Hi there, I'm Jennifer Turliuk, a technology professional with a passion for both software development and prompt engineering. My vision is to create innovative and effective AI solutions that reduce climate change. I believe in pushing the boundaries of natural language processing, machine learning, and deep learning algorithms to create cutting-edge AI applications that positively impact society and transform industries. With my problem-solving, analytical, and critical thinking skills, I aim to contribute to the success of projects by innovating and optimizing AI solutions. As a leader and collaborator, I strive to inspire and motivate others to achieve their full potential and make a meaningful difference in the world of technology. During my career, I've developed expertise in programming, natural language processing, and AI design, with proficiency in Python, Flask, Django, JavaScript, Node, React, TypeScript, NextJS, HTML, and CSS. I also have experience with machine learning and deep learning algorithms, with proficiency in PyTorch and other AI frameworks. In addition, I have experience with APIs and tools such as OpenAI/GPT3, Google Cloud Natural Language, Hugging Face Transformers, and other NLP libraries. I'm also familiar with cloud platforms such as AWS, and I'm proficient with GitHub, Heroku, Git, Visual Studio Code, and Google Colab. In my free time, I enjoy angel investing, attending industry conferences and workshops, volunteering for STEM education initiatives, and writing non-fiction, musicals, comedy, and plays. If you're interested in working with me or collaborating on a project, please don't hesitate to get in touch! You can reach me at jenn.turliuk@gmail.com or through my Github profile at https://github.com/jtwirly.
Developed AI tools for climate startups with MIT professor for MIT’s climate entrepreneurship class and beyond. These tools leverage advanced AI capabilities to assist startups in climate policy analysis, market analysis, scoring business potential, and identifying high-impact opportunities. Managed the project from ideation through development, securing backing from MIT and engaging with stakeholders to ensure relevance and efficacy.
DemosDeveloped a climate tech hardware kit and educational course with 20 projects to empower users to learn and invent climate solutions. The course includes detailed guides and materials to help users understand and tackle various climate-related challenges through hands-on projects.
DemoCreated an AI-powered forecasting model to predict electricity demand using historical data, Pandas, Scikit-Learn, GPT, Azure, and other technologies. This model helps in optimizing energy usage and planning by providing accurate demand forecasts based on historical trends and patterns.
Developed LessonWiseAI, an AI-powered lesson plan and resource generator to assist educators in creating customized lesson plans and educational resources. Utilized natural language processing and machine learning techniques to generate content that aligns with curriculum standards and educational objectives.
Built a dynamic, server-backed learning management system (LMS) to support educational initiatives. The LMS features user management, course creation, progress tracking, and interactive learning tools, providing a comprehensive platform for educators and students.
Developed an AI-driven encouragement application, EncourageBot, to provide positive encouragement to users on any topic they would like to be encouraged about. Implemented content moderation techniques to filter out inappropriate or offensive content in user queries and ensure safe responses for users. Worked with OpenAI’s text moderation API. Utilized OpenAI's GPT-3 model for generating high-quality encouragement while maintaining a kind, ethical, and friendly tone. Deployed the application on Heroku and integrated with GitHub for streamlined updates and version control. Enabled user interaction through a simple web interface, providing seamless access to the encouragement-generating AI.
GitHub | DemoCreated an interactive web application for a client, using OpenAI GPT-3 to provide customized fortunes to users. Built using React.js and Next.js, allowing for fast and responsive user experience. Integrated with external APIs to provide users with personalized information such as local time. Deployed the app on Heroku for easy client access and use.
DemoDeveloped an AI-based chatbot system to facilitate Python coding learning for beginners. Utilized PyTorch and natural language processing techniques to enhance the chatbot's understanding of user inputs. Built a dataframe using Kaggle datasets of coding problems and solutions from open-source coding repositories. Trained a machine learning model to identify coding problems and provide personalized feedback. Utilized natural language processing to improve the system's understanding of student inputs. Conducted testing and evaluation to ensure the system's effectiveness and accuracy.
GitHubBuilt an advice platform using OpenAI's GPT-3 to provide personalized responses to user inquiries. Conducted testing and prompt engineering to ensure quality and accuracy of advice. Developed a custom UI with a form interface to enhance user experience and engagement. Successfully deployed the platform and continually monitor and update the model to improve performance and user satisfaction.
GitHub | DemoCreated a web application for sentiment analysis using React. Integrated a third-party API (Google Cloud Natural Language) for AI-powered sentiment analysis of user-provided text. Designed and implemented a basic responsive and visually appealing user interface. Successfully launched the app on a public server and obtained positive user feedback. Developed a solution that positively impacts users' lives.
GitHub | DemoIf you would like to get in touch, feel free to reach out through any of the following channels: