Bhushan Kotnis
Angestellt, Research Fellow, Universität Heidelberg
Heidelberg, Deutschland
Werdegang
Berufserfahrung von Bhushan Kotnis
Bis heute 7 Jahre und 7 Monate, seit Nov. 2016
Research Fellow
Universität Heidelberg
As a Research Fellow at Heidelberg University, I work on bleeding edge research problems in natural language understanding. More specifically, I work on question answering, knowledge graph completion, link prediction. This involves actively contributing to research design, coding prototypes, experimentation and writing research papers.
Bis heute 9 Jahre und 5 Monate, seit Jan. 2015
Research assistant
Machine and Language Learning Lab (MALL), Indian Institute of Science, Bangalore
I formulated algorithms to address sparsity in Linguistic Knowledge Graphs (KG). We use link prediction algorithms that leverage an external text corpus for inferring relations (edges) across normalized entities (vertices). The hope is that Inferring links with high precision will densify the KG eventually making it useful for industrial applications. Research Areas : machine learning, natural language processing
3 Monate, Jan. 2016 - März 2016
Research Intern
BloomReach
Helped BloomReach learn linguistic relations between product queries such as "product accessory of product" using large query data. I used word embeddings and deep learning for implementing an algorithm which classifies weather a phrase (product title) is related to another phrase (product title) through a given relation (accessory of). This data enables the BloomReach recommendation engine to recommend product accessories, replacement parts, etc after a purchase.
1 Jahr und 1 Monat, Jan. 2010 - Jan. 2011
Software Developer
Fast Technology
Engineered a solution to extract data from a legacy Insurance Lifecycle data model and migrate it to a new Lifecycle data model. Challenge involved modifying a code generator to generate the required code.
Ausbildung von Bhushan Kotnis
5 Jahre und 2 Monate, Aug. 2011 - Sep. 2016
PhD
Indian Institute of Science, Bangalore
My thesis is primarily focused on studying cascades in complex networks, and developing algorithms for running cost effective information campaigns on social networks. Research Areas : social networks, percolation theory, mathematical modeling, multi agent simulation, optimization.
2 Jahre und 6 Monate, Aug. 2007 - Jan. 2010
Electrical and Computer Engineering
Rutgers, The State University of New Jersey
4 Jahre und 2 Monate, Juli 2003 - Aug. 2007
Electrical engineering
University of Mumbai
Sprachen
Englisch
Fließend
Deutsch
Grundlagen