Nikki Danella

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Lionbridge

OneForma

Telus

Top Subject Matter

Cybersecurity

3D Modelling/Geometry

Transcription/Captioning

Top Data Types

Image

Text

Video

Top Task Types

Action Recognition

Audio Recording

Data Collection

Prompt Response Writing SFT

Text Generation

Freelancer Overview

As an AI Research Scientist and LLM Data Analyst, I have collaborated with leading tech companies such as Google, Microsoft, Apple, Meta (Facebook/Instagram), and TikTok on over 150 AI and machine learning projects. My work focuses on social media and search engine data analysis, resulting in significant improvements in content algorithm performance and safety. I am passionate about leveraging artificial intelligence to drive innovation in the cybersecurity field, and my diverse skill set enables me to navigate complex challenges in both public and private sectors. In specific projects like Aralia, I monitored AI Large Language Model responses, ensuring their accuracy and relevance while identifying data sources for business needs. I also engaged in data visualization and error analysis to enhance model performance. In Project Touchet, I assessed user-generated content on major social platforms, ensuring compliance with guidelines and providing insights to optimize recommendation algorithms. Additionally, my work on Project Whatcom involved executing analytical experiments and evaluating search engine results to improve user experience across various metrics. My ambition is to continue applying my expertise in AI and machine learning to create impactful solutions in cybersecurity and data analytics.

Labeling Experience

Whatcom

AppenDocumentBounding BoxSegmentation

In the Whatcom project, I executed analytical experiments to address various challenges across multiple industries. My role involved evaluating search engine results and keyword-query pairs to assess their relevance, significantly contributing to enhancing user experience. By analyzing hundreds of data metrics as requested by project clients, I provided insights that drove improvements in search performance and tailored solutions to meet client needs.

In the Whatcom project, I executed analytical experiments to address various challenges across multiple industries. My role involved evaluating search engine results and keyword-query pairs to assess their relevance, significantly contributing to enhancing user experience. By analyzing hundreds of data metrics as requested by project clients, I provided insights that drove improvements in search performance and tailored solutions to meet client needs.

2024 - 2024

Touchet

AppenVideoRelationshipClassification

In the Touchet project, I focused on assessing and classifying user and colleague-generated content across major social media platforms, applying autonomous judgment to ensure compliance with community guidelines and terms of service. This involved a keen understanding of platform policies and the ability to make informed decisions regarding content suitability. Additionally, I provided valuable insights through user data and metrics, which contributed to the enhancement of content recommendation algorithms for platforms such as Facebook, Instagram Reels, and TikTok. My work aimed to optimize user engagement and ensure a safer, more compliant online environment, ultimately supporting the platforms' objectives and improving user experience.

In the Touchet project, I focused on assessing and classifying user and colleague-generated content across major social media platforms, applying autonomous judgment to ensure compliance with community guidelines and terms of service. This involved a keen understanding of platform policies and the ability to make informed decisions regarding content suitability. Additionally, I provided valuable insights through user data and metrics, which contributed to the enhancement of content recommendation algorithms for platforms such as Facebook, Instagram Reels, and TikTok. My work aimed to optimize user engagement and ensure a safer, more compliant online environment, ultimately supporting the platforms' objectives and improving user experience.

2024 - 2024

Aralia

AppenTextClassificationText Generation

In the Aralia project, I played a crucial role in monitoring and enhancing the output of AI Large Language Models (LLMs). My responsibilities included engaging with colleagues to ensure the accuracy, safety, and relevance of generated responses, as well as flagging any issues that arose. I identified pertinent data sources to meet client business needs, utilizing both structured and unstructured datasets for comprehensive analysis and visualization. Additionally, I worked on devising and parsing LLM and AI/ML models to effectively mine big-data stores. My role involved performing data and error analysis to refine these models, alongside cleaning and validating data to maintain uniformity and accuracy. This multifaceted approach contributed to optimizing model performance and delivering actionable insights for clients.

In the Aralia project, I played a crucial role in monitoring and enhancing the output of AI Large Language Models (LLMs). My responsibilities included engaging with colleagues to ensure the accuracy, safety, and relevance of generated responses, as well as flagging any issues that arose. I identified pertinent data sources to meet client business needs, utilizing both structured and unstructured datasets for comprehensive analysis and visualization. Additionally, I worked on devising and parsing LLM and AI/ML models to effectively mine big-data stores. My role involved performing data and error analysis to refine these models, alongside cleaning and validating data to maintain uniformity and accuracy. This multifaceted approach contributed to optimizing model performance and delivering actionable insights for clients.

2024 - 2024

Education

Work History