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Sarabjot Singh

AI Engineer @PrudentAI | Building Agentic & Multi-Agent Systems | Expertise in LangChain, LlamaIndex, RAG, and AWS Bedrock, LangGraph

Bengaluru

3+ years of work experience

Prudent AI
Feb 20267 mosPresent

Hybrid

Ashok Leyland
Jul 20241 yr 8 mosFeb 2026

On-site

• Delivered 3 GenAI applications using LangChain, LlamaIndex, AWS Bedrock, RAG for semantic search, analytics, and multi-modal querying. • Built agentic sales assistant with LangGraph and Claude Sonnet, automating brochure delivery, TCO calculation, and product matching—cutting lookup time by 70%. • Developed OCR pipelines with Python, docling, and marker-pdf to convert scanned PDFs into structured, queryable data for AI-powered Q&A. • Optimized RAG systems with ChromaDB, Neo4j, FAISS for precise retrieval of text and tabular data. • Stack: Python, LangChain, LangGraph, LlamaIndex, FastAPI, ChromaDB, Neo4j, FAISS, AWS (EC2, S3, Bedrock), OpenAI API, Claude Sonnet, Agentic AI, Docker.
GDSC
Aug 20211 yr 1 moAug 2022

Chandigarh, India

• Led the design team at Google Developer Student Clubs (GDSC) in Chandigarh, focusing on user-centric design. • Conducted research on user interaction trends to create engaging graphics for community events. • Developed innovative strategies to enhance community engagement, resulting in a 30% increase in participation.
GitHub
@ricky-aufvaa

Sarabjot’s AI Stack

claude
claude
hugging face
hugging face
langchain
langchain
langfuse
langfuse
langgraph
langgraph
langsmith
langsmith

Education

Chandigarh Group of Colleges, Landran, Punjab

Bachelor's degree, Electrical, Electronics and Communications Engineering

Chandigarh Group of Colleges, Landran, Punjab

20204 yrs2024

Guru Nanak Hr. Sec. School,Ranchi

200515 yrs2020

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Headline

AI Engineer @PrudentAI | Building Agentic & Multi-Agent Systems | Expertise in LangChain, LlamaIndex, RAG, and AWS Bedrock, LangGraph

About

Hi, I’m Sarabjot Singh, a AI Developer who spends his days wrangling LLMs, vector databases, and the occasional stubborn API. At Ashok Leyland, I build agentic and multi-agent AI systems that help engineers and sales teams work smarter — from OCR-powered document intelligence to RAG-driven assistants. My toolkit includes LangChain, LlamaIndex, LangGraph, AWS Bedrock, FastAPI, and React — basically, the Avengers of AI. When I’m not coding, I’m probably breaking my own projects just to rebuild them better. 😄

Location

Bengaluru

AI stack

claude

hugging face

langchain

langfuse

langgraph

langsmith

Work experience

AI Developer at Prudent AI, Feb 2026 - Present · 7 mos, Hybrid

Artificial Intelligence Engineer at Ashok Leyland, Jul 2024 - Feb 2026 · 1 yr 8 mos, On-site, • Delivered 3 GenAI applications using LangChain, LlamaIndex, AWS Bedrock, RAG for semantic search, analytics, and multi-modal querying. • Built agentic sales assistant with LangGraph and Claude Sonnet, automating brochure delivery, TCO calculation, and product matching—cutting lookup time by 70%. • Developed OCR pipelines with Python, docling, and marker-pdf to convert scanned PDFs into structured, queryable data for AI-powered Q&A. • Optimized RAG systems with ChromaDB, Neo4j, FAISS for precise retrieval of text and tabular data. • Stack: Python, LangChain, LangGraph, LlamaIndex, FastAPI, ChromaDB, Neo4j, FAISS, AWS (EC2, S3, Bedrock), OpenAI API, Claude Sonnet, Agentic AI, Docker.

Core team at GDSC, Aug 2021 - Aug 2022 · 1 yr 1 mo, Chandigarh, India, • Led the design team at Google Developer Student Clubs (GDSC) in Chandigarh, focusing on user-centric design. • Conducted research on user interaction trends to create engaging graphics for community events. • Developed innovative strategies to enhance community engagement, resulting in a 30% increase in participation.

Education

Bachelor's degree, Electrical, Electronics and Communications Engineering, Chandigarh Group of Colleges, Landran, Punjab

Guru Nanak Hr. Sec. School,Ranchi

Public links

github: https://github.com/ricky-aufvaa

Sarabjot Singh - AI Developer in Bengaluru | Tal