---
title: "Yuvraj Garg - Senior Machine Learning Engineer in Bengaluru | Tal"
description: "Meet Yuvraj Garg, Senior Machine Learning Engineer at Ctruh based in Bengaluru. AI stack includes cursor, hermes agent, and hugging face. Explore public work links including yuvraj97.com."
image: "https://tal.club/meet/yuvraj-garg-1/share-image"
---

# Yuvraj Garg on Tal

## Headline

Senior Machine Learning Engineer at Ctruh

## About

I am a Machine Learning Engineer with around 5 years of experience architecting scalable, end\-to\-end AI products from concept to deployment\. Driven by a builder's mindset, I have engineered four distinct production systems alongside my full\-time work\. My core expertise spans computer vision pipelines, multi\-agent orchestration using LLMs and RAG, and comprehensive MLOps\. Most recently, I led a three\-person AI/ML R&D team at Styldod, where I developed complex 2D\-to\-3D scene reconstruction pipelines and launched an autonomous multi\-agent Image AI system utilizing MCP architecture and LangChain\. I am deeply passionate about optimization and infrastructure; I have successfully cut operational costs by 70% through deploying self\-hosted LLMs and reduced inference latencies by over 85% to maximize API throughput and enable efficient GPU auto\-scaling\. Beyond enterprise roles, my independent engineering projects reflect a commitment to solving difficult AI challenges\. I engineered ScaleWaveAI, a serverless AI inference platform with auto\-scaling GPU clusters, and built KyoudaiClub, a full\-stack real\-time LLM character platform engineered for low\-latency streaming\. Equipped with a MicroMasters in Statistics and Data Science from MITx, I thrive at the intersection of deep research and production engineering, specializing in turning complex ML concepts into high\-performing, user\-centric applications\.

## Location

Bengaluru

## AI stack

cursor

hermes agent

hugging face

langchain

langgraph

mcp

## Work experience

Senior Machine Learning Engineer at Ctruh, Jul 2026 \- Sep 2026 · 3 mos, Bengaluru, Karnataka, India

Machine Learning Engineer at Styldod, Inc, Oct 2021 \- Apr 2026 · 4 yrs 7 mos, Bengaluru, Karnataka, India, • Lead a 3 person AI/​ML R&D team building computer vision, 3D, and generative AI solutions for visual automation\. • Architected a 2D to 3D scene reconstruction pipeline using an ensemble of ML models and linear algebra for spatially accurate 3D furniture placement from single images\. • Launched Reimagine Home's⁠ first Image AI Agent, orchestrated a multi\-agent system featuring inter\-agent communication\. This collaborative architecture automated complex tool calling across image generation APIs, database fetching, live Amazon API integrations, and content moderation\. • Engineered an automated content pipeline targeting AI search engines, driving a 17% increase in new user acquisition\. Architected agentic tool calling to handle autonomous internet research, cross linking, and citation generation\. • Cut operational costs by 70% by architecting a production MLOps system that deploys self\-hosted LLMs and image generation models, serving millions of monthly requests\. • Slashed VLM and image generation cold start latencies by over 85% \(down to 50s and 37s\) by optimizing inference pipelines, maximizing API throughput and enabling efficient GPU auto\-scaling\. • Trained Diffusion models across multi GPU clusters on millions of images\. Built a custom Human\-in\-the\-Loop evaluation pipeline to bypass unreliable loss graphs and ensure high fidelity production deployments\.

Research Engineer at RAx Labs, Jul 2021 \- Oct 2021 · 4 mos, Ahmedabad, Gujarat, India, • Developed an NLP pipeline and Twitter bot for real\-time research paper summarization, enhancing algorithms for sentence ranking and information extraction\. • Deployed scalable backend architectures via Docker on AWS ECS with a full observability stack \(Prometheus, Grafana, DataDog\) for production monitoring\. • Optimized heavy Elasticsearch queries indexing thousands of complex PDFs, minimizing retrieval latency for academic research data\.

AI/ML Intern at Zimyo, Mar 2021 \- Jun 2021 · 4 mos, Gurugram, Haryana, India, • Created a conversational Chat Bot it detect the sentiment and take actions accordingly\. It’s also capable of correcting user errors out of the box\. • Tensorflow, NLTK is used to train the model\. • NGINX is used to handle to requests\. • AWS ec2 used for deployment\.

## Education

BSc, Mathematics, Sabarmati University

MicroMasters, Statistics and Data Science, MITx

## Public links

- yuvraj97\.com: https://www\.yuvraj97\.com/

[View the original profile](https://tal.club/meet/yuvraj-garg-1)

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