Piyush Gairola

AI Researcher

Bengaluru, Karnataka, India9 yrs 8 mos experience

Highly StableAI Enabled

Key Highlights

Over 8 years of experience in data engineering and machine learning.
Proven track record in building scalable data pipelines.
Expertise in implementing state-of-the-art NLP models.

Stackforce AI infers this person is a Data Engineering and Machine Learning expert in the Technology and Fintech sectors.

Contact

Skills

Core Skills

Machine LearningData EngineeringSoftware DevelopmentApi Development

Other Skills

Google Agent Development Kit (ADK)OpenSearchAmazon Relational Database Service (RDS)BERT (Language Model)Natural Language Processing (NLP)DatabasesLangChainOpenAirArchitectureTransformersClassificationRegression AnalysisSystems DesignDistributed SystemsProgramming

About

Highly skilled and motivated Data Engineer and Machine Learning professional with more than 8 years of experience in designing, developing, and deploying data-driven solutions. Proficient in building scalable data pipelines, implementing efficient ETL processes, and ensuring data integrity. Proven track record of successfully applying machine learning algorithms to solve real-world problems and improve predictive models

Experience

9 yrs 8 mos

Total Experience

2 yrs 11 mos

Average Tenure

10 mos

Current Experience

Jpmorganchase

Applied AI ML Associate Sr

Aug 2025 – Present · 10 mos · Bengaluru, Karnataka, India · On-site

Google Agent Development Kit (ADK)OpenSearchMachine LearningData Engineering

Cisco

Software Engineer 3

Dec 2021 – Aug 2025 · 3 yrs 8 mos · Bengaluru, Karnataka, India

Amazon Relational Database Service (RDS)BERT (Language Model)Machine LearningData Engineering

Samsung r&d institute india - bangalore private limited

Senior Software Engineer

Sep 2019 – Dec 2021 · 2 yrs 3 mos · Bengaluru, Karnataka, India

1. Researched and implemented various research papers to extract vulnerabilities in source code
2. Analysed and extracted relevant features from large amounts of C/C++ source code to optimize feature creation using graph embeddings.
3. Experimented and implemented various different state-of-art NLP models for predictive analysis.
4. Built an end-to-end efficient data modelling pipeline, thus reducing the total processing time by more than 1 hour
5. Improved the accuracy of the baseline by more than 13% by reading on the latest research on text mining, incorporating Embeddings from Word2Vec, enhancing the pre-processing techniques being employed and adding quality and relevant data.
6. Implemented various State-of-Art models like BERT, Bi-directional LSTM for different NLP tasks.
7. Established pipelines for Machine Learning model training covering data collection, pre- processing and preparation, training, validation, and testing/prediction.

BERT (Language Model)Natural Language Processing (NLP)Machine LearningData Engineering

Cgi

Software Engineer

Oct 2016 – Sep 2019 · 2 yrs 11 mos · Bengaluru, Karnataka, India

Proposed and Developed a Smartia POC. Smartia is a bot developed for Insurance Companies.
Worked as Guidewire Developer in CGI for leading Finnish based Property and Casualty Insurer.
Handled Application Maintenance activities which include: bug fixing, issue resolution, minor enhancements, and customization of Guidewire ClaimCenter.
Involved in Developing and maintaining UI related PCF’s, Writing rules, Configuring various xml’s and Integration points, which are related to Claim Center.

API DevelopmentDatabasesSoftware Development