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Hillary Prince

Hillary Prince

NLP Sentiment Analysis System — Solo Project

Nigeria flagRemote, Nigeria
$15.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

Sentiment Analysis
Nlp Domain Expertise
Text Classification

Top Data Types

TextText
VideoVideo
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

Python developer and NLP specialist with hands-on experience building, training, and evaluating machine learning models for text classification tasks. Built and deployed a production sentiment analysis system using Naïve Bayes and Logistic Regression classifiers trained on labelled datasets — covering the full pipeline from data preprocessing and annotation to model evaluation and API deployment. Additionally experienced in LLM response evaluation through integrating and prompt-engineering Groq/Llama 3.3 70B in a production platform. Detail-oriented, remote-capable, and comfortable working with large datasets and annotation workflows independently.

IntermediateEnglish

Labeling Experience

LLM Integration & Response Evaluation — FlowState Platform

OtherText
I evaluated outputs from LLMs (Groq/Llama 3.3 70B) integrated into a production platform, focusing on improving model-generated responses. The role involved creating and iterating on prompts, providing structured feedback, and scoring outputs for accuracy and quality. I applied best practices in model evaluation workflows analogous to RLHF-style trainer tasks. • Designed prompt variations and ran response evaluations • Used structured quality scoring for model responses • Provided feedback loops to improve accuracy of LLM outputs • Benchmarked and compared LLM responses for productivity tasks

I evaluated outputs from LLMs (Groq/Llama 3.3 70B) integrated into a production platform, focusing on improving model-generated responses. The role involved creating and iterating on prompts, providing structured feedback, and scoring outputs for accuracy and quality. I applied best practices in model evaluation workflows analogous to RLHF-style trainer tasks. • Designed prompt variations and ran response evaluations • Used structured quality scoring for model responses • Provided feedback loops to improve accuracy of LLM outputs • Benchmarked and compared LLM responses for productivity tasks

2026 - Present

NLP Sentiment Analysis System — Solo Project

OtherTextClassification
I labelled text datasets with sentiment classes for supervised machine learning model training. My work included data collection, cleaning, annotation, and hands-on involvement in the full pipeline for sentiment classification. I deployed the trained model in a production REST API setting and ensured high label quality throughout the project. • Labelled text data for positive, negative, and neutral sentiment categories • Performed text preprocessing: tokenization, stopword removal, stemming, and vectorization • Selected and evaluated best-performing models using accuracy and F1 scores • Deployed live sentiment analysis system for real-time inference

I labelled text datasets with sentiment classes for supervised machine learning model training. My work included data collection, cleaning, annotation, and hands-on involvement in the full pipeline for sentiment classification. I deployed the trained model in a production REST API setting and ensured high label quality throughout the project. • Labelled text data for positive, negative, and neutral sentiment categories • Performed text preprocessing: tokenization, stopword removal, stemming, and vectorization • Selected and evaluated best-performing models using accuracy and F1 scores • Deployed live sentiment analysis system for real-time inference

2024 - 2024

Education

A

ALX Africa

Certificate, Backend Engineering

Certificate
2026 - 2026
F

Federal University of Technology, Owerri

Bachelor of Technology, Computer Science

Bachelor of Technology
2022

Work History

N

Nexusbotix

Backend Developer

Remote
2026 - Present
R

Remote Client

Frontend Developer

Remote
2026 - 2026