- Working on a fun Movie Finder using LLM's. Do check it out!! CineMatch
- ๐ฑ I am volunteering to build Image Classification and Object Detection models to detect plants in the given image, their size etc, so that we can provide users tokens based on that to use in real-life. Help incentivize planting trees.
- Also trying to use satellite 11 band dataset to detect logging routes to detect illegal logging and detect early deforestation and stop it.
- ๐ซ How to reach me: [email protected]
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I hold a Master's degree in Artificial Intelligence from Northeastern University, specializing in Computer Vision, with additional expertise in Natural Language Processing, Machine Learning, Deep Learning, and Reinforcement Learning gained through various projects and professional experiences.
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My journey in the field includes significant roles at leading companies such as Qualcomm and Raysecur Inc. At Qualcomm, I was a vital member of the IoT automation team, contributing to multiple Machine Learning projects. These experiences fueled my passion for Artificial Intelligence, prompting me to pursue advanced studies in the domain.
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During my tenure at Raysecur, I played a pivotal role in developing image classification models leveraging terahertz imaging technology for their flagship product. Additionally, I spearheaded initiatives aimed at streamlining the Machine Learning lifecycle and supporting projects integral to the company's objectives.
- Throughout my career, I've refined my data analysis skills, specializing in data preprocessing and overseeing end-to-end pipelines for various applications, such as sentiment analysis, object detection, segmentation, face recognition, and Generative Adversarial Networks (GANs).
Outside of work, you'll often find me at local bouldering gyms, tackling challenging rock problems to push my limits. I also have a strong passion for budget backpacking and am currently working on a project to revolutionize the travel experience for adventurers on a budget.
I'm as open to making new connections as a freshly opened bag of potato chips!