Naveen V

I am a Prompt Engineer with experience in conversational AI, LLM evaluation, and building real-world AI applications. I specialize in crafting structured prompts and conversational scripts that enable reliable, high-quality AI interactions. With a background in content writing and data analysis, I bring a unique blend of creativity and analytical thinking to designing, optimizing, and scaling AI-driven solutions.

I have also worked closely with engineers and clients to deliver multilingual, production-ready AI systems.

Conversational AI Designer at CAW Studios (2026-02 – 2026-07)

• Designed and deployed scalable outbound conversational AI voice agents across multiple industries, capable of handling complex, real-world customer interactions with high reliability.
• Partnered with clients to translate business requirements into structured conversational scripts, while providing continuous progress updates and aligning closely with AI engineers to optimize model performance.
• Engineered multilingual AI-Powered bots (supporting up to four languages) using advanced prompt design in Markdown and JSON, ensuring strong edge-case handling and conversational accuracy. Led execution and monitoring of large-scale call campaigns (100+ contacts), driving improved engagement and operational efficiency.

AI Content Writer (L3) at Amazon (2024-09 – 2025-11)

• Worked on training and evaluation of Large Language Models (LLMs) and Generative AI systems by designing prompts and testing model behavior across multiple use cases.
• Evaluated responses from multiple AI models for accuracy, safety, and usefulness, editing suboptimal outputs into high-quality responses used for model improvement and fine-tuning workflows.
• Performed multimodal AI evaluation across text, audio, and image pipelines, including audio transcription, text-to-speech comparison, and image hallucination detection.
• Created contextual training scenarios by linking inputs across modalities, supporting context-aware generation and RAG-style grounded response evaluation

Content Writer Intern at Tuskmelon (2024-04 – 2024-07)

• Crafted compelling and engaging social media content for diverse clients, tailored to their brand identity and audience demographics.
• Created persuasive mailers, WhatsApp messages, and SMS content to promote client products.
• Managed customer queries on brands' social media platforms, ensuring timely responses.
• Developed social media analysis including client performance and competitor benchmarking to optimize strategies for enhanced engagement and market presence.

Paid Search Analyst at Dentsu (2023-04 – 2024-01)

• Utilized data visualization techniques to analyze the daily performance of Google Ads campaigns for multiple clients, focusing on key metrics such as impressions, clicks, and pay-per-click spend.
• Utilized advanced Excel functions to organize and analyze Google Ads data, creating detailed reports on a daily, weekly, and monthly basis.
• Conducted in-depth analysis comparing the performance of clients' brands with their competitors in online - advertising space.

Bachelor of Engineering in Electrical and Electronics Engineering – Sri Venkateswara college of Engineering (2018-09 – 2022-07)