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Sunil Vijendra

Sunil Vijendra

Fractional CTO – AI-powered Document Processing Pipeline

India flagBangalore, India
$50.00/hrEntry LevelOtherInternal Proprietary Tooling

Key Skills

Software

Other
Internal/Proprietary Tooling

Top Subject Matter

Document Intelligence
OCR Domain Expertise
Programming / Coding

Top Data Types

DocumentDocument
TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
Computer Programming/CodingComputer Programming/Coding
Function CallingFunction Calling

Freelancer Overview

Fractional CTO – AI-powered Document Processing Pipeline. Brings 27+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, MS Ramaiah Institute of Technology. AI-training focus includes data types such as Document and labeling workflows including Entity (NER) Classification.

Entry LevelEnglishKannada

Labeling Experience

Fractional CTO – AI-powered Document Processing Pipeline

OtherDocumentEntity Ner Classification
Designed and prototyped an AI-powered document processing pipeline utilizing OCR and LLM-based field extraction for automated document data capture. Developed and tested field extraction methods for unstructured documents and validated the output for accuracy and completeness. Contributed AI training expertise in document understanding and natural language recognition for startup clients. • Developed automated extraction workflows for tabular and free-text document sections • Applied OCR preprocessing with PaddleOCR on scanned and PDF documents • Evaluated LLM-generated output fields for validation and training purposes • Iterated on labeling techniques to maximize extraction accuracy while minimizing human review time

Designed and prototyped an AI-powered document processing pipeline utilizing OCR and LLM-based field extraction for automated document data capture. Developed and tested field extraction methods for unstructured documents and validated the output for accuracy and completeness. Contributed AI training expertise in document understanding and natural language recognition for startup clients. • Developed automated extraction workflows for tabular and free-text document sections • Applied OCR preprocessing with PaddleOCR on scanned and PDF documents • Evaluated LLM-generated output fields for validation and training purposes • Iterated on labeling techniques to maximize extraction accuracy while minimizing human review time

2025 - 2025

Education

M

MS Ramaiah Institute of Technology

Bachelor of Engineering, Computer Science

Bachelor of Engineering
Not specified

Work History

D

Data+AI Academy

Engineering Mentor & Coach

Bangalore
2025 - Present
A

AvisaTech Services

Engineering Lead

Bangalore
2025 - Present