Bikash Agrawal
Oslo
Summary
Seeking a challenging role in Generative AI and Natural Language Processing (NLP/NLG) where I can leverage 15+ years of expertise in deep learning, Big Data analytics, and cloud platforms (Azure, AWS). Dedicated to driving innovation and creating impactful AI solutions through advanced ML techniques and generative models.
Overview
16
16
years of professional experience
Work History
Head of Research and Development
Simplifai AS
Oslo, Norway
01.2023 - Current
- Generative AI: Building InsuranceGPT.
- Natural Language Processing Research activities and developing production pipeline
- Managed budgets and resources effectively, ensuring all projects were completed on time and within budget constraints.
Machine Learning Mentor
Springboard
San Francisco (Remote)
06.2019 - Current
- Provide personalized guidance in a 1-1 online course, covering data preprocessing, machine learning, deep learning, and DevOps. Tailor instruction, offer hands-on projects, and foster a supportive learning environment to facilitate student growth. Keep abreast of industry advancements and provide career development guidance.
Chief Data Scientist
Simplifai AS
Oslo, Norway
05.2018 - 08.2023
- Spearheading the development of AI-driven data products to streamline operations across diverse sectors, including Banking, Insurance, and Telecom. Expertise includes generating credit risk scores via machine learning for credit card companies and deploying image classification systems using transfer learning and deep learning for car insurance firms. Additionally, proficient in developing Chatbots, Emailbots, and Documentbots leveraging Deep Learning algorithms.
Data Scientist
DNV
Oslo, Norway
10.2016 - 05.2018
- Responsible for designing architecture of big data platform and processing large-scale data for maritime and oil & gas industries.
- Data Ingestion Pipeline for Big Data Platform ( Lambda Architecture) Apache Kafka, Spark, Hadoop, Python
- Windfarm Asset BI for the energy portfolio
Research Fellow
University Of Stavanger
Stavanger, Norway
10.2013 - 09.2016
- Working with Big data technology and developing several algorithm using machine learning approaches to allow user for efficient and scalable cloud platform.
- Technology: Hadoop, HBase, OpenTSDB, Apache Spark, Apache Mesos, Docker, Ambari, Nifi, Kafka
Co-Founder and CTO
Boost AI AS
Stavanger, Norway
04.2016 - 08.2016
- Developed chatbot using deep learning framework Torch and using seq2seq model.
Visiting Research Fellow
Purdue University
West Lafayette, USA
10.2015 - 04.2016
- Implementation of secure deletion of HDFS data.
- Research in cam2 project for resource allocation in the cloud
Back-End Developer
Future Home AS
Stavanger, Norway
07.2013 - 07.2014
- Worked as Back-End Developer to build smart house system which can control all household appliances using web apps.
Web Developer
United Nation, UNRCHCO
Kathmandu, Nepal
08.2010 - 08.2011
- Responsible for designing and programming of the website and also developed various Drupal module.
Software Developer
Pioneer Solutions
Kathmandu, Nepal
08.2008 - 07.2010
- Responsible for building this product that are extensively used in Europe, America, and U.K gas and steel industries. Extensive use of PL-SQL, and huge database. Programming Languages: SQL-SERVER, PHP, JavaScript
Education
Ph.D. - Big Data And Machine Learning
University of Stavanger
Stavanger, Norway03.2017
Master of Science - Computer Science
University of Stavanger
Stavanger, Norway06.2013
Skills
- Python
- Deep learning (CNN, RNN, LSTM)
- Natural Language Processing
- Generative AI (LLM)
- Computer Vision
- MLOps
- NoSQL Databases
- Agile Methodology
- Machine Learning
- Kubernetes
- Cloud Technology (Azure)
Languages
Hindi
First Language
English
Proficient (C2)
C2
Norwegian
Intermediate (B1)
B1
Publications
- R2Time: a framework to analyse OpenTSDB time-series data in HBase [Cloudcom 2014].
- Analyzing and Predicting framework in Hadoop Cluster using Distributed Hidden Markov Model [ Cloudcom Asia 2015]
- AFFM: Auto Feature Engineering in Field-aware Factorization Machines for Predictive Analytics [ICDM Worskshop 2015]
- Adaptive Anomaly Detection in Cloud Infrastructure using Robust and Scalable Principal Component Analysis in Spark. [ISPDC 2016]
- SD-HDFS: Secure Deletion in Hadoop Distributed File System [BigData Congress 2016]
- Resource Management in the cloud based distributed cameras using Bargaining Concept [BigData Congress 2017]
References
References available upon request.
Timeline
Head of Research and Development
Simplifai AS
01.2023 - Current
Machine Learning Mentor
Springboard
06.2019 - Current
Chief Data Scientist
Simplifai AS
05.2018 - 08.2023
Data Scientist
DNV
10.2016 - 05.2018
Co-Founder and CTO
Boost AI AS
04.2016 - 08.2016
Visiting Research Fellow
Purdue University
10.2015 - 04.2016
Research Fellow
University Of Stavanger
10.2013 - 09.2016
Back-End Developer
Future Home AS
07.2013 - 07.2014
Web Developer
United Nation, UNRCHCO
08.2010 - 08.2011
Software Developer
Pioneer Solutions
08.2008 - 07.2010
Ph.D. - Big Data And Machine Learning
University of Stavanger
Master of Science - Computer Science
University of Stavanger
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