Advising Institutions: ETH Zürich, Google, German Research Center for AI, and Universität des Saarlandes.
I AM proficient in THE FOLLOWING technologies/frameworks
My research interest spans across Self-supervised Learning, Visual Scene Understanding, and Multimodal Representation Learning.
Request Résumé/CVM. Sc. in Data Science & Artificial Intelligence, 2022
Universität des Saarlandes
B. Eng. in Computer Science & Engineering, 2017
Visvesvaraya Technological University
PROFESSIONAL/ACADEMIC ASSOCIATIONS THAT BOLSTERED MY TECHNICAL & LEADERSHIP PROWESS
Seminars, Conferences & Publications that I have delivered/currently working on
Featured projects spanning across different research areas in Vision, NLP & Data Mining
MQTT Client application to simulate lightweight, publish-subscribe network protocol for IoT/Edge devices.
Socket Programming using Python, TCP & Hashing
Benchmarking FCN, CNN & GCN Classfier with a Custom Prior
Deep Self-supervised Transfer Learning based Sentiment Analysis of COVID19 Tweets
Uncover hidden patterns in the phoneme vector space by performing Pairwise Cosine Similarity, Dimensionality Reduction & Spacial Clustering
Search Engine implemented using Language Models, BM25 (Okapi, Plus) & TF-IDF
Deep neural implementation of a QA system using Knowledge Graphs & Wikipedia Corpus
Implementation of a real-time ROI-based Vehicle Detection and Counting system using OpenCV & YOLO
Devising a reinforcement learning based architecture for robust speech assistants
ACCOMPLISHMENTS THAT BOLSTERED MY ACADEMIC & LEADERSHIP FINESSE
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