Parth B.

Key Skills

Software

Label Studio

Data Annotation Tech

CVAT

Argilla

Labelbox

Top Subject Matter

AI output evaluation and outreach/lead research content quality

B2B SaaS outreach research

Summarization Domain Expertise

Top Data Types

Text

Image

Document

Top Task Types

Prompt + Response Writing (SFT)

Evaluation/Rating

RLHF

Text Generation

Question Answering

Text Summarization

Classification

Entity (NER) Classification

Data Collection

Freelancer Overview

AI-Assisted Productivity, Evaluation & Quality Assessment (Self-Initiated Project / Independent Learning). Core strengths include ChatGPT, Google Sheets, and Microsoft Excel. Education includes Bachelor of Technology, COEP Technological University (2028). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Diagnosis.

Labeling Experience

Practice Systems: Personalized Cold Outreach, Instruction Adherence, and Response Improvement (Self-Initiated Project)

TextPrompt + Response Writing (SFT)

Practiced structured prompting and response generation workflows to improve personalization, instruction adherence, and communication quality. Compared AI-generated outreach outputs for effectiveness and accuracy, then revised responses to reduce errors and improve clarity. Produced detailed written assessments and improvement suggestions based on evaluation results. • Crafted and iterated prompts for personalized cold outreach • Compared multiple AI outputs and selected higher-quality responses • Ensured outputs followed detailed instructions and communication guidelines • Produced written evaluation notes and actionable suggestions for improvements

2024 - 2024

AI-Assisted Funnel Diagnostics, Outreach & Lead Research (Self-Initiated Project)

TextDiagnosis

Conducted AI-assisted research and structured diagnostics for simulated B2B SaaS funnel performance and pipeline bottlenecks. Used AI tools to summarize company information, identify decision-makers, and classify outreach content. Evaluated qualification and conversion effectiveness using structured workflows and root-cause analysis. • Analyzed simulated sales funnels to locate pipeline bottlenecks • Researched companies and generated outreach-relevant summaries • Classified outreach content using structured reasoning steps • Assessed lead qualification and conversion effectiveness against criteria

2024 - 2024

AI-Assisted Productivity, Evaluation & Quality Assessment (Self-Initiated Project / Independent Learning)

Text

Worked on AI-assisted output evaluation and quality assessment using structured checklists and detailed instructions. Focused on verifying accuracy, coherence, and inconsistencies in generated responses and outreach-related content. Performed iterative refinement by analyzing feedback and improving response quality. • Evaluated AI-generated outputs for correctness, clarity, and engagement patterns • Applied attention-to-detail checks to identify inconsistencies and errors • Documented improvements and suggested edits to enhance response effectiveness • Used structured reasoning workflows to assess outputs against criteria

2024 - 2024

Education

Work History