Parth D.

Key Skills

Software

Other

Top Subject Matter

Natural Language Processing (NLP) - Data Classification

Technical Documentation Summarization and Annotation

Top Data Types

Text

Top Task Types

Classification

Text Summarization

Freelancer Overview

Research Associate - Data Engineer (NLP Data Classification, Applied Research Centre, Conestoga College). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Jupyter and Other. Education includes Ontario College Graduate Certificate, Conestoga College (2020) and Bachelor of Engineering, Gujarat Technological University Ahmedabad (2017). AI-training focus includes data types such as Text and labeling workflows including Classification and Text Summarization.

Labeling Experience

Developer (DevDocBuddy – AI Documentation Assistant)

OtherTextText Summarization

As the developer of DevDocBuddy, I built features that automated summarization and Q&A of technical documents using AI models. I applied retrieval-based pipelines and integrated LLMs for generating plain-English summaries and annotated answers. My work included implementing chunk-level citation annotation to assure information traceability. • Leveraged OpenAI and HuggingFace model integrations for advanced document processing. • Enabled AI-driven text summarization from diverse document sources. • Implemented citation annotation for answer provenance. • Deployed and tested automated annotation workflows within the application.

2022 - 2022

Research Associate - Data Engineer (NLP Data Classification, Applied Research Centre, Conestoga College)

TextClassification

I designed and implemented NLP workflows for data classification tasks as a Research Associate - Data Engineer. My responsibilities included constructing Python ETL pipelines and producing analysis-ready datasets with an emphasis on data quality and reproducibility. I collaborated with research stakeholders to deliver clean, annotated datasets for downstream analysis. • Led the use of Pandas and scikit-learn for workflow automation. • Produced datasets and visualizations as annotated research outputs. • Focused on correct text classification for research objectives. • Communicated results to stakeholders via clean deliverables.

2020 - 2021

Education

Work History