Hardik Jain profile photo 1 on Tal

Hardik Jain

Applied AI Research Engineer @ Google Cloud | Former Apple

Bengaluru

7+ years of work experience

Google
Apr 20251 yr 4 mosPresent

Bengaluru, Karnataka, India

Google
Oct 20213 yrs 7 mosApr 2025

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.
Apple
Jan 20201 yr 3 mosMar 2021

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.
Amazon Lab126
May 20196 mosOct 2019

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.
University of Southern California - Marshall School of Business
Jan 20193 mosMar 2019

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.
web2success
Jul 20174 mosOct 2017

Vidyavihar, Mumbai

Worked on different android applications using android studio and web applications using Django

Hardik’s AI Stack

antigravity
antigravity
cursor
cursor
hugging face
hugging face
opencode
opencode

Education

University of Southern California

Master of Science - MS, Computer Science

University of Southern California

20181 yr2019
KJ Somaiya College of Engineering, Vidyavihar

Bachelor's degree in Computer Science, Computer Science

KJ Somaiya College of Engineering, Vidyavihar

20134 yrs2017

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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