Vaibhav M.

Key Skills

Software

Other

Top Subject Matter

LLM-based content generation and prompt engineering for structured text publishing

Reinforcement Learning (agent training and evaluation)

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Fine-tuning

Freelancer Overview

Accenture — Advanced App Engineering Analyst Intern (AI pipeline evaluation and structured content generation). Brings 5+ 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, Visvesvaraya National Institute of Technology (2025). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Prompt + Response Writing (SFT) and Fine-tuning.

Labeling Experience

Advanced Application Engineering Analyst - Accenture

Text

Responsible for designing and deploying an AI-powered content generation pipeline by integrating OpenAI APIs into Adobe Experience Manager (AEM) to streamline enterprise authoring. Ensures generated content meets production accuracy standards through prompt engineering and iterative evaluation. Collaborates cross-functionally to improve output relevance and format adherence for downstream publishing workflows. • Architected and deployed an AI-powered content generation pipeline using OpenAI LLM APIs with Adobe Experience Manager (AEM). • Automated product description authoring, reducing manual content effort by 60% across enterprise platforms. • Designed and fine-tuned prompt engineering strategies for structured content generation and publishing. • Partnered with content strategists to evaluate AI output quality and refine integration and post-processing logic.

2025 - Present

Accenture — Advanced App Engineering Analyst Intern (AI pipeline evaluation and structured content generation)

Prompt + Response Writing (SFT)

Worked on AI generation quality evaluation as part of an enterprise content pipeline. Iterated on model integration and post-processing logic to improve production accuracy for downstream publishing. The role involved validating AI outputs against quality standards and refining prompting approaches for structured content. • Evaluated AI output quality with content strategists • Iterated on model integration and post-processing • Improved relevance and format adherence for publishing workflows • Collaborated cross-functionally to meet production accuracy standards

2024 - 2024

iVlabs — Python, Reinforcement Learning, Machine Learning (RL agent training)

OtherFine-tuning

Designed and implemented reinforcement learning agents using Q-learning in a simulated highway environment. Engineered a custom LiDAR-inspired observation space via state discretization to reduce dimensionality. Trained and validated policies using reward signals to achieve stable cumulative rewards in complex traffic scenarios. • Built a self-driving agent with Q-learning • Implemented state-space discretization for observations • Trained policies over thousands of episodes and validated outcomes • Tuned reward shaping and hyperparameters with a multidisciplinary team

2022 - 2023

Education

Work History