOS development techniques, including concurrency, memory management, and performance optimization, equipping students with advanced skills to tackle complex app development challenges.
• Collaborated with industry partners to organize guest lectures and networking events, providing students with valuable insights into current trends and practices in the mobile app industry.
• Contributed to the development of new course materials and assessments, ensuring alignment with industry standards and educational best practices in mobile development education.

### Software Engineer @ Karuna Labs
Jan 2020 – Jan 2021 | San Francisco Bay Area
During my tenure, I spearheaded various technical initiatives aimed at advancing the field of digital healthcare and immersive technology. Leveraging my expertise in C# and Unity, I engineered modules tailored specifically for carpal tunnel patients, integrating innovative solutions to enhance treatment efficacy by 25%. Moreover, I played a role in converting existing modules to use the Oculus Rift hand-tracking technology. Additionally, my proactive approach to fostering cross-functional collaboration resulted in the successful implementation of development tools, culminating in a remarkable 30% improvement in overall efficiency.

Achievements:
• Engineered 5+ modules using C# and Unity for carpal tunnel patients, resulting in a 25% increase in treatment efficacy
• Designed new functionality for Oculus Rift hand-tracking technology, facilitating iterative prototyping on existing modules
• Initiated cross-functional collaboration to implement development tools, leading to a 30% improvement in efficiency
• Implemented advanced shader techniques in Unity to enhance visual fidelity and performance in virtual reality simulations, resulting in a 15% reduction in rendering overhead.

### Coding Instructor @ Whizara
Jan 2020 – Jan 2020 | San Jose, California, United States
As a Coding Instructor, I undertook the responsibility of nurturing the next generation of programmers by delivering comprehensive instruction in programming languages to students ranging from Kindergarten to 8th grade. Through engaging remote sessions, I aimed to instill foundational coding concepts and foster a passion for technology in young learners.

Responsibilities:
• Instructed a cohort of 12 students ranging from Kindergarten to 8th grade in the fundamentals of programming languages, specifically focusing on Scratch and Python, within a remote instructional setting.

• Delivered structured lessons encompassing algorithmic thinking and programming concepts tailored to the cognitive abilities of each age group, fostering a deep understanding of coding principles.

• Designed and administered 6 comprehensive assignments, providing hands-on guidance and technical support to students, facilitating the accumulation of skills necessary for the development of complex personal projects.

### Growth Intern @ Poshmark
Jan 2019 – Jan 2019 | Redwood City, California
As a member of the Growth Marketing Team at Poshmark, I played a pivotal role in the strategic deployment and optimization of advertising campaigns, leveraging data-driven insights to drive user acquisition and engagement. My responsibilities encompassed monitoring and fine-tuning advertisements across various platforms to maximize user impressions and drive downloads to the mobile application. Additionally, I contributed to the development of scalable data infrastructure, empowering colleagues with streamlined access to critical advertising data for informed decision-making.


Achievements:
• Launched 8 distinct ad campaigns spanning Snapchat, Instagram, and Facebook, generating over 5 million impressions nationwide.
• Spearheaded the enhancement of data infrastructure, ensuring scalability through the development of a Google Apps Script in JavaScript.
• Implemented a new function within Google Sheets, optimizing usability and efficiency across 30+ data tables
• Conducted rigorous monitoring and analysis of data from 50+ ads, culminating in the creation of 12 dashboard visualizations to refine and optimize marketing campaigns

• Led a cross-functional team of 6 interns in devising a comprehensive market expansion strategy for the introduction of Jerseys to the platform, aligning with company objectives and growth targets, resulting in a 25% increase in market penetration
• Orchestrated collaborative ideation sessions and strategic planning meetings to develop a robust launch plan, leveraging market research and data analytics to inform decision-making, leading to a 30% increase in user engagement with the new product category
• Featured in a prominent advertisement for the "Back to School" market, contributing to a 50% increase in brand visibility and a 20% rise in user acquisition during the campaign period

### Project Intern @ Smilefish
Jan 2018 – Jan 2019 | Irvine
Worked on SmileStein, an online learning platform for students to develop their knowledge and skills in math and science and allow parents and teachers to track progress.

Responsibilities:
- Developing educational Gameplay and game mechanics
- Designing level and map/progression for students

### Unity Developer @ Virtual Reality @ UCI
Jan 2018 – Jan 2019
• Develop Virtual Reality projects throughout the school year
• Teach new members how to use Unity and create their own projects
• Help set up VR Arcades during the quarter to showcase current VR projects and new games in the VR market


## Education
### Master of Science - MS in Computer Science
University of Southern California

### Bachelor of Science - BS in Computer Science
UC Irvine


## Contact & Social
- LinkedIn: https://linkedin.com/in/derekhuynguyen

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Source: https://flows.cv/dereknguyen
JSON Resume: https://flows.cv/dereknguyen/resume.json
Last updated: 2026-04-10