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Allenvincent raj s

@allenvincentrajs

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Machine learning specialist focused on LLM optimization and prompt engineering.

India

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What I'm looking for

I seek roles leveraging LLM optimization, prompt engineering, and MLOps in collaborative teams focused on ethical AI, clear documentation, and measurable product impact.

I am a machine learning professional with 3.9 years of experience at AWS, specializing in LLM optimization, prompt engineering, and ethical AI development.

At AWS I spearheaded prompt testing for multiple foundation models, improving output quality by 30%, and optimized LLM training pipelines to reduce data processing time by 25% while maintaining 98% content moderation accuracy on high-volume workflows.

I have scaled moderation systems to handle millions of monthly UGC items, developed QA protocols that cut labeling errors by 40%, and authored 15+ annotation guidelines adopted as team standards. I work hands-on with AWS Bedrock, SageMaker, MLOps practices, and basic Python.

I am completing an MBA to strengthen my business acumen and bridge technical delivery with product and strategy. I bring a pragmatic, documentation-first approach and a commitment to building responsible, high-quality AI systems.

Experience

Work history, roles, and key accomplishments

Current

ML Data Associate I

Current

Amazon Web Services

Sep 2021 - Present (3 years 11 months)

Led prompt testing for 5+ foundation models, improving output quality by 30%, optimized LLM training pipelines to reduce data processing time by 25%, and maintained 98% moderation accuracy while processing 10K+ daily data points. Authored 15+ annotation guidelines adopted as team standards.

Sagemaker Prompt Engineering MLOps Content Moderation Python Technical Documentation Data Processing

Content Moderator (ML Systems)

Amazon Web Services

Apr 2019 - Sep 2021 (2 years 5 months)

Scaled moderation system to handle 2M+ monthly UGC and developed QA protocols that reduced labeling errors by 40%. Improved moderation throughput and contributed to system scalability for ML labeling pipelines.

Content Moderation Scalability Data Labeling Process Improvement MLOps

Editorial Intern

Emerald Publishing House

Dec 2020 - Jan 2021 (1 month)

Streamlined editorial workflows for three academic journals, improving editorial efficiency and turnaround times. Supported manuscript processing and coordination across editorial teams.

Coordination Quality Assurance Communication Process Optimization