Sourabh Poddar

Design, development and deployment of Data analysis and NLP solutions. Worked on chatbot applications, Question-Answering systems, Knowledge graph embeddings, word embeddings, semantic web, elastic search. Proposed and implemented a novel exact KNN search algorithm for high dimensional datasets to overcome the "Curse of Dimensionality", as a part of my Master's thesis. Paper to be published soon.

Benchmark the performance of state-of-the-art approximate KNN search algorithms for different word and knowledge embedding models. Design and development of IDA-Intelligent data assistant, a Spring boot based chatbot application based on rest API calls. Delivered an API solution to fetch KG embeddings of entities and relation for different embedding models based on elastic search.

Designed and implement a framework for Question-Answering systems called PORQUE with modular components for individual tasks like NED, relationship linking, query building based on Qanary Framework. Work to be published soon. Different components of the PORQUE, uses an RDF vocabulary and a triple store proposed by Qanary to communicate. Configured docker deployment and CI using GitHub action from scratch for several projects.

Worked with various NLP, machine learning and data visualization tools like Pandas, NumPy, Scikit Learn, SciPy, Pytorch, Matplotlib, Keras, TensorFlow, Seaborn, Spacy & Transformers. Expertise in deployment and code maintenance tools like Docker, GitHub, GitHub Actions. Implemented frontend solution for visualization dashboard for IDA using D3.js and vega lite. Languages and tools: Python, Java, React JS, ReactD3, Github, docker, Jenkins, Google Cloud platform applications.

Worked as a student assistant under the Department of Computer Graphics, Visualization and Image Processing. • Visualization of IEEE SciVis Contest Data on python to create assignment for Master's student in Visualization course. • Pre-processing of the data sets obtained for beginners in data visualization course. • Creating assignments in Python for students in order to assess key skills required in Data visualization. • Worked with python libraries like Matplotlib, Pandas, SciPy, Numpy.