
anu chandru
@anuchandru
I build accurate, LLM-ready training datasets and scalable validation workflows for machine learning pipelines.
What I'm looking for
At Amazon Development Centre India, I annotate, validate, and structure datasets for document intelligence, machine learning, and LLM training workflows. I've processed 1,000+ documents and improved dataset accuracy by 25% through detailed audits and validation checks.
I've supported Q-BizAutomate, Keystone, and BDA by building LLM-ready workflow datasets, validating VQA and classification data, and resolving ingestion issues. I work with AWS S3, SageMaker, and CloudWatch to deliver consistent, training-ready data at scale.
Experience
Work history, roles, and key accomplishments
Annotated 1,000+ documents for document intelligence models, ensuring high accuracy and consistency. Supported preparation and delivery of large-scale datasets for machine learning and LLM training workflows.
Data Associate
RR Donnelley Outsource India Pvt Ltd
Dec 2019 - Feb 2021 (1 year 2 months)
Processed and validated large enterprise datasets maintaining 99%+ data accuracy. Performed structured data cleansing, verification, and consistency checks ensuring high-quality deliverables.
Education
Degrees, certifications, and relevant coursework
D.G Vaishnav College
MCA, Computer Application
Grade: 92%
Completed MCA in Computer Application with a GPA of 92%.
Google GenAI, GenAI
Certification in Google GenAI.
Amazon Web Services
AWS Machine Learning Engineer, Machine Learning
Certification as AWS Machine Learning Engineer.
University of Madras
BSc, Computer Science
Grade: 86%
Completed BSc in Computer Science with a GPA of 86%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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