Yashraj G.

Key Skills

Software

Other

Top Subject Matter

Enterprise document processing and GenAI workflow evaluation

Top Data Types

Document

Text

Image

Top Task Types

Transcription

Freelancer Overview

Associate AIML Engineer - AP Moller Maersk. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, The National Institute of Engineering Mysuru (2025) and Class 12, Macro Vision Academy Burhanpur (2021). AI-training focus includes data types such as Document and Text and labeling workflows including Evaluation, Rating, and OCR.

Labeling Experience

Associate AIML Engineer - AP Moller Maersk

TextTranscription

As an Associate AIML Engineer, you design, implement, and deploy enterprise generative AI workflows that process large volumes of documents. You build and maintain LangGraph-based AI agents to generate insights and produce data-driven reports and visualizations. You also lead evaluation and quality assurance for LLM outputs to improve accuracy, reliability, and reduce hallucinations. • Built OCR and LLM-based extraction pipelines with automated validation • Developed a LangGraph insights agent for large-scale table analysis and reporting • Implemented LLM evaluation workflows for quality, accuracy, and hallucination reduction • Improved user-facing analytics experience and performance using efficient state management

2025 - Present

AP Moller Maersk — Associate AIML Engineer (Aug 2025 - Present)

OtherDocument

Built and deployed enterprise GenAI workflows that process 5,000+ documents per day using OCR-based extraction and automated validation pipelines. Implemented evaluation workflows for LLM outputs to assess response quality, accuracy, reliability, and hallucination reduction. Contributed to improving extraction correctness and downstream analytics readiness for enterprise document processing. • OCR and LLM-based information extraction from documents • Automated validation pipeline design and deployment • LLM output evaluation for quality and factuality • Hallucination reduction focus in generative responses

2025 - Present

Education

Work History