Sahil Jadhav

Key Skills

Software

Google Cloud Vertex AI

Appen

OneForma

Top Subject Matter

Consultancy

Finance

Energy Sector

Top Data Types

Text

Top Task Types

Entity Ner Classification

Classification

Text Summarization

Transcription

Function Calling

Object Detection

Freelancer Overview

WhatsApp Chatbot AI Data Labeling and Entity Extraction (GTT Data Solutions). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Google Cloud Vertex AI. Worked on an Internal Data classification project Education includes Master of Science, Nilkamal School Of Mathematics, Applied Statistics And Analytics, SVKM’s Narsee Monjee Institute Of Management Studies, Mumbai (2023) and Bachelor of Science, Guru Nanak Khalsa College And St. Xavier’s College, Mumbai University (2023). AI-training focus includes data types such as Text and labeling workflows including Entity (NER)

Labeling Experience

WhatsApp Chatbot AI Data Labeling and Entity Extraction (GTT Data Solutions)

Google Cloud Vertex AITextEntity Ner Classification

Worked on automating donor workflows with intelligent intent classification on WhatsApp chat data for an NGO using AI. Developed and deployed entity extraction and multi-turn conversation AI to classify intent, extract entities like payment details, and drive downstream workflow automation. Leveraged OCR and natural language understanding to structure large volumes of unstructured chat inputs for use in ERP, ticket routing, and KYC operations. • Labeled and classified 50+ intent categories in donor conversations, developing robust entity extraction techniques for PAN, Aadhar, addresses, and more. • Annotated data for training AI models and conversational engines, including conversations in multiple languages (Hindi Devanagari/Latin, English, Hinglish). • Used Google Cloud Vertex AI and Gemini AI to build, label, and validate entity recognition models. • Improved data completeness and automation through structured annotation and model feedback cycles.

Worked on automating donor workflows with intelligent intent classification on WhatsApp chat data for an NGO using AI. Developed and deployed entity extraction and multi-turn conversation AI to classify intent, extract entities like payment details, and drive downstream workflow automation. Leveraged OCR and natural language understanding to structure large volumes of unstructured chat inputs for use in ERP, ticket routing, and KYC operations. • Labeled and classified 50+ intent categories in donor conversations, developing robust entity extraction techniques for PAN, Aadhar, addresses, and more. • Annotated data for training AI models and conversational engines, including conversations in multiple languages (Hindi Devanagari/Latin, English, Hinglish). • Used Google Cloud Vertex AI and Gemini AI to build, label, and validate entity recognition models. • Improved data completeness and automation through structured annotation and model feedback cycles.

2023 - Present

Education

Work History