---
title: "Vaishnav Damani - AI Engineer in India | Tal"
description: "Meet Vaishnav Damani, AI Engineer at Qure.ai | AI ML | LLMs | Image Processing Pipelines | HFT Enthusiast based in India. AI stack includes claude code, claude, and codex. Explore public work links including github."
image: "https://tal.club/meet/vaishnav-damani/share-image"
---

# Vaishnav Damani on Tal

## Headline

AI Engineer at Qure\.ai \| AI ML \| LLMs \| Image Processing Pipelines \| HFT Enthusiast

## About

Engineer building intelligent systems at scale\. Passionate about solving real\-world problems with AI, GenAI, and thoughtful design\. Strong believer in end\-to\-end ownership, from prototypes to production, and deeply interested in the HFT space\.

## Location

India

## AI stack

claude code

claude

codex

hugging face

OpenRouter

Portkey

## Work experience

AI Engineer at Qure\.ai, Apr 2024 \- Present · 2 yrs 5 mos, Bengaluru, Karnataka, India, Spearheaded the productionization of 50\+ AI models, enabling detection of 30\+ abnormalities in chest X\-rays, deployed across 1,000\+ sites in 80\+ countries, serving millions of patients annually\. Designed and implemented preprocessing and post processing pipelines capable of handling 10,000\+ images daily, ensuring seamless integration and robust model performance\. Collaborated with cross\-functional teams to reduce pipeline latency by 30%, enhancing diagnostic throughput and delivering results in under 3 seconds per image\. Conducted rigorous testing and validation, ensuring compliance with healthcare standards\.

Senior Software Engineer at Nasdaq, Jul 2022 \- Mar 2024 · 1 yr 9 mos, Hybrid, Collaborating with the Investor Relations team to design and develop cutting\-edge microservices to help users manage portfolios\. Led the successful integration of Elastic Search in a news ETL microservice, resulting in a significant improvement in search performance and efficiency\. Developed an Elastic Search index to query over 1 million news articles, and implemented optimized mappings for faster data retrieval\. Focused on the extraction of textual data from PDF documents, showcasing adeptness in data extraction methodologies\.

SWE Intern at Nasdaq, Feb 2022 \- Jul 2022 · 6 mos, Remote, Managed the successful migration of resources from one AWS account to another, utilizing Terraform, Docker, and Kubernetes to ensure a smooth and efficient transition\. Worked on an internal tool to generate & download SSRS reports\.

## Education

Bachelor of Technology \- BTech, Computer Engineering, Dwarkadas J\. Sanghvi College of Engineering

## Public links

- github: https://github\.com/vaish3496

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

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