I am a data-driven problem solver with a passion for GenAI and Recommendation Systems. I hold a Master’s in Electrical Engineering from New York University, where I specialized in High-Performance Machine Learning, Generative AI, Big Data, and Wireless Communications. I graduated with distinction in 2023 with a B.Tech in Electronics and Communication Engineering from VIT University.

I am passionate about Generative AI techniques that blend domain expertise with deep learning. I enjoy experimenting with Retrieval-Augmented Generation (RAG) to bridge the gap between static AI models and dynamic, real-world data sources. My work also spans Recommendation Systems, Distributed Deep Learning, and probabilistic models.

I am part of NYU WIRELESS at NYU Tandon where I was advised by Prof. Sundeep Rangan to work on developing advanced machine learning models for sub-6G channel estimation. I have also worked at Johnson & Johnson, ISRO and Indian Oil Corporation Ltd. which gave me hands-on experience in wireless communications, quantum key distribution, AI/ML, network security and handling large volumes of data.

I am interested in exploring roles involving Data Science, Big Data Analytics, GenAI and Recommendation Systems.

• 🌱 I’m currently working on: Recommendation Systems and multi-modal data fusion.

• 🔭 I’m researching: Advanced Retrieval methods and Distributed Deep Learning.

• 🔗 Visit me on LinkedIn to connect

Education:

• M.S. in Electrical Engineering (New York University)
• B.Tech. in Electronics & Communication Engineering (VIT University)

Languages:

• English (Fluent)
• Hindi (Fluent)
• Gujarati (Native Speaker)
• Spanish (Intermediate)

Check out my repositories for exciting projects and my latest work in data science, machine learning, and wireless communications!

Let’s connect!!