BUILDING THE FUTURE WITH AI
I'M RAGHVENDRA BHATI
A DATA SCIENTIST & AI ENGINEER
Final-year Computer Science student specializing in Artificial Intelligence, Machine Learning, Data Science, Agentic AI Systems, and Enterprise AI Solutions. Currently developing production-grade AI applications and multi-agent systems at Bridgestone India.
About Me
Designing and developing intelligent multi-agent workflows and enterprise AI solutions.
10+
Projects Built
1+
Years of Experience
5+
AI Systems Developed
I am a final-year Computer Science student specializing in Data Science and Artificial Intelligence. My primary focus is on Agentic AI, Multi-Agent Systems, Large Language Models, Retrieval-Augmented Generation (RAG), and Enterprise AI Solutions.
Currently, I am working as an Agentic AI & IT Intern at Bridgestone India, where I design and develop intelligent automation systems using LangGraph, FastAPI, Ollama, and modern AI technologies.
I am passionate about solving real-world business problems through AI-powered products, intelligent workflows, and scalable software systems.
For collaborations or professional inquiries, feel free to reach out to me at raghuthakur0217@gmail.com. Looking forward to connecting!
Agentic AI & Multi-Agent Systems
Designing and building autonomous multi-agent pipelines and workflows for enterprise process automation.

Data Science & Analytics
Extracting insights from data, building predictive models, and running statistical analysis to solve business problems.

Generative AI & RAG Solutions
Building intelligent search systems, document-based question answering, and LLM-powered applications.

Machine Learning Engineering
Developing, training, and deploying production-grade ML models and intelligent backend APIs.

Skills & Technologies
AI & Data Science
11 Technologies
Programming Languages
6 Technologies
AI Frameworks & Libraries
7 Technologies
Backend Technologies
4 Technologies
Frontend Technologies
3 Technologies
Databases
6 Technologies
Cloud & DevOps
6 Technologies
Portfolio
Check out my featured projects


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Projects Built
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Years of Experience
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AI Systems Developed
Enterprise
AI Experience
Resume
Education and practical experience
Education is like a never-ending game of Β 'Did I know that?'β Β where you're always one step ahead, just enough to seem like you knew it all along, even if you only remembered it five minutes ago!
My education
B.Tech CSE (Data Science)
Computer Science & Engineering Β· Institute of Engineering & Science, IPS Academy, Indore
Specializing in Artificial Intelligence, Machine Learning, Data Science, Agentic AI Systems, and Enterprise AI Solutions. Maintained a CGPA of 7.8/10.
Class 12th
MP Board Β· St. Paul Hr. Sec. School, Jawar
Completed senior secondary schooling with a focus on Physics, Chemistry, and Mathematics (PCM).
Class 10th
MP Board Β· St. Paul Hr. Sec. School, Jawar
Completed secondary schooling with academic honors.
Work experience
Agentic AI & IT Intern
Built a multi-agent LangGraph pipeline using FastAPI and Qwen 2.5 running on Ollama for enterprise sales reporting automation. Automated reporting workflows used by 15+ employees, reducing manual effort and boosting operational efficiency by ~40%.
β¦ Why Hire Me
Why Hire Me
I design and build end-to-end AI systems that solve real business problems.
From data processing and machine learning to agent orchestration, APIs, deployment, and automation, I focus on creating scalable, production-ready solutions rather than isolated prototypes.
Real-World AI Projects
Built multiple AI applications including Agentic AI platforms, RAG systems, AI Resume Analyzers, workflow automation tools, enterprise AI assistants, and multi-agent systems focused on solving practical business challenges.
Enterprise Experience
Currently working as an AI Intern at Bridgestone India, contributing to enterprise AI initiatives, workflow automation, data processing systems, and production-grade AI solutions.
AI + Backend Engineering
Experienced in Python, FastAPI, LangChain, LangGraph, PostgreSQL, Vector Databases, API development, RAG architectures, and scalable AI system design.
Production-Ready Solutions
Focused on building secure, maintainable, scalable, and deployment-ready AI systems with real-world usability rather than academic proof-of-concept projects.
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