Kennedy A.

Key Skills

Software

Labelbox

Top Subject Matter

Customer support analytics

privacy/PII annotation

sentiment and intent classification.

Top Data Types

Text

Image

Video

Top Task Types

Entity (NER) Classification

Function Calling

Data Collection

Question Answering

Bounding Box

RLHF

Prompt + Response Writing (SFT)

Segmentation

Classification

Freelancer Overview

Forage Academy – Data Labeling Job Simulation (Data labeling). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Internal, and Proprietary Tooling. Education includes Advanced AI Data Trainer Mastery, Aidra Labs Team (2026) and AWS Certified AI Practitioner, Amazon Web Services (AWS) (2025). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Entity (NER) Classification, Function Calling, and Data Collection.

Labeling Experience

AI response evaluation

TextRLHF

During this evaluation you will be presented with a prompt used to ask general questions to AI models. You will also be provided with 3 different AI model responses to each prompt. The job is to evaluate each of the 3 model responses and to judge which AI model response is best. The best response is rated on 6 individual dimensions plus an overall rating. The dimensions are as follows: Instruction Following: How well the model response adhered to prompt requirements. Truthfulness: Factual correctness and completeness of the model response. Correctness: Whether the technical claims and reasoning in the model response is logically sound. Writing Quality: Whether the AI model response was delivered in a useful, digestible way. Verbosity: How well you liked the length / chattiness of the model’s response. Overall Quality: Your holistic assessment of how well the model response is considering all dimensions.

2026 - 2026

Advanced AI Data Trainer Mastery

VideoSegmentation

This is a video data labeling segmentation where the video is divided into meaningful parts and labeling the actions, objects and events happening overtime. The focus is usually on the actions performed in the video. The video is broken into smaller time sections and assigning label to each action.

2026 - 2026

BCG – GenAI Financial Chatbot Job Simulation

Don't discloseQuestion Answering

Built a Python-based financial chatbot using corporate filings as the knowledge source. Applied pandas and rule-based logic to extract and compute financial insights. Focused on delivering structured responses grounded in 10-K/10-Q data. • Implemented chatbot logic in Python. • Parsed and processed 10-K/10-Q data. • Used pandas for data manipulation and insights generation. • Applied rule-based reasoning for financial Q&A outputs.

2025 - 2025

Tata Group – GenAI Powered Data Analytics Job Simulation

Don't discloseTextData Collection

Performed exploratory data analysis to support predictive modeling for delinquency risk and related collections strategies. Translated analytics outputs into an AI-driven ethical collections framework proposal. Worked on designing predictive frameworks using structured datasets. • Conducted EDA for delinquency risk signals. • Proposed predictive frameworks for risk estimation. • Designed an AI-driven ethical collections strategy. • Evaluated business-impact considerations for proposed approaches.

2025 - 2025

AI Agent Developer Intern (Remote) – NeuralSeek

TextFunction Calling

Developed and tested AI agents using LLMs with retrieval- and generation-oriented workflows. Applied responsible AI principles while building agent behavior and knowledge-base capabilities. Focused on prompt engineering and fine-tuning approaches for business use cases. • Implemented RAG/CAG-based agent workflows. • Contributed to knowledge-base data integrity and security controls. • Performed prompt engineering for agent tasks. • Applied model fine-tuning for target business scenarios.

2025 - 2025

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Education

Work History