I'm a recent MS in CS grad from @NYU Courant. My interests include LLMs, NLP, Computer Vision and software engineering. Love all things coding and programming.
I am actively seeking 2024 New Grad roles that align with my passion and expertise. If you believe that my skills and experience align with your organization,feel free to reach out to me.
Some of my previous work experience & projects are listed below!
Engineered a comprehensive end-to-end ML pipeline for neural-style transfer, resulting in a 40% enhancement in image quality.
Established iNAND validation framework by introducing third-party vendor controller support alongside restructuring legacy code for a 30% reduction in complexity and transition to a modern architecture.
Led a team of three students to create and implement a Multi-object Tracking system encompassing real-time object detection, tagging, and tracking for live player tracking during sports events.
Big Data Analysis of NYC Fire Incident data to analyze casual relationship between fires, govt. inspections, socio-ecnomic factors and enviroment. Used Hadoop MapReduce for data pre-processing, Trino for complex queries and Tableau for visualizations and interactive dashboards
Developed an end-to-end comprehensive DeepFake detector for face images with deployment on GKE for scalability and effeciency.
Predicting the segmentation mask of the 22nd video frame given the first 11 video frames using an encoder decoder based ConvLSTM and Unet Model.
A comprehensive comparative analysis of CUDA and OpenMP on the basis of their programmability, scalability, performance and overheads
Used various deep learning model to identify partitive nouns for semantic role labelling in NomBank Dataset.
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