Subrata Roy

AI Researcher

Bengaluru, Karnataka, India6 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable AI solutions.
Proven track record in NLP and GenAI applications.
Strong experience in optimizing data pipelines.

Stackforce AI infers this person is a Data Scientist specializing in AI and NLP solutions across automotive and energy sectors.

Contact

Skills

Core Skills

Gen AiNatural Language Processing (nlp)Machine LearningData Engineering

Other Skills

LLMAzure CloudPySparkDeep LearningNLPAzureData PipelinesLangChainLarge Language Models (LLM)Large Language Model Operations (LLMOps)Recurrent Neural Networks (RNN)Knowledge Graph-Based Natural Language ProcessingStatisticsNumPyScikit-Learn

About

I'm an AI & NLP enthusiast with 6 years of hands-on experience building intelligent systems that solve real-world problems. I love working at the intersection of large language models, NLP automation, and GenAI applications—turning ideas into scalable solutions that actually make a difference. Over the years, I’ve worked on everything from automating compliance checks at Mercedes-Benz to building NLP systems that help geologists at Shell make faster decisions. I enjoy exploring things like RAG pipelines, LangChain agents, and LLMOps—and I’m constantly experimenting with ways to make GenAI smarter, faster, and more cost-efficient. My goal is simple: to build AI that’s not just powerful, but also reliable, transparent, and easy to use in real business environments. If you’re into AI, want to collaborate, or just geek out over LLMs—let’s connect!

Experience

6 yrs 8 mos

Total Experience

2 yrs 1 mo

Average Tenure

3 mos

Current Experience

Microsoft

Data Scientist 2

Feb 2026 – Present · 3 mos · Bengaluru · On-site

Mercedes-benz ag

Senior Data Scientist

Apr 2023 – Feb 2026 · 2 yrs 10 mos · India · Hybrid

Developed a Gen AI and LLM-based chat application to streamline technical compliance reporting.
Designed the system to allow stakeholders to ask natural language questions, generating real-time counts and interactive charts for enhanced decision-making.
Leveraged Azure Cloud for scalability and PySpark to optimize data pipelines, handling a 10x increase in data while reducing processing time by 40%.

Gen AILLMAzure CloudPySparkNatural Language Processing (NLP)

Shell

Specialist Technical Data

May 2022 – Apr 2023 · 11 mos · Chennai, Tamil Nadu, India · Hybrid

Developed an AI system using deep learning and NLP to automatically analyze and extract key insights from Shell’s geological and reservoir reports. The solution leveraged NLP models to process unstructured data, organize reports, and categorize information, deployed on Shell’s cloud for real-time analysis. This reduced report analysis time by 50%, improving efficiency and enabling faster decision-making in oil extraction.

Deep LearningNLPAzure CloudNatural Language Processing (NLP)Machine Learning

Wipro

Machine Learning Engineer

Sep 2019 – May 2022 · 2 yrs 8 mos · On-site

Developed a personalized music recommendation system for a leading Chinese mobile brand using machine learning algorithms like collaborative filtering and content-based filtering. Leveraged user data to provide tailored suggestions, improving user experience and engagement. Implemented scalable data pipelines on Azure for real-time recommendations, enhancing system accuracy by analyzing user reviews and preferences, resulting in increased engagement.

Machine LearningAzureData PipelinesData Engineering