Abhay K.

Key Skills

Software

Other

Top Subject Matter

Bias detection in documents

document-level annotation for content review

Policy document bias detection

Top Data Types

Document

Image

Top Task Types

Entity (NER) Classification

Classification

Freelancer Overview

Product Engineering Intern, Deloitte India (Jan 2024–Jun 2024). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Technology, The LNM Institute of Information Technology, Jaipur (2024). AI-training focus includes data types such as Document and labeling workflows including Entity (NER) Classification and Classification.

Labeling Experience

Product Engineering Intern, Deloitte India (Jan 2024–Jun 2024)

DocumentEntity (NER) Classification

Automated inline highlighting of LLM-detected biased phrases within DOCX and PDF documents to produce review-ready annotated outputs. The work involved generating labeled documents for downstream content review and correction workflows. It supported faster and more accurate manual assessment by attaching annotations directly to the source text. • Labeled biased or sensitive phrases within DOCX and PDF files • Produced downloadable annotated documents for reviewer workflows • Used document processing to inject highlight annotations • Enabled more efficient content review through automated labeling

2024 - 2024

Product Engineering Intern (Summer), Deloitte India (May 2023–Jul 2023)

OtherDocumentClassification

Built a bias-detection proof of concept to scan policy documents for demographic-related phrases, effectively generating classification-style signals from text. The approach used string matching over a trie-based structure to locate relevant terms associated with gender, age, and race. This constituted AI training/labeling support by identifying and extracting candidate biased phrases from unstructured documents. • Scanned policy documents for gender/age/race-related phrase matches • Implemented Aho–Corasick string matching using a trie structure • Generated candidate bias indicators from document text • Supported early-stage evaluation of bias detection on policy corpora

2023 - 2023

Education

Work History