Sandhali Gupta

Generative AI Engineer specializing in production-grade LLM systems, RAG pipelines, and AI-driven voice automation. Experienced in deploying open-source and API-based LLMs, designing multimodel workflows, and building scalable conversational AI applications. Skilled in prompt engineering, retrieval optimization, and end-to-end AI system architecture.

Generative AI Engineer at MixORG (2024-08 – Present)

• Led the development of AI-driven solutions by integrating Llama models, advanced ASR and speech-to-speech systems to enhance communication systems.
• Deployed open-source LLMs on AWS SageMaker for scalable AI applications.
• Hands-on experience with tools and libraries such as LangChain, Hugging Face Transformers, and APIs including OpenAI, Anthropic, Gemini, and Deepgram.
• Designed optimized prompts and implemented RAG (Retrieval-Augmented Generation) workflows.
• Integrated real-time call functionalities using the Plivo API, reducing response time by 40%.
• Built scalable, responsive web interfaces using HTML, CSS, JavaScript, and Bootstrap, improving user experience.
• Created and automated workflows with n8n to streamline internal processes, increasing operational efficiency by 30%.
• Developed PodcastIQ, an AI-powered platform for podcast analysis using LLMs, designing and optimizing prompt engineering strategies for summarization, topic extraction, and insight generation to improve output quality and consistency.
• Developed and maintained a dynamic company website using WordPress, boosting website traffic by 15% through optimized content and improved UX/UI.
• Developed Flowy, a node-based workflow automation platform allowing users to visually create, connect, and execute complex workflows through an intuitive drag-and-drop interface, enhancing process automation and efficiency.
• Built "Unicorn Biography Creator," a full-stack GenAI application that transforms recorded video/audio/text interviews into structured PDF biographies using LLMs, prompt engineering, transcription, and cloud-based media pipelines (S3).

.Net Trainee at Chetu.inc (2024-03 – 2024-07)

• Worked with MVC frameworks using ASP.NET and .NET Core, implementing both code-first and database-first approaches for seamless application development.
• Utilized Entity Framework to manage databases and implement robust back-end logic.
• Developed key OOP-based functionalities using C# to optimize system performance.

Bachelor of Technology in Computer Science Engineering – Vidya College of Engineering (2020-08 – 2024-06)

Intermediate – B.B.S.S.M. Inter College (2020)