Jonathon Johnson

SFT/RLHF Annotator

Translated•  June 2024 - Present

● Annotated 880+ SFT prompts, ensuring accurate, complete, and contextually helpful Markdown-formatted responses ● Reviewed over 970 SFT responses, refining them for correctness, clarity, and overall quality to enhance model performance ● Conducted ~70 RLHF annotations, ranking response helpfulness and providing detailed recommendations for improvement ● Ensured the use of reliable sources, adhering to best practices in information verification ● Advanced skills: RLHF, SFT, Data Labeling, Model Evaluation, Information Retrieval, Markdown, LLMs, NLP, Ethical AI Practices

Web Development Intern

Wight Capital Media•  June 2024 - November 2024•  United States, Remote

● Developed 8 custom websites from scratch for water filtration/softening & roofing clients with Elementor Pro, WPBakery, and PHP-based WordPress, integrating reCAPTCHA v2/v3, Google Analytics, and SMTP for enhanced functionality & security ● Updated and created pages for 10 other sites (e.g., service/product pages, FAQs, "Areas We Serve") per client specifications, utilizing plugins like Contact Form 7 and Easy Accordion for forms and dynamic content ● Improved SEO performance across client sites by implementing AIOSEO and Yoast SEO plugins, optimizing keywords, meta tags, and page structures to boost search rankings ● Enhanced visual appeal with client-provided and relevant stock images, ensuring alignment with branding & marketing goals ● Optimized mobile and tablet responsiveness to ensure seamless user experiences across all devices ● Advanced skills: WordPress/PHP, AIOSEO/Yoast SEO Plugins, Web Dev, ChatGPT, Adobe Stock, Contact Form 7, Easy Accordion

AI/ML Intern

Vitel Global•  December 2023 - August 2024•  South Plainfield, NJ, Remote

● Collaborated with a project team on VoIP, digital marketing, and AI data science initiatives using version control on GitHub ● Contributed to developing a data pipeline for a Hugging Face Text-to-Video (T2V) model, generating first-iteration videos for AI and marketing applications ● Conducted competitive analysis of T2V services, identifying strengths, weaknesses, and business strategies of competitors ● Resolved project issues through effective daily communication and AGILE methodologies to ensure timely deliverable ● Built an MS Power BI dashboard to track company KPIs, utilizing DAX and data transformations to ensure 100% accuracy ● Supported a process improvement project to automate cold lead generation with ZoomInfo using web scraping with Python and Selenium library, improving lead quality, response rates, and alignment with sales strategies ● Advanced skills: Python, Jupyter Notebook, Google Colab, VSCode, Web Scraping, T2V, GenAI, LLM, MS Power BI, Postman

AI/LLM Trainer (Data Science Expert)

Remotasks•  January 2024 - May 2024•  United States, Remote

● Fine-tuned AI/LLM bot to more accurately respond to prompts written within the Data Science and Mathematics domains ● Wrote or reviewed over 200 prompts or “prompt+image” pairs accurately, taking into account completeness, details, specifics, system instructions, format/presentation, and other relevant factors ● Reviewed prompts from other users submitted to the platform, as well as bot responses, to further ensure quality and accuracy ● Advanced skills: Prompt & ”Prompt+Image” Writing / Reviewing, LLM Fine-tuning, Data Science, Math, CSV, JSON, Markdown

Full Stack Software Engineer

MoneFi•  August 2023 - October 2023•  Los Angeles, CA, Remote

MoneFi – User-friendly platform with AI-driven borrower-lender matching, intuitive loan request/application process, Education Hub for educational resources, and cross-border payment functionality ● Debugged/fixed various issues within the MoneFi (v2) app, adhering to industry best practices and coding standards, as well as version control and branch management via Git Bash and GitHub, to boost functionality and improve app performance ● Updated navbar on the main webpage with proper routing and nomenclature, removed unnecessary UI functionalities from various components, fixed the UI look of Course cards for Education Hub, and revamped the UI look of Currency Converter and Transfer components, thus significantly improving the user-friendliness of the app ● Resolved task-related inconsistencies with effective communication among the developer team via AGILE methodologies ● Advanced skills: VSCode & React.js, Visual Studio & ADO.NET / C#, SSMS & T-SQL

Full Stack Software Engineer

Makai Rentals•  December 2022 - April 2023•  Los Angeles, CA, Remote

Makai Rentals - A water sports rental app solution that enables other businesses to start water sports equipment rental service ● Implemented Appointment scheduler/manager for use by business owners and outside businesses/partners, as well as administrative view of the list of users and any associated emergency contacts ● Constructed Bootstrap-based Appointments, Appointment cards, Appointment add / edit forms, and System Administrator View components within React.js to achieve full front-end app functionality with AJAX service calls for user and admin side ● Incorporated SQL database to store data within normalized (3NF) Appointment table with PK-FK relationship to User table and wrote applicable stored procedures in support of API requests and responses ● Developed applicable requests / responses utilizing C#-based ADO.NET framework for RESTful APIs comprised of interconnected models, interfaces, services, and controllers, connecting client-side to server-side ● Resolved app / coding-related issues with constant & effective communication among the developer team via AGILE methodologies, including maintaining proper version control via the use of GitHub / Git-based repository ● Advanced skills: VSCode & React.js (Formik, Yup, React-bootstrap, Rc-pagination, React-datepicker, Moment-timezone, Axios, Prop-types, Toastr, Sweetalert, React-router-dom), Visual Studio & .NET / C#, SSMS & T-SQL

Data Scientist

Equal Access Carriers, Inc.•  January 2022 - April 2022•  Wilmington, NC, Remote

● Led programming development of Phase 1, Data Analytics healthcare project (SaaS) with proper version control via GitHub ● Built medical ontology/knowledge structure & disease probability model to predict the early onset of diseases of patients (based on the aggregate number of patient visits for each potential disease of the patient extracted from CDC data) ● Incorporated explanatory variables describing individual patient symptoms to predict a set of potential diseases for the patient ● Explored credible Big Data sources with synonymous structuring & proper joining of datasets via generated DQ pipeline ● Categorized ~1,780 diseases by symptoms with respective specialists attached for a patient to consult for specific treatment ● Advanced skills: Python (Pandas, Numpy, NetworkX, BeautifulSoup4, Multiprocessing), Jupyter Notebook, VSCode

Business Analyst

FortuneTimes Group•  September 2020 - August 2021•  New York, NY, Remote

● Led business development of Phase 1 Data Analytics project (SaaS) for client within the education industry ● Contributed to automated generation of reports from the client to governmental agencies, assisting in the development of web-based UI, data model/schema to house applicable data, accompanying data dictionaries, and SQL queries to generate final reports ● Managed technical writing tasks, i.e., use case and business requirements documentation with proper version control ● Advanced skills: Data Analytics, Automation, Data Modeling, SQL, Reporting

Engineering Project Lead

United States Navy•  May 2015 - September 2018•  Yokosuka, Kanagawa, Japan

● Managed and assisted in the creation of an Engineering Program for tugboats homeported at the last duty station, creating step-by-step Engineering Operating Procedures (EOPs) and Local Operating Procedures (LOPs) for crucial closed loop systems onboard ● Served as a Surface Warfare Officer with multiple deployments in the East Asia area of responsibility (AOR), ensuring safe navigation of the warship via Bridge Resource Management (BRM) and strict compliance with Rules of the Road (RoR)

Junior Data Analyst

Lawrence Livermore National Laboratory•  May 2014 - July 2014•  Livermore, CA

● Analyzed confidential nuclear weapons test film documentation and created forecasting reports to support the DOE project ● Reviewed over a dozen test shot films frame by frame to determine the product’s nuclear yield most accurately