Hi, I'm Leandro Alvarez, a senior CS Student and current resident at Headstarter AI. I have a strong background in both Fullstack and AI/ML development, with experience in building and deploying predictive models, neural networks, agentic workflows with RAG and fullstack applications. I am passionate about using technology to solve real-world problems and am always looking for new opportunities to learn and grow. I am currently seeking full-time opportunities in the field of AI/ML and Fullstack development.
Projects
Brain Tumor Deep Learning Classification
Created neural networks to classify 1000 MRI scans into 3 types of possible brain diseases with custom model.
Achieved 98% accuracy with custom CNN model and 100% accuracy with Transfer learning Xcept model.
Deployed streamlit app enabling users to upload brain scan images and receive diagnosis with integrated LLM explanation.
Skills: TensorFlow, Keras, Gemini, Streamlit, Render
Customer Churn Prediction
Achieved 95% accuracy in a bank customer churn predictive model.
Built and Deployed a Streamlit web app that allows admins to look at customer data and churn probability. The app
explains why they are at risk or not and creates a personalized email through the use of LLMs.
Scikit-learn, Llama 3.1, Kaggle, streamlit, render
AI Flashcard app
A web app for creating, adding, and studying flashcards. Users can also generate flashcards through AI and organize them into decks. Advanced features, such as AI-generated flashcards, are available behind a subscription paywall.
Skills:NextJS, React, Firebase, Material UI, Stripe, ClerkJS
Rate My Professor RAG ChatBot
AI-powered RAG chatbot for Rate My Professor. It integrates web-scraped data into a Pinecone knowledge base. Added functionality for users to submit URLs, automatically scraping and updating the knowledge base with relevant information.
Skills: NextJS, Material UI, Pinecone, Puppeteer, OpenAI, Embeddings, Vectors
Recent Work Experience
Software Engineer Resident
Work in a team to build 9 advanced AI and machine learning projects, including real-time voice
assistants and develop 7
full-stack projects, including clones of platforms like Discord and Vercel, leveraging cloud services,
Docker, Kubernetes, and deep learning for tasks such as stock price prediction and image classification.
Software Engineer TA Intern
Guided and mentored 10 students in a 15-week intensive Full-stack development bootcamp, helping them develop technical skills and complete projects in web development and software engineering.
Mastered and applied Python, Django, JavaScript, React and PostgreSQLto drive successful end-to-end project development, including backend APIs and responsive frontend interfaces.
Get In Touch
Feel free to contact me if you're interested in collaborating or
learning more about my work. I'm always open to discussing new projects,
creative ideas, or ways to contribute to your team. I look forward to connecting
with you!
