Kenn C.

Key Skills

Software

Mercor

AWS SageMaker

Appen

Clickworker

CrowdSource

iMerit

Labelbox

Mindrift

Remotasks

Playment

Label Studio

Top Subject Matter

Artificial Intelligence for business strategy

Coding and Medical Expertise

Economics, Chemistry, Biology, Management, Finance, Physics

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

Prompt + Response Writing (SFT)

Fine-tuning

Data Collection

Transcription

Text Summarization

Computer Programming/Coding

Evaluation/Rating

Object Detection

Text Generation

Classification

Segmentation

Freelancer Overview

Artificial Intelligence: Machine Learning and Software Engineer (LLM/Generative AI development) at Mercor Intelligence I. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Mercor, Telus, and N. Education includes Master of Business Administration, University of San Francisco (2025) and Bachelor of Science, University of San Francisco (2025). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Prompt + Response Writing (SFT), Fine-tuning, and Evaluation.

Labeling Experience

Data Annotator for LLM

TextData Collection

LLM Annotation and Data Collection

2024 - 2026

Generative AI- Large Language Models Developer and AI Specialist (Math & Economics) at Telus Digital AI Solution

TelusFine-tuning

Leveraged Large Language Models (LLMs) to build intelligent solutions in mathematics and economics using NLP techniques. Conducted engineering and supervised fine-tuning (SFTs) for problem-solving in advanced math and economics. Implemented full-text search (FTS) capabilities to support information retrieval for the generated solutions. • Supervised fine-tuning (SFT) for math/economics problem-solving • Full-text search (FTS) integration • Natural-language explanations and visualizations of concepts • LLM/NLP development tailored to mathematics and economics

2025 - 2025

Artificial Intelligence: Machine Learning and Software Engineer (LLM/Generative AI development) at Mercor Intelligence Inc.

MercorPrompt + Response Writing (SFT)

Engineered Generative AI and Large Language Model (LLM) applications using prompt engineering, evaluation, and inference optimization. Developed and deployed machine learning and deep learning models with Python frameworks to support predictive analytics and intelligent decision systems. Built end-to-end AI workflows including data processing for econometric modeling and business strategy support. • Prompt engineering for LLM application behavior • Model evaluation and inference optimization • Predictive analytics and intelligent system development • Data pipelines for scientific data computing workflows

2025 - 2025

Research Data Networking: Comparative Analysis of Neural Network Models for Low-Resource Language Generation (University of San Francisco)

Text

Performed research on comparative analysis of neural network models for low-resource language generation. Evaluated model behavior for low-resource settings to support conclusions on model suitability and performance tradeoffs. Used data-driven experimentation to support the dissertation-related research trajectory. • Comparative evaluation of neural network models • Low-resource language generation analysis • Experimental methodology for model performance • Research documentation for findings

2024 - 2025

Prompt response writer

TextFine-tuning

LLM Data Annotation and Prompt Writing

2023 - 2025

Education

Work History