Hardik Jain

AI Researcher

Bengaluru, Karnataka, India5 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

5+ years of experience in AI solutions.
Proven track record in MLOps and model development.
Expertise in delivering impactful AI across industries.

Stackforce AI infers this person is a SaaS AI specialist with extensive experience in machine learning and natural language processing.

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Skills

Core Skills

Artificial Intelligence (ai)Machine LearningMlopsNatural Language Processing (nlp)Deep LearningSoftware Engineering

Other Skills

Large Language Models (LLM)Google Cloud Platform (GCP)GenAITensorFlowProblem SolvingCode ReviewCommunicationAnalytical SkillsSoftware Engineering PracticesBERT (Language Model)JavaSystems DesignAmazon QuickSightAWSInformation Retrieval

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.

Experience

5 yrs 10 mos

Total Experience

2 yrs 11 mos

Average Tenure

4 yrs 8 mos

Current Experience

Google

2 roles

Applied AI Research Engineer

Apr 2025 – Present · 1 yr 2 mos

Large Language Models (LLM)Artificial Intelligence (AI)Machine Learning

AI Engineer

Oct 2021 – Apr 2025 · 3 yrs 6 mos

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.

Large Language Models (LLM)Machine LearningML OpsDeep LearningGoogle Cloud Platform (GCP)GenAI+7

Apple

AI/ML Software Engineer

Jan 2020 – Mar 2021 · 1 yr 2 mos · Cupertino, California, United States · On-site

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.

Deep LearningBERT (Language Model)Natural Language Processing (NLP)TensorFlowProblem SolvingCode Review+2

Amazon lab126

SDE Intern

May 2019 – Oct 2019 · 5 mos · Sunnyvale, California, United States · On-site

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.

JavaSystems DesignSoftware Engineering PracticesAnalytical SkillsCode ReviewSoftware Engineering

University of southern california - marshall school of business

Student Helper (RA)

Jan 2019 – Mar 2019 · 2 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.

Web2success

Backend Developer Intern

Jul 2017 – Oct 2017 · 3 mos · Vidyavihar, Mumbai

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

Capgemini

Software Development Intern

Dec 2015 – Dec 2015 · 0 mo · Mumbai Area, India

I was in the team working on a mobile application exclusively for Capgemini employees all over the world on the IBM Connections platform which included authentication of users trying to access the application using Digital certificates. I also developed a complete Library Management System using J2EE when I was there.