About me

Jomiloju King

My name is Jomiloju King (JK). I’m an artificial intelligence enthusiast and computer science student currently pursuing my studies. My passion lies in developing innovative technologies that push the boundaries of what's possible. My journey has led me to explore the intersections of machine learning, natural language processing, and software development.

Through hands-on projects and internships, I've gained valuable experience in crafting artificial intelligence-driven solutions that solve complex problems and enhance user engagement. I thrive on challenges and am constantly seeking new opportunities to learn, grow, and apply my skills to real-world problems. As I continue my studies, my goal is to become a software engineer, where I can contribute to building cutting-edge technologies. I’m also deeply interested in the ethical implications of artificial intelligence, striving to ensure that the technologies I develop are used responsibly and inclusively.

Experience

Below are a few of my experiences

  • Headstarter AI
    Software Engineering Fellow
    • Collaborated with other software engineers to address a startup’s current backlog and build solutions that meet business requirements.
    • Developed and implemented software solutions, contributing to the startup’s growth and operational efficiency.
  • Center for Equitable Artificial Intelligence and Machine Learning Systems (CEAMLS)
    Artificial Intelligence Research Intern
    • Developed AI software prototypes, creating dynamic sports news reports with text and voice generation models using PyTorch.
    • Improved machine learning models for automated data analysis and multilingual report generation, enhancing accuracy and naturalness.
  • Information Technology and Resources
    Student Assistant
    • Addressed academic technology inquiries via email, achieving high satisfaction as measured by surveys.
    • Provided effective support for hardware and software issues, leading to reduced resolution times.
  • Extern - AI Venture Capital Lab
    AI Venture Capital Lab Intern
    • Applied generative AI prompt engineering techniques to innovate research methodologies and enhance deal-sourcing strategies.
    • Conducted in-depth research using platforms like Crunchbase and AI tools such as ChatGPT and Bard.

Projects

Project 1: AI Software Prototypes for Sports News Reports

  • Designed and implemented 5 innovative prototypes for dynamic sports news reports using text and voice generation models with PyTorch
  • Enhanced model performance by increasing accuracy by 20% and improving naturalness by 15%, refining automated data analysis and multilingual report capabilities
  • Produced 3 detailed technical reports outlining project outcomes, including software prototypes and actionable recommendations for future enhancements

Project 2: Research and Deal-Sourcing at igniteXL Ventures

  • Led research on tech innovative startups, utilizing platforms like Crunchbase and AI tools (ChatGPT, Bard) to evaluate and analyze 10 key investment opportunities
  • Applied AI insights to refine deal-sourcing strategies and communication methods, leading to a 25% increase in successful investment pitches
  • Contributed to 4 research papers and technical reports, documenting the integration of AI into research processes and project outcomes to support ongoing and future initiatives

Project 3: Market Lens – Financial Web App for Marshall Wace
Tech Stack: FastAPI, React.js, Yahoo Finance API
September 2024

  • Developed Market Lens, a real-time financial web application that visualized stock data and financial news using a knowledge graph. The app consolidated financial news and stock information from multiple sources into a single, intuitive interface.
  • ntegrated a chatbot with text and voice response capabilities. Users could inquire about investment recommendations, company stock performance (e.g., Tesla or Apple), and receive updates on the S&P 500. The chatbot provided detailed responses, including charts and stock data from Yahoo Finance.
  • Achieved 1st place out of 66 participants for innovation and technical execution in a finance and data-focused track, showcasing exceptional skill in integrating real-time data and user interactivity.