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B

Britness Dev

Frontend Architect / Backend Systems Engineer in Contract Review, Compliance, and Legal Research

Singapore flagSingapore, Singapore
Entry Level

Key Skills

Software

No software listed

Top Subject Matter

Legal Services & Contract Review
Regulatory Compliance & Risk Analysis
Legal Research & Document Analysis

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Prompt Response Writing SFT

Freelancer Overview

AI/GenAI Prompt Engineer (LLM Prompt Output/RAG Pipeline). Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Tallinn University of Technology (2014). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT).

Entry Level

Labeling Experience

AI/GenAI Prompt Engineer (LLM Prompt Output/RAG Pipeline)

TextPrompt Response Writing SFT
Developed and maintained structured prompt templates and outputs for large language model (LLM) powered systems. Designed, implemented, and evaluated Retrieval-Augmented Generation (RAG) pipelines combining enterprise data sources and contextual prompt formats for AI model output consistency. Worked directly with LLM APIs (OpenAI, Azure OpenAI) to tune response generation and facilitate automated document understanding with model output benchmarking. • Implemented LLM prompt engineering and deterministic output templates • Conducted structured output evaluation and response benchmarking • Tuned AI responses for document understanding and contextual generation • Used internal/proprietary tools and Azure cloud infrastructure for AI development

Developed and maintained structured prompt templates and outputs for large language model (LLM) powered systems. Designed, implemented, and evaluated Retrieval-Augmented Generation (RAG) pipelines combining enterprise data sources and contextual prompt formats for AI model output consistency. Worked directly with LLM APIs (OpenAI, Azure OpenAI) to tune response generation and facilitate automated document understanding with model output benchmarking. • Implemented LLM prompt engineering and deterministic output templates • Conducted structured output evaluation and response benchmarking • Tuned AI responses for document understanding and contextual generation • Used internal/proprietary tools and Azure cloud infrastructure for AI development

2023 - Present

Education

T

Tallinn University of Technology

Bachelor of Science, Computer Science

Bachelor of Science
2010 - 2014

Work History

T

Takadao

Senior Software Engineer

N/A
2023 - Present
M

Magehire

Full Stack Developer

N/A
2018 - 2023