Abhishek Raj Permani
Senior MLE @ Sunking | Ex-Jaguar Land Rover, Samsung | Author | Speaker
Gurugram, India
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Abhishek Raj Permani is a distinguished Data Scientist, AI researcher, and Senior Machine Learning Engineer, currently leading impactful AI infrastructure initiatives at Sun King. With a strong academic foundation from the IITs and years of experience in building cutting-edge AI solutions, Abhishek blends research depth with real-world innovation.
His work spans transformer architectures, hybrid attention mechanisms, and recommendation systems, earning him accolades such as the Best Research Paper Award and recognition as one of the most-read authors on ResearchGate. Formerly at Jaguar Land Rover and Samsung Research, Abhishek has consistently applied AI to solve complex engineering and business problems.
A dynamic speaker and thought leader, Abhishek regularly shares his insights at conferences and developer forums, inspiring the next generation of AI talent through his expertise, clarity, and passion for innovation.
Area of Expertise
Topics
LLMs on the Road: Unlocking Knowledge-Driven Intelligence for Autonomous Vehicles
As autonomous vehicles mature, perception alone is not enough. They must understand context, follow nuanced traffic laws, explain their actions, and adapt to dynamic environments—capabilities that demand real-time intelligence beyond sensor data.
This session explores how Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines are revolutionizing the reasoning layer of autonomous driving systems. We’ll deep dive into the full architecture that enables natural language querying of map data, traffic law compliance, real-time diagnostics, and human-readable decision explanations.
Topics include:
Designing RAG pipelines for vehicle-level data (logs, GPS, diagnostics)
Integrating vector databases (FAISS/Pinecone) with LangChain or LlamaIndex
Prompt engineering for traffic-specific queries
Evaluating LLMs (Claude, LLaMA, Mistral) in low-latency use cases
Challenges: latency, hallucinations, retrieval precision
Deployment strategies using FastAPI + Docker for edge/cloud inference
This talk is deeply technical and hands-on—ideal for AI engineers, autonomous system designers, and technical leads aiming to build the next generation of knowledge-aware AVs that don’t just drive but explain.
From Fear to Future: Turning Agentic AI into Your Competitive Edge
In this candid session, I’ll talk about the common anxiety young professionals feel about being “replaced by AI.” We’ll flip that script by demonstrating how agentic AI can become a digital teammate, not a threat. Using hands-on examples, I’ll guide the audience through building simple agents that boost productivity — and discuss the human-only skills that are now more valuable than ever.
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