Srijoni Majumdar — AI Researcher

I am a computer science engineer with 10 years of experience (industry and academia) in various technologies and architectures including business intelligence, oracle, and DB2 query systems, SAP Data Warehouses, Machine learning, and Natural Language Processing. I currently work in the area of application of machine learning and natural language processing techniques on software code to automate software engineering tasks. I am aware of the end to end AI ops stack (including natural language processing (NLP)) and work regularly with deep neural networks and transformer architectures, hence am keen to apply to data from any domain. Source code for all the tools developed can be found in https://github.com/SMARTKT I regularly write on various architectures related to ML and NLP in my medium blog https://majumdarsrijoni.medium.com/ Details about my research and industry experience can be looked from my website - https://sites.google.com/site/srijonicse/srijoni-majumdar My Vision: According to a recent report, AI is equipped to handle many of the major post-covid global crises related to climate change, bio-diversity loss, natural resource scarcity, cyber security failure, infectious disease spread, and the like. AI would help to discover knowledge which would help discover patterns and anomalies that can help in better strategies and decision-making processes and thus aid in mitigating the global risks. AI needs to be used as a tool to infer knowledge from unstructured data based on any domain for predicting useful directions and patterns that can subsequently aid in reducing factors contributing to the various global crises. My aim is to work towards developing frameworks that bridge the gap and comprehend the information encoded in the unstructured data. In my doctoral study, I have been trained to extract and infer knowledge from semi-structured data and subsequently use the knowledge to automate analysis, search, and prediction tasks based on the data, which I want to extend for various domains. Furthermore, in the process of effectively organising knowledge, I have formulated various ontologies and employed various vector space representations to interpret natural language texts, that can help to include analysis on multi-modal data.

Stackforce AI infers this person is a Machine Learning and Data Engineering expert in Fintech and AI-driven solutions.

Location: Leeds, England, United Kingdom

Experience: 7 yrs 2 mos