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