Biswanath Barik
Sangavi Apartment, 47, 2nd Cross, Gangothri Layout, Ayyappanagar, Bangalore
Summary
Innovative Lead Scientist at GE Vernova, skilled in natural language processing and machine learning. Achieved significant cost optimization through automated workflows, enhancing decision-making speed. Passionate about leveraging AI tools and fostering collaboration to drive impactful solutions in data analytics.
Overview
1
1
Certification
21
21
years of professional experience
Work History
Lead Scientist - Natural Language & Data
GE Vernova Advance Research Centre
Bangalore
03.2019 - Current
- Developed innovative solutions using power-domain textual data analytics to extract actionable insights.
- Built rapid access capabilities for factual information through modern NLP and LLM-based methods.
- Enabled authorities to conduct swift assessments of extensive operational data, enhancing monitoring and reporting efficiency.
- Contributed to cost optimization by automating workflows, improving decision-making speed and accuracy.
Research Fellow
Norwegian University of Science and Technology
Norway
08.2015 - 02.2019
- Developed techniques for climate event detection and causality extraction, identifying relationships among environmental phenomena.
- Applied scientific literature mining and knowledge discovery methods to reveal new climate insights.
- Contributed to EU FP7 project by enabling causal reasoning and enhancing climate knowledge exploration.
System Engineer
Tata Consultancy Services
Kolkata
05.2013 - 07.2015
- Developed domain ontologies by extracting entities and semantic relationships from diverse public knowledge sources.
- Performed knowledge validation, structuring, and storage to build reliable domain-specific knowledge bases.
- Enabled automated decision-making and intelligent reasoning through effective knowledge exploitation frameworks.
Project Officer
IIT Kharagpur
08.2007 - 04.2013
- Contributed to Indian language machine translation systems through collaborations with IITs, IISc, CDACs, and IIITs.
- Developed modules for language understanding and generation to enhance multilingual translation capabilities.
- Managed corpus creation, annotation, model training, and evaluation to improve translation accuracy.
- Supported system integration testing and deployment of scalable machine translation solutions.
Lecturer
Mallabhum Institute of Technology
Bishnupur
06.2005 - 07.2007
- Delivered undergraduate CSE and IT curriculum courses emphasizing theoretical concepts and practical applications.
- Conducted laboratory sessions and evaluations to improve student learning outcomes.
- Guided student projects and technical activities to foster hands-on skills development.
Education
Master of Science - Computer Science & Engineering
Indian Institute of Technology Kharagpur
India04-2013
Bachelor of Technology - Information Technology
University of Kalyani
India06-2003
Skills
- Natural language processing with BERT and Transformers
- Machine learning with Scikit-learn and TensorFlow
- Deep learning with Keras and PyTorch
- Generative models: GPT, Gemini, Claude, Llama, Ollama
- AI tools: OpenAI, LangChain, LangGraph
- Data analysis with Pandas and NumPy
- Data validation with Pydantic
- Cloud computing with AWS
- Version control with Git
- CI/CD practices and API testing
- Web frameworks: Flask and FastAPI
- Search optimization with FAISS and Apache Solr
- Python and Java programming
Accomplishments
- 2nd Position, SemEval 2018 Task 8: SecureNLP
- 3rd Position, Relation Extraction Sub-task of SemEval-2017 Task 10 : ScienceIE, 2017
- Research Grant, Research fellowship (RF) by Norwegian Research Council, 2015 - 2018
- Best Paper, At the TCS Technical Architects' Conference Series on Analytical Re-imagination, 2015
- Runner-up, In Data Analytics Challenge at TACTICS Conference on Next Frontiers for IoT, 2015
- First Prize, In NLP tool Contest: Anaphora Resolution in Indian Languages, ICON, Chennai, 2011
Publications
- Biswanath Barik and Björn Gambäck, Causal Relation Identification In Complex Event Structures Using Convolutional Neural Networks, Third International Workshop on SCIentific DOCument Analysis (SCIDOCA), Japan, 2018
- Utpal Kumar Sikdar, Biswanath Barik, and Björn Gambäck, Named Entity Recognition on Code-Switched Data using Conditional Random Fields, In Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching (CALCS), Association for Computational Linguistics (ACL), 2018
- Biswanath Barik, Utpal Kumar Sikdar, Björn Gambäck, NTNU at SemEval-2018 Task 7: Classifier Ensembling for Semantic Relation Identification and Classification in Scientific Papers, In Proceedings of the 12th International Workshop on Semantic Evaluation, 2018
- Utpal Kumar Sikdar, Biswanath Barik, Björn Gambäck, Flytxt_NTNU at SemEval-2018 Task 8: Identifying and Classifying Malware Text Using Conditional Random Fields and Naïve Bayes Classifiers, In Proceedings of the 12th International Workshop on Semantic Evaluation, 2018
- Biswanath Barik and Erwin Marsi, NTNU-2 at SemEval-2017 Task 10: Identifying synonym and hyponym relations among keyphrases in scientific documents, In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pp 965-968, 2017
- Erwin Marsi, Utpal Kumar Sikdar, Cristina Marco, Biswanath Barik, and Rune Sætre, NTNU-1@ScienceIE at SemEval-2017 Task 10: Identifying and Labelling Keyphrases with Conditional Random Fields, In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pp 938-941
- Biswanath Barik, Erwin Marsi, Pinar Öztürk, Extracting causal relations among complex events in natural science literature, In International Conference on Applications of Natural Language to Information Systems, pp 131-137, 2017, Springer
- Biswanath Barik, Erwin Marsi, Pinar Öztürk, Event causality extraction from natural science literature, In Research in Computing Science, pp. 97-107, 2016
- Priyanka Sinha and Biswanath Barik, Named entity extraction and linking in Microposts, In Making Sense of Microposts (#Microposts2015)
- Tanushyam Chattopadhyay, Snehasis Banerjee, Santa Maiti, Sounak Dey, Dinyanshu Jaiswal and Biswanath Barik, Way to make ourselves redundant: A Semantic Framework for Automated Workflow Generation for IoT, In TACTiCS TCS Technical Architects' Conference, 2015
- Biswanath Barik and Sudeshna Sarkar, Handling Plurality in Bengali Noun Phrases, In Proceedings of the 11th International Conference on Natural Language Processing, pp. 295-304, 2014
- Biswanath Barik and Sudeshna Sarkar, Pattern based pruning of morphological alternatives of Bengali wordforms, In International Conference on Advances in Computing, Communications and Informatics, pp. 1724-1730, 2014
- Sanjay Chatterji, Nabanita Datta, Arnab Dhar, Biswanath Barik, Sudeshna Sarkar, and Anupam Basu, Repairing Bengali Verb Chunks for Improved Bengali to Hindi Machine Translation, In Proceedings of 24th International Conference on Computational Linguistics (COLING), 2012
- Sanjay Chatterji, Arnab Dhar, Biswanath Barik, Sudeshna Sarkar, and Anupam Basu, Anaphora resolution for Bengali, Hindi, and Tamil using random tree algorithm in Weka, In Proceedings of the International Conference on Natural Language Processing, 2011.
- Sibanshu Mukhopadhyay, Biswanath Barik, and Sudeshna Sarkar, Problems of Transfer Grammar: The Hindi Postpositional Correlatives in Bangla, In Proceedings of 6th International Conference on Natural Language Processing (ICON), 2008.
Technical Reports
- 2016, Deliverable D1.5: Source Code and Interface of LKDB Software, Erwin Marsi, Pinar Öztürk, In Norwegian University of Science and Technology (NTNU), https://ntnuopen.ntnu.no/ntnu-xmlui/handle/11250/2432666
- 2013, Performance Enhancement of Bengali-Hindi Machine Translation through Syntactic Analysis Refinement, MS Thesis, Indian Institute of Technology Kharagpur
Certification
- The Complete Agent & MCP Course by Udemy (online) - 2026
- Completed Prompt Engineering certification by Blockchain community (online), 2025
- Technical & Business Presentation Skill Development at GE Industrial India Pvt. Ltd., 2019
- International Summer School of Deep Learning, 2017, GRLMC, Bilbao, Spain
- Modular Course on Data Mining, 2015, IIT Kharagpur
- Summer School on NLP and Text Mining, 2008, IIT Kharagpur
Timeline
Lead Scientist - Natural Language & Data
GE Vernova Advance Research Centre
03.2019 - Current
Research Fellow
Norwegian University of Science and Technology
08.2015 - 02.2019
System Engineer
Tata Consultancy Services
05.2013 - 07.2015
Project Officer
IIT Kharagpur
08.2007 - 04.2013
Lecturer
Mallabhum Institute of Technology
06.2005 - 07.2007
Master of Science - Computer Science & Engineering
Indian Institute of Technology Kharagpur
Bachelor of Technology - Information Technology
University of Kalyani