AI/ML
AI and Machine Learning are my primary areas of expertise and interest. I’ve completed college coursework, Coursera specializations, IBM’s AI Engineering Professional Certificate, and a collection of personal projects. My hands-on experience includes training models like logistic regression and random forests, developing and fine-tuning neural networks, and evaluating model performance. I’m especially passionate about Generative AI and creating LLM-powered applications using LangChain, GPT models, and retrieval-augmented generation (RAG). This field truly excites me, and I hope to expand the world of AI/ML for many years to come!
Python
NumPy
TensorFlow
PyTorch
SciKit-Learn
OpenAI
LangChain
Jupyter Notebook
Web Application Development
Intermediate experience building modern web apps with React, Next.js, and Tailwind. I am skilled in UI/UX design, full-stack development, API integration, and Vercel cloud deployment. I’ve also worked with Docker to containerize and deploy applications to cloud environments, such as AWS. Web Applications are a great way to make code accessible and easy to navigate for a wide range of users, and for that I appreciate their immense value.
HTML
CSS
JavaScript
Next.js
React
Tailwind
Docker
AWS
Data Science
Skilled in working with datasets, Data Preprocessing, Exploratory Data Analysis (EDA), Data Visualization, Database Design, querying databases, and collecting data. We live in a data-centric world, and understanding how to work with and analyze data is perhaps just as important as knowing how to read and write code.
SQL
MySQL
PostgreSQL
Supabase
CS Fundamentals
Solid understanding of computer science principles and basic algorithms. Much of my college coursework was geared towards understanding the basics of computer architecture, data structures, algorithms, OOP properties such as classes and polymorphism, and proper documentation/coding standards. I have a well rounded background in C++, and I understand the principles of low and high level coding languages.
C
C++
Java
