Utsab Barman

10+ Years in AI/Machine Learning, Data Science | NLP | Vision | Gen AI

+31633414749
Amsterdam, Netherland
utsab.barman.ju@gmail.com

linkedin.com/in/utsabbarman

Portfolio

Linkedin
Google Scholar

Education

PhD in Computer Applications (NLP, ML, Deep Learning)

Dublin City University

2013-2019Dublin, Ireland

CNGL (ADAPT) PhD Scholarship: PhD scholarship (2013-2016) that covers tuition fees and expenses provided by ADAPT Research Center formerly Center for Next Generation Localization (CNGL), Dublin City University, Dublin, Ireland.

Teaching Assistantship: ComputeTY: Object oriented Languages and Design (Java)

Thesis: Processing of Code-mixed/language-mixed Social Media User Generated Content

Publication(s):

Barman, U., Wagner, J. and Foster, J., 2016. Part-of-speech Tagging of Code-mixed Social Media Content: Pipeline, Stacking and Joint Modelling. EMNLP 2016, p.30.
Barman, U., Das, A., Wagner, J. and Foster, J., 2014, October. Code mixing: A challenge for language identification in the language of social media. In Procd. of The First Workshop on Comp. Approaches to Code Switching (pp. 13-23).
Barman, U., Wagner, J., Chrupała, G. and Foster, J., 2014, October. Dcu-uvt: Word-level language classification with code-mixed data. In Proceedings of the First Workshop on Computational Approaches to Code Switching (pp. 127-132).
Wagner, J., Arora, P., Cortes, S., Barman, U., Bogdanova, D., Foster, J. and Tounsi, L., 2014. Dcu: Aspect-based polarity classification for semeval task 4.

Masters in Computer Technology

Jadavpur University

2010-2013Kolkata, India

Publication(s):

Das, A., Burman, U., Balamurali, A.R. and Bandyopadhyay, S., 2013. NER from Tweets: SRI-JU System@ MSM 2013. Making Sense of Microposts (# MSM2013).

Bachelors in Computer Science and Engineering

West Bengal University of Technology

2004-2008Kolkata, India

Acquired a strong foundation in computer science principles and engineering concepts. Developed proficiency in programming languages and software development methodologies.

Skills

Machine Learning/Deep Learning

Deep Learning, i.e. BERTs, YOLOs, Flavours of Transformers (LongFormer, LinFormer), Bi-LSTM-CRFs and CNNs and other models.

Data Science & Classic ML, i.e. EDA, Classification, Regression, Clustering, Transfer Learning, Multi-Modal Learning, Multi-Task Learning, Reinforcement Learning.

with different ML algorithms and tools like Numpy, Pandas, Scikit-Learn, Tensorflow, PyTocrh & Huggingface.

NLP

Language Identification, Part-of-Speech Tagging, Sentiment Analysis, Relation Extraction, Name Entity Recognition, Entity Linking, Question Answering, Long Document Parsing, Knowledge Graphs, Textual Entailment

Generative AI

MMLLMs/LLMs/LVMs Prompt Engineering, LLM Quantization and Finetuning, Chatbots, RAG, Multi-Agent Workflows and Applications with tools like LangChain, LLamaIndex, CrewAI, LangFlow, vector stores like FAISS, Chroma, Azure Vectore Store (a.k.a Azure AI Search) and models like AzureGPTs, Gemini, Phi3, Falcon, DALLE, ImaGen, Ollams and few local LLMs like llama.cpp.

AI Colud Environments:

Vertex AI, Azure AI Foundary

Devops and MLOps

Docker, Git, Jenkins, MLFlow, Databricks, DVC

AzureDevOps

Cloud

AWS (AutoML, Sagemaker, EC2, S3, Lambda)

Azure (Azure AI, Search, App & other Services)

Google Cloud (Vertex AI, App & other Services)

Programing Language

Python, Java, C++

Project Management Tools

JIRA: Scrum and KANBAN

Utsab Barman

10+ Years in AI/Machine Learning, Data Science | NLP | Vision | Gen AI

+31633414749
Amsterdam, Netherland
utsab.barman.ju@gmail.com

linkedin.com/in/utsabbarman

Motivation

With a wealth of experience in Data Science and Machine Learning, I bring a unique blend of expertise in Research and Project Management. My professional journey in industries and in academia have been marked by a commitment to turning data into actionable insights. Throughout my career, I have not only developed cutting-edge models but have also been instrumental in designing robust architectures that power these solutions in real-world scenarios. My proficiency in AI and its applications has provided me with a deep understanding of data-centric and implementational challenges, enabling the creation of innovative solutions that bridge the gap between technical intricacies and end-user requirements. I am driven by the excitement of crafting intelligent systems and eager to contribute my expertise in shaping the future of generative AI.

Let's create together, imagine beyond limits, and revolutionize the landscape of generative artificial intelligence.