CV
Sarbashis Das, PhD
Principal Data Scientist & Technical Lead — Ericsson, Sweden
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 different 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.
Professional 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
Experience
Principal Data Scientist & Technical Lead — Industrialization of Agentic RAG Assistant
- Leading industrialization of the Agentic RAG-based Chatbot
- Designed and implemented the overall architecture of the solution, ensuring scalability, reliability, and efficiency
- Driving adoption of different AI use-cases across the organization
AI Architect & Technical Lead — Ericsson Product Information Assistant
- Led a diverse team of 15 professionals, including Data Scientists, Data Engineers, Software Developers, and Domain Experts
- Conducted Proof-of-Concept (POC) for new technologies and led collaboration with teams across different organizations
- Collaborated with Operative Product Owner and Strategic Product Manager to shape the Product Roadmap and facilitate feature development
- Implemented Agile Methodologies, resulting in 16 successful quarterly releases
- Held responsibility for the comprehensive architecture of the Assistant, overseeing 35 microservices
Senior Data Scientist — Global AI Accelerator (GAIA)
- Proposed and drove the implementation of Retrieval Augmented Generation (RAG) using vector embedding and Large Language Models
- Evaluated different vector stores for RAG architecture
- Proposed architectural improvements and Prompt Engineering for system efficiency and answer quality
Leaders Core Curriculum Program (LCC)
- Completed Ericsson's 15-week foundation-level leadership development program
- Developed self-awareness and learned to influence and collaborate effectively across organizations
- Learned different leadership styles, understanding what drives and motivates a team
Data Scientist — Global AI Accelerator (GAIA)
- Developed pipeline for document processing and Knowledge Graph generation using open-source tools
- Trained ML model for named-entity recognition for Ericsson product names
- Designed SPARQL queries to fetch information from Knowledge Graph
Researcher / Senior Researcher
- Studied gene regulation in different types of heart failures using Machine Learning
- Applied dimension reduction and unsupervised clustering 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 — 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. Recognizes potential to drive Ericsson's long-term strategic priorities.
- 2021 — Ericsson Impact Award. Given for contributions with great impact to Ericsson business value.
- 2017 — Research Grant (co-applicant). Dynamics of gene regulatory networks in response to different stresses in Mycobacteria. Funded by FORMAS.
- 2016 — Research Grant (co-applicant). Non-coding and regulatory RNAs in Mycobacteria. Funded by Swedish Research Council (VR).
- 2012 — Wennergren Postdoc Fellowship. Funded by Wennergren Foundations. Grant offered but gracefully declined.
- 2010 — Senior Research Fellowship. Funded by CSIR, Government of India.
- 2006 — Scholarship for Master of Technology. Funded by DBT, Government of India.
Talks & Presentations
- 2024 — Ericsson Developer Conference. Presented Ericsson Product Information Assistant with Generative AI.
- 2024 — Uppsala University. Invited talk on Generative AI & LLM to Master Program students.
- 2023 — Multiple Ericsson organizations. Presented & demoed Retrieval Augmented Generation (RAG) Architecture in PIA.
- 2022 — Ericsson Developer Conference, Stockholm. Presented & demoed Ericsson Product Information Assistant.