Ritik V.

I am a Machine Learning & Deep Learning Engineer with strong experience in building real-world AI solutions. Over the years, I’ve worked extensively on NLP models, Transformer architectures, GANs, GPT-style language models, and advanced data analysis pipelines. My journey began in school, where I first discovered programming, and since then I’ve continuously expanded my skills through hands-on projects — from face generators and gender style transfer models to LLM-based text generation, Hugging Face pipelines, and customer churn prediction systems. I have practical expertise with Python, scientific libraries like NumPy & Pandas, ML/DL frameworks such as PyTorch, TensorFlow, Keras, and NLP tools like Hugging Face Transformers. I also enjoy building clean and interactive front-end experiences using JavaScript, React, and Vite, as seen in my personal portfolio project. My focus is on turning complex data and models into efficient, production-ready solutions, with an emphasis on clarity, modular design, and real-world impact.