Sarbashis Das

Sarbashis Das

Pricipal Data Scientist| GenAI Tech Lead | Machine Learning |

Sarbashis Das, PhD.

Principal Data Scientist & Technical Lead

Experience Summary With over 10 years in AI/ML, I currently serve as a Principal Data Scientist & Technical Lead at Ericsson, Sweden. I have been pivotal in designing the software architecture of di ff erent AI-based Products. My journey reflects a passion for Generative AI and a focus on developing innovative AI/ML products and tools. I lead cross-functional teams, mentor junior data scientists, and drive the adoption of advanced AI technologies at Ericsson.

Professional Skills

Skill Area Skills
Data Science Leadership Strategic Planning, Cross-functional Team Management, Collaboration, Decision-Making, Mentorship
Project Management Agile Methodologies, JIRA & Confluence, Risk Management, Resource Allocation, Stakeholder Communication
Generative AI RAG Techniques, Prompt Engineering, Agentic AI, Model Evaluation, AI Workflow Optimization
GenAI Frameworks LangChain, RAGAS, LangGraph, Haystack, CREW AI
Information Retrieval Semantic Search, Vector Search, Data Preprocessing, Knowledge Graphs, Query Understanding
Cloud Platforms Azure ML, AWS Bedrock, Vertex AI, Google Cloud AI, Amazon SageMaker
Visualization Kibana, Grafana, Tableau, Power BI
Programming Python, R, SQL, Bash, C

Work Experiences

2024 - Present: Principal Data Scientist & Technical Lead - Industrialization of Agentic RAG Assistant

AI Hub Ericsson, Sweden

Lead Industrialization of the

  • Focus Areas: Generative AI and LLMs
    • Agentic RAG based Chatbot.
    • Drive for different AI use-cases.
    • Designed and implemented the overall architecture of the solution, ensuring scalability, reliability, and efficiency. Drive for dierent AI use-cases.

2020 - 2024: AI Architect & Technical Lead for Ericsson Product Information Assistant AI Hub Ericsson, Sweden

  • Focus Areas: Product Development & Project Management Leading a diverse team of 15 professionals, including

    • Conducted Proof-of-Concept (POC) for new technologies and led collaboration with teams in different organizations.
    • Leading a diverse team of 15 professionals, including Data Scientists , Data Engineers , Software Developers , and Domain Experts , to successfully deliver the project.
    • Collaborate closely with the Operative Product Owner(OPO) and Strategic Product Manager(SPM) to shape the Product Roadmap and facilitate feature development.
    • Implemented Agile Methodologies to efficiently plan and manage the development of the Assistant, resulting in 16 successful quarterly releases.
    • Held responsibility for the comprehensive architecture of the Assistant, overseeing 35 microservices.

2021 - 2023: Senior Data Scientist, Global AI Accelerator (GAIA) Ericsson, Sweden

  • Focus Areas: Generative AI and LLMs
    • Proposed and drove the implementation of Retrieval Augmented Generation (RAG) using vector embedding and Large Language Model (LLM) .
    • Evaluating different vector stores for RAG architecture. – Propose Architectural improvements and Prompt Engineering for system efficiency and answer quality.

Sept, 2022 - March 2023: Leaders Core Curriculum Program (LCC) Ericsson, Sweden

  • The Leaders Core Curriculum (LCC) is Ericsson’s foundation-level leadership development program that focuses on developing the core leadership capabilities needed to drive performance. Over the course of this 15-week program: Developed self-awareness.

    • Developed self-awareness.
    • How to influence and collaborate effectively across organization.
    • Learned different leadership style, understand what drives and motivates a team

2019 - 2021: Data Scientist, Global AI Accelerator (GAIA) Ericsson, Sweden

  • Focus Areas: Knowledge graph generation Developed pipeline for
  • Developed pipeline for documents and generate Knowledge Graph using open-source tools.
  • Trained ML model for name-entity recognition for Ericsson Product names. -Knowledge Graph
  • Designed SPARQL queries to fetch information from Knowledge Graph

2014 - 2019 Researcher/Senior Researcher, SciLifelab, Uppsala University, Sweden

  • Focus Areas: Understand gene regulation in different types of heart failures using Machine Learning
  • Different Machine Learning approaches like dimension reduction and unsupervised clustering were used to identify 743 dysregulated genes.

Education

  • Ph.D. in Computational & System Science
  • M.Tech in Computational & System Science

Certifications

  • Generative AI and Large Language Model
  • Specialization in Machine Learning Engineering for Production (MLOps)
  • Specialization in Deep Learning
  • Architecting with Google Kubernetes Engine: Workloads
  • Architecting with Google Kubernetes Engine: Foundations
  • Machine Learning A-Z TM Hands-On Python & R In Data Science
  • Machine Learning, Stanford University
  • Introduction to Data Science in Python, University of Michigan

Awards

2024, Ericsson Key Contributor Award

This recognition reflects potential to drive Ericsson’s long-term Strategic priorities

2021, Ericsson Impact Award 2021

The award was given to the people who contribution has a great impact to Ericsson business value

2017, Research Grant awarded as a co-applicant

Title: Dynamics of gene regulatory networks in response to di ff erent stresses in Mycobacteria. Funding Agency: FORMAS.

2016, Research Grant awarded as a co-applicant

Title: Non-coding and regulatory RNAs in Mycobacteria. Funding Agency: Swedish Research Council (VR)

2012, Awarded Wennergren Postodoc Fellowship

Funding Agency: Wennergren Foundations. Grant offered, but gracefully declined due to accepting other Postdoc position

2010, Awarded Senior Research Fellowship

Funding Agency: Council of Scientific and Industrial Research (CSIR), Government of India.

2006, Awarded Scholarship for Master of Technology

Funding Agency: Department of Biotechnology (DBT), Government of India.

Highlighted Invited Talks and Conference Presentations

2024, Presented Ericsson Product Information Assistant with Generative AI Ericsson Developer Conference

2024, Invited talk , Uppsala University

Generative AI & LLM to Master Program students

2023, Presented & Demoed Retrieval Augmented Generation (RAG) Architecture in PIA

Multiple Organization within Ericsson

2022, Presented & demoed , Ericsson Developer Conference (Stockholm)

Presented Ericsson Product Information Assistant and demoed different functionalities

Interests

Generative AI, Machine Learning, Fine turning, Software development