MACHINE LEARNING ENGINEER
I started my tech journey as a Full Stack Developer. Currently, I build ML/AI models and have been doing that for the past 4 years. My exploration of the AI domain has given me experience in areas such as Computer Vision, Adversarial Networks, Model Optimization, and more.
In my free time, I read and study extensively about Natural Language Processing, with the goal of contributing to low-resource languages. My end goal is to join an AI lab where I can contribute to meaningful research.
The purpose of this portfolio is not to provide an exhaustive list of frameworks and tools I have utilized, but rather to showcase a curated selection of projects I have completed. For everyone interested in a comprehensive catalogue of all my previous projects or tools, kindly visit my GitHub.
Proficiencies
Relevant Skills
Machine Learning
My experience spans the entire end-to-end ML lifecycle, from understanding the problem domain, data gathering and cleaning, to model development, training, tuning, and deployment.
Deep Learning
Broad understanding of various aspects of deep learning, including convolutional and recurrent neural networks, generative AI, transfer learning, natural language processing, and more.
Data Analysis
I specialize in extracting insights from complex data sets, utilizing statistical techniques and algorithms to analyze trends, make predictions, and inform decision-making processes.
