---
title: "Hardik Jain - Applied AI Research Engineer in Bengaluru | Tal"
description: "Meet Hardik Jain, Applied AI Research Engineer @ Google Cloud | Former Apple based in Bengaluru. AI stack includes antigravity, cursor, and hugging face."
image: "https://tal.club/meet/hardik-jain/share-image"
---

# Hardik Jain on Tal

## Headline

Applied AI Research Engineer @ Google Cloud \| Former Apple

## About

Crafting custom AI solutions across diverse industries for 5\+ years at Google Cloud and Apple, I bring expertise in model development \(LLMs, BERT\) and scalable MLOps pipelines\. With a proven track record of delivering impactful AI solutions across various sectors \(automobile, healthcare, etc\.\), I'm driven by seeking out fresh perspectives to fuel innovative AI that enhances the end\-user experience\.

## Location

Bengaluru

## AI stack

antigravity

cursor

hugging face

opencode

## Work experience

Applied AI Research Engineer at Google, Apr 2025 \- Present · 1 yr 4 mos, Bengaluru, Karnataka, India

AI Engineer at Google, Oct 2021 \- Apr 2025 · 3 yrs 7 mos, Mumbai, Maharashtra, India, \- Built a fashion trend spotting model for a high priority customer in India to identify trending styles globally using 1M images weekly\. \- Worked with a healthcare client for Google Cloud with Health AI research to productionize radiotherapy models using MLOps\. \- Improved prediction of sales and inventory by 70% by developing a demand forecasting model for a fashion retail brand\. \- Built a custom model to predict a car's drag coefficient with <2% error, leading to a project potentially worth >$1M for Google Cloud\. \- Fine tuning multiple open source LLMs and tokenizers to enhance their performance on specific languages\.

AI/ML Software Engineer at Apple, Jan 2020 \- Mar 2021 · 1 yr 3 mos, Cupertino, California, United States, \- Created a prototype for a new Siri feature, from ETL to query understanding and end\-user experience\. \- Reduced false triggers on Airpods connections by 73% using deep learning\. \- Developed a BERT model with 92% accuracy in identifying demonstrative pronouns based on context in user utterances\. \- Improved contextual understanding for a feature by 5% using multitask learning and input feeding in NLP\.

SDE Intern at Amazon Lab126, May 2019 \- Oct 2019 · 6 mos, Sunnyvale, California, United States, \- Worked on logging business metrics for Alexa Notifications and help visualise those metrics for PMs to make important business decisions based on impact and performance of the feature\. \- Designed and implemented a workflow that would log metrics from the service code and store them to Amazon Redshift \(Data Warehouse\) using Kinesis Streams on AWS\. \- Used Amazon QuickSight as a tool for pulling data from Redshift and visualising it using interactive graphs\.

Student Helper \(RA\) at University of Southern California \- Marshall School of Business, Jan 2019 \- Mar 2019 · 3 mos, Los Angeles, California, United States, Worked on a project which involves gathering data from the internet and applying Data Mining and Machine Learning techniques to learn and predict some important events\. Used Selenium for Web Scraping and downloading HTMLs\. Implemented techniques like word2vec, random forests etc\. for text and document classification\.

Backend Developer Intern at web2success, Jul 2017 \- Oct 2017 · 4 mos, Vidyavihar, Mumbai, Worked on different android applications using android studio and web applications using Django

## Education

Master of Science \- MS, Computer Science, University of Southern California

Bachelor's degree in Computer Science, Computer Science, KJ Somaiya College of Engineering, Vidyavihar

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

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