Designed novel semi-supervised learning framework for advanced driver-assistance systems (ADAS) to automate object detection labeling. Resulted in 20% improvement in…
Automated segmentation of old TV Broadcast recordings using multi-modal deep learning. Enabled 15x efficiency through multi-threading and array jobs on a largescale HPC GPU…
Created course slides, practical python workbooks and automated labs for the Data Analytics and Image Processing and Computer Vision courses. Improved understanding of…
Researched Markov Chain-based stochastic models to reduce 802.11 WiFi router packet collisions, enhancing throughput. Verified results through NetSim and QualNet simulations.
Managed event communication and sponsorship, facilitating valuable industry connections.
Developed and taught four-week curriculum for the course ‘Introduction to Machine Learning’ and held a two-day workshop on ‘Neural Networks from Scratch’ for 100…
This project is a fully scalable end-to-end abstractive summarizer built on the state of the art PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive…
This is a small NLP project which uses sentiment analysis and machine learning to classify words into positive or negative connotations. This project is a part of the final…
By utilizing google’s DialogFlow, I built a simple chatbot system that can detect intents and reply based on the category identified. I integrated this chatbot to Facebook…
