Aditya Athavale

Key Skills

Software

Google Cloud Vertex AI

Top Subject Matter

Enterprise AI workflow automation and optimization

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Document

Top Task Types

Prompt Response Writing SFT

Freelancer Overview

Director – Systems Integrations (AI Training/Prompt Engineering). Brings 16+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Google Cloud Vertex AI. Education includes Master of Business Administration, Franklin University (2016) and Bachelor of Arts, University of Michigan – Dearborn (2012). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT).

Labeling Experience

Director – Systems Integrations (AI Training/Prompt Engineering)

Google Cloud Vertex AITextPrompt Response Writing SFT

Led the development and deployment of production AI agents utilizing retrieval-augmented generation (RAG) and prompt engineering on Vertex AI. Created comprehensive AI training materials, policies, and intake processes to support enterprise-wide AI performance and reliability. Oversaw company-wide rollout of Cursor AI with internally built resources and training protocols.• Designed prompt templates and evaluated AI outputs for optimal agent performance • Authored and maintained generative AI policy for enterprise usage and compliance • Developed and refined training workflows, including version control and automated pipelines • Monitored and assured consistent AI model quality through performance analytics and retraining cycles

Led the development and deployment of production AI agents utilizing retrieval-augmented generation (RAG) and prompt engineering on Vertex AI. Created comprehensive AI training materials, policies, and intake processes to support enterprise-wide AI performance and reliability. Oversaw company-wide rollout of Cursor AI with internally built resources and training protocols.• Designed prompt templates and evaluated AI outputs for optimal agent performance • Authored and maintained generative AI policy for enterprise usage and compliance • Developed and refined training workflows, including version control and automated pipelines • Monitored and assured consistent AI model quality through performance analytics and retraining cycles

2021 - 2026

Education

Work History