---
title: "Deepak Nandeshwar - Associate AI/ML Engineer in Greater Bengaluru Area | Tal"
description: "Meet Deepak Nandeshwar, AI/ML Engineer @ Lauren | Generative AI | RAG & LLMs | Computer Vision | AWS | Python | PySpark based in Greater Bengaluru Area. AI stack includes claude code, claude, and deepseek. Explore public work links including github."
image: "https://tal.club/meet/deepak-nandeshwar/share-image"
---

# Deepak Nandeshwar on Tal

## Headline

AI/ML Engineer @ Lauren \| Generative AI \| RAG & LLMs \| Computer Vision \| AWS \| Python \| PySpark

## About

A Bachelor of Engineering graduate in Artificial Intelligence from Dayananda Sagar Academy of Technology and Management, currently contributing as an Associate AI/ML Engineer at Lauren\. Proficient in natural language processing, semantic retrieval, and data modeling using tools like Amazon Titan, FAISS, and AWS Glue\. Developed and optimized multilingual retrieval\-augmented generation \(RAG\) systems and end\-to\-end data pipelines for enterprise solutions, ensuring seamless integration of advanced LLMs into client\-facing applications\. At Lauren, collaborated on building scalable AI\-driven systems for financial insights and real\-time client interactions, leveraging document chunking, embedding\-based semantic search, and knowledge graphs\. Passionate about creating impactful solutions that empower teams, enhance operational efficiency, and foster innovation\. Committed to driving progress through teamwork and diverse perspectives, while aligning with organizational objectives in AI and data\-centric transformations\.

## Location

Greater Bengaluru Area

## AI stack

claude code

claude

deepseek

hermes agent

hugging face

ollama

## Work experience

Associate AI/ML Engineer at Lauren, Jun 2025 \- Present · 1 yr 6 mos, Bengaluru, Karnataka, India, Built a production AI\-based footfall analytics platform using Python, YOLOv8 and AWS, processing CCTV snapshots for person detection and store\-level traffic analytics\. Developed an event\-driven pipeline using Amazon S3 and AWS Lambda, with YOLOv8 Nano inference results stored in Amazon Timestream for time\-series analysis\. Built QuickSight dashboards for hourly, daily and store\-wise footfall analytics\. Developed and maintained enterprise\-scale AWS Glue / PySpark ETL pipelines processing automotive DMS data across multiple brands\. Owned OTC and Repair Order Throughput pipelines, transforming transactional DMS data into curated warehouse datasets consumed by Power BI\. Implemented semantic\-layer transformations, brand\-specific joins, open/archived data merges and composite\-key deduplication\. Performed cross\-layer data reconciliation, DEV/UAT validation and production issue investigation across ingestion, prepared, semantic and reporting layers\.

AI/ML Trainee at Lauren, Dec 2024 \- May 2025 · 6 mos, Bengaluru, Karnataka, India, 🔹 Semantic Segmentation using PixelLib and U\-Net with custom datasets 🔹 Real\-time PPE Detection integrated with Face Recognition using YOLOv8 🔹 Knowledge graph and LLM\-powered query generation using Neo4j, LangChain, and Gemma 2

Intern at Compsoft Technologies, 2023 \- 2023 · Less than a year, Built a Python voice assistant for visually impaired users, integrating speech recognition, NLP query handling, and TTS for voice\-driven email and web automation\.

## Education

Bachelor of Engineering, Artificial Intelligence, Dayananda Sagar Academy Of Technology And Management, Bangalore

Pre University, Royal Palace

## Public links

- github: https://github\.com/deepaknandeshwar17

[View the original profile](https://tal.club/meet/deepak-nandeshwar)

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