Kendra Barnts

Aspiring Full Stack Software Engineer with hands-on experience in MERN stack development and Python-based AI/ML systems. Skilled in building scalable web applications, RESTful APIs, and data-driven solutions. Experienced in developing machine learning pipelines and currently expanding expertise in LLM-powered application development. Passionate about creating real-world, user-focused software and continuously improving technical skills.

AI Resume Analyzer (LLM Application) (In Progress)

· Developing a full-stack application using React and Node.js integrating LLM APIs to analyze resumes against job descriptions

· Designing prompt systems to generate structured outputs including match scores, skill gaps, and improvement suggestions

· Implementing PDF parsing and text extraction for processing real-world resume data

· Building responsive UI for real-time feedback and resume optimization

Weather Forecasting ML Pipeline

· Developed a machine learning pipeline using Python for weather prediction and forecasting

· Performed data cleaning, feature engineering, and model validation

· Utilized Pandas for data manipulation and Matplotlib for visualization

· Implemented time-series forecasting models including ARIMA

Fresh Out Food Truck – Full Stack Web Application

· Built a full-stack online ordering platform using MongoDB, Express, React, and Node.js (MERN stack)

· Developed RESTful APIs to manage orders, users, and transactions

· Designed and implemented database schema for efficient data storage and retrieval

· Created responsive user interface to enhance customer experience

· Ensured seamless data flow between frontend and backend components

• Full-Stack Developer Certification-Persevere
• Certificate of Completion Justice Through Code- Columbia University