---
title: "Ashutosh Pandey - Associate AIML Engineer (R&D) in Bengaluru | Tal"
description: "Meet Ashutosh Pandey, AI/ML Engineer @ HARMAN International | GenAI • Agentic AI • Multimodal LLMs • RAG • AWS • Deep Learning • NLP • Computer Vision based in Bengaluru. AI stack includes claude code, claude, and elevenlabs. Explore public work links including github."
image: "https://tal.club/meet/ashutosh-pandey-4/share-image"
---

# Ashutosh Pandey on Tal

## Headline

AI/ML Engineer @ HARMAN International \| GenAI • Agentic AI • Multimodal LLMs • RAG • AWS • Deep Learning • NLP • Computer Vision

## About

I’m an AI/ML Engineer currently working at HARMAN International, where I build and deploy AI systems that actually get used in production\. Most of my work revolves around LLMs, multimodal models, and automation\. I’ve worked on things like multi\-agent systems, video understanding pipelines, and AI\-driven workflows that reduce manual effort and make processes faster and more reliable\. I enjoy working on problems where AI meets real\-world systems—whether that’s designing end\-to\-end pipelines, improving model performance, or making solutions scalable and practical\. Over time, I’ve developed a strong interest in: • LLMs and RAG\-based systems • Multimodal AI \(vision, text, audio\) • Building production\-ready ML systems • Exploring how agents can automate complex tasks I’m currently exploring opportunities in AI/ML where I can continue building impactful systems and learn from strong teams\. Always open to connecting, discussing ideas, or collaborating on interesting problems\.

## Location

Bengaluru

## AI stack

claude code

claude

elevenlabs

hugging face

langchain

langgraph

## Work experience

Associate AIML Engineer \(R&amp;D\) at HARMAN International, Jul 2025 \- Aug 2026 · 1 yr 2 mos, Bengaluru, Karnataka, India · Hybrid, • Working on building production\-grade AI systems focused on multimodal intelligence and agentic workflows • Developed a multi\-agent video redaction platform with AI\-driven PII detection, reducing manual effort by \~70% • Designed AI\-powered document intelligence pipelines to automate accreditation workflows and reduce manual intervention by \~60% • Migrated legacy systems to a Python\-based AI backend, improving performance and reducing technical debt • Built industrial AI solutions for anomaly detection and predictive maintenance, reducing downtime by \~30%

AI Engineer Intern \(R&amp;D\) at HARMAN International, Nov 2024 \- Jun 2025 · 8 mos, Bengaluru, Karnataka, India · Hybrid, • Worked on multimodal AI for circuit design \(EDA\) using LLaVA &amp; LLaMA models • Built an AI assistant for engineers, improving productivity and design efficiency • Applied LoRA and cross\-attention techniques for efficient model fine\-tuning • Contributed to a video\-language segmentation system \(RVOS\) with strong real\-world accuracy • Explored multimodal reasoning across video and text for intelligent automation use cases

Software Engineer Intern at Senseoriginal Technologies Pvt Ltd, Jul 2023 \- Jun 2024 · 1 yr, Gurugram, Haryana, India, • Developed scalable Android applications using Java, XML, Kotlin, and Jetpack Compose, enhancing user interface and logic\. • Built iOS applications with Swift and SwiftUI, prioritizing responsive design for optimal user experience\. • Created an NFC\-based product authenticity system, ensuring secure chip scanning and verification across platforms\.

KWOC'22 Contributor at Kharagpur Open Source Society, Dec 2022 \- Jan 2023 · 2 mos, India

## Education

Bachelor of Technology \- BTech, Computer Science\(artificial intelligence and machine learning\), PSIT Kanpur \(Pranveer Singh Institute of Technology\)

## Public links

- github: https://github\.com/ashupandey1620

[View the original profile](https://tal.club/meet/ashutosh-pandey-4)

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