N Veeragangadhar
Professional Summary
AI Prompt Engineer with 0 years of experience designing and refining prompts, building RAG workflows, and evaluating LLM outputs for educational products. Strong hands-on experience with Claude, Grok and Seedance for visual and text prompt design and ElevenLabs and Google Studio Voice for synthetic narration. Skilled in building API-driven automation using REST APIs, n8n, and Microsoft Power Automate to connect LLM inference with LMS workflows. Experienced in prototyping agentic AI and conversational workflows and establishing LLM-output evaluation processes to detect hallucinations and improve alignment. Complementary software experience includes Python for integrations, React.js and Spring Boot for product prototypes, MySQL for storage, and Docker for containerization. Proven ability to translate pedagogy into structured prompts and automation that supports content production and review pipelines for edtech platforms.
Technical Skills
Work Experience
- Designed and iterated structured prompts for Claude and Grok to generate lesson scripts and assessment items with improved relevance and clarity.
- Created visual prompts and cinematic storyboards for Seedance to produce AI-generated lesson visuals aligned to learning objectives.
- Authored voiceover instructions and configured ElevenLabs to produce natural-sounding narration for instructional videos.
- Deployed Google Studio Voice variants to create accessible audio alternatives for course content.
- Implemented Retrieval-Augmented Generation workflows and curated knowledge-base prompts to enable context-aware Q&A for course material.
- Connected LLM inference with the LMS using REST APIs and n8n to automate content publishing and versioning workflows.
- Automated reviewer notifications by integrating Slack with Microsoft Power Automate to route content for SME review and approval.
- Researched and prototyped agentic AI concepts and conversational workflows to support tutoring assistants and automated student Q&A.
Projects
- Built a Python-based AI-agent prototype to orchestrate conversational flows and manage session context for automated interactions.
- Designed prompt templates and instruction strategies to guide LLM responses and reduce ambiguous outputs.
- Integrated external services via REST APIs to fetch contextual data and enrich agent replies during conversations.
- Tested LLM outputs and iteratively refined prompts to improve response relevance across varied user prompts.
- Crafted structured prompts for Claude and Grok to generate lesson scripts, examples, and formative quiz items.
- Produced cinematic visuals with Seedance based on storyboards to illustrate complex concepts in short lesson videos.
- Generated and tuned voiceovers using ElevenLabs and Google Studio Voice to create multiple narration styles and accessibility variants.
- Evaluated AI-generated outputs for factual accuracy and pedagogical alignment, documenting issues for prompt refinements.
- Developed React.js dashboards to display live weather forecasts and crop-risk alerts for farmers.
- Implemented backend ingestion and threat-detection services using Java and Spring Boot to process weather feeds.
- Modeled predictions and stored results in MySQL, optimizing queries for timely alert generation.
- Containerized backend services with Docker and prepared deployment artifacts for staging environments.
Education
Certifications
Achievements
- Best Poster Award — Customer Response Analytics for Insurance Outreach — May 2024: Presented research on predictive modeling and statistical analysis methodologies at Tech Star Summit.
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