As a Machine Learning Engineer, I thrive on building intelligent systems that tackle complex, real-world challenges. My work spans from developing advanced computer vision models for scientific research—such as classifying gravitational lenses with PyTorch—to engineering sophisticated AI agents using Retrieval-Augmented Generation (RAG) and Large Language Models.
I'm also passionate about robust backend development and have experience creating scalable RESTful APIs with Django and DRF. My commitment to the field extends to the open-source community, where I've contributed to the aeon toolkit for time series analysis. I'm always eager to explore new frontiers in AI and apply my skills to create impactful solutions.
A modular framework for Retrieval-Augmented Generation AI agents, featuring specialized prompting systems and leveraging modern LLMs for enhanced information retrieval.
PyTorch Transformers LangChain LLM
Applied deep learning to a scientific challenge by building a multi-class image classification model with CNNs to identify gravitational lensing in astronomical images.
PyTorch CNN AWS DeepLens Computer Vision
Developed a feature-rich RESTful API for an e-commerce platform, complete with JWT authentication, role-based access, and order processing capabilities.