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Vinay Anand Bhaskarla

Automotive Engineering & Applied AI Professional at Goken America

Frisco, United States

Vinay Bhaskarla is an automotive engineering and applied AI professional with more than 10 years of experience developing complex vehicle systems and engineering solutions across the automotive industry.

He holds a Master of Science in Computer Science with a specialization in Artificial Intelligence from the Georgia Institute of Technology, a Master of Science in Automotive Systems Engineering from the University of Michigan-Dearborn, and a bachelor’s degree in Mechanical Engineering.

Vinay’s work focuses on connecting traditional engineering expertise with emerging artificial intelligence technologies. He develops practical applications using Generative AI, Retrieval-Augmented Generation, agentic AI, machine learning, and engineering automation. His projects include a RAG-based assistant for automotive DFMEA and DVP&R workflows, enterprise engineering knowledge assistants, battery health analytics, AI-powered decision-support tools, and cognitive reasoning agents.

Throughout his automotive career, Vinay has worked on vehicle structures, body-in-white systems, battery and thermal components, material engineering, design release, manufacturing feasibility, cost optimization, and cross-functional product development. This experience gives him a systems-level understanding of how AI must operate within real engineering environments where accuracy, validation, traceability, safety, and business impact matter.

Vinay writes about artificial intelligence, RAG systems, AI agents, engineering automation, and his transition from mechanical engineering into AI engineering. Through his articles, open-source projects, and practical demonstrations, he aims to make advanced AI concepts understandable and useful to engineers and other professionals entering the field.

His primary areas of interest include Artificial Intelligence, Generative AI, Agentic AI, Retrieval-Augmented Generation, Automotive Engineering, Engineering Automation, Digital Transformation, and the future of AI-assisted product development.

Vinay Anand Bhaskarla Points
Academic 0
Author 11
Influencer 0
Speaker 0
Entrepreneur 0
Total 11

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Individual
Business Unit: Applied AI and Automotive Engineering
Theatre: North America
Minimum Project Size: N/A
Average Hourly Rate: N/A
Number of Employees: 1-10
Company Founded Date: Undisclosed

Areas of Expertise

Agentic AI 30.37
AI 30.14
Automotive
Digital Transformation
Engineering
Generative AI 30.36
Manufacturing

Industry Experience

Automotive
Engineering & Construction
Manufacturing

Publications & Experience

11 Article/Blogs
From Zero to AI Engineering: Why I’m Starting This Series
Medium
July 25, 2026
An introduction to a practical learning series that explains modern AI systems through intuition, systems thinking, visual architecture, and hands-on engineering projects.

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Tags: Agentic AI, AI, Generative AI

What Is a Context Window?
Import from medium.com
July 21, 2026
Article 10 · Season 1When you use an LLM, it can remember parts of the conversation.You can ask a question.Then ask a follow-up.Then refer to something you said earlier.The model often understands what you mean.This makes it feel like the model has memory.But the reality is more specific.The mo

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Tags: Agentic AI, AI, Generative AI

Building a RAG Assistant for DFMEA and DVP&R in Automotive Engineering
Import from medium.com
July 19, 2026
For most of my career, I have worked with engineering problems where mistakes are expensive, traceability matters, and every decision must survive technical review.I did not want to build another generic chatbot that could answer questions about uploaded PDFs. I wanted to build something grounded in

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Tags: Agentic AI, AI, Generative AI

Stop Trying to Build a “Jarvis.” Build This Instead: A Beginner’s Guide to Your First AI Agent
Import from medium.com
June 18, 2026
Every week, I see people excited about AI agents.They watch a demo of an agent researching the web, analyzing documents, writing reports, updating spreadsheets, and responding to emails automatically.Then they decide they want to build one.Three hours later, they are buried under unfamiliar terms:

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Tags: Agentic AI, AI, Generative AI

Training vs Inference: Learning vs Using an AI Model
Import from medium.com
June 04, 2026
Article 08 · Season 1So far in this series, we have talked about neural networks, transformers, tokens, embeddings, and text generation.But there is one distinction that beginners must understand early:Training vs InferenceThese two words appear constantly in AI engineering.They sound technical, b

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Tags: Agentic AI, AI, Generative AI

What Are Embeddings? Turning Meaning Into Numbers
Import from medium.com
June 03, 2026
Article 07 · Season 1In the previous article, we learned that LLMs process tokens.Tokens are the pieces of text that enter the model.But tokens by themselves are not enough.A model needs more than pieces.It needs meaning.It needs a way to understand that:“dog” is closer to “puppy” tha

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Tags: Agentic AI, AI, Generative AI

What Are Tokens? The Hidden Language of LLMs
Import from medium.com
June 01, 2026
Article 06 · Season 1In the previous article, we learned that Large Language Models generate text by predicting the next token.That raises an obvious question:What exactly is a token?Most beginners assume LLMs read words the same way humans do.But they do not.When you type a prompt into ChatGP

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Tags: Agentic AI, AI, Generative AI

How Do LLMs Actually Generate Text?
Import from medium.com
May 31, 2026
Article 05 · Season 1In the previous article, we looked at why transformers changed AI forever.We saw that transformers gave AI systems a new way to understand relationships between tokens using attention.That breakthrough made modern Large Language Models possible.But now we need to answer the q

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Tags: Agentic AI, AI, Generative AI

Why Transformers Changed AI Forever
Import from medium.com
May 29, 2026
Transformers changed how we use AI and made it mainstream..Article 04 · Season 1Before transformers existed, AI systems were surprisingly limited.They could:classify images,detect patterns,translate short sentences,and make predictions reasonably well.But they struggled badly with:long conversati

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Tags: Agentic AI, AI, Generative AI

How Do Machines Actually Learn? Understanding Neural Networks Simply
Import from medium.com
May 28, 2026
Article 03 · Season 1When most people hear the term “Neural Network,” they immediately imagine:science fiction,digital brains,or machines that somehow became intelligent overnight.But neural networks are not magic.read the previous article hereIn fact, once you understand the core idea behin

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Tags: Agentic AI, AI, Generative AI

What Actually Is Artificial Intelligence? (Without the Hype)
Import from medium.com
May 26, 2026
Artificial Intelligence has become one of the most overused words in technology.read the previous article hereToday, almost everything is called “AI”:chatbots,recommendation systems,self-driving cars,image generators,voice assistants,even simple automation scripts.But if we remove all the mark

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Tags: Agentic AI, AI, Generative AI

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