Previous Affiliations: AMD, Google, ETH Zürich, German Research Center for AI, and Universität des Saarlandes.
I train LLM & VLMs for various ML tasks such as Multimodal Question Answering, Cross-modal Retrieval, Dense Image Captioning, Machine Comprehension & Reasoning.
Request Résumé/CVM. S in Data Science & AI, 2023
Universität des Saarlandes & ETH Zürich
B. Eng. in Computer Science, 2017
Visvesvaraya Technological University
I AM proficient in THE FOLLOWING technologies/frameworks
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