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I am Pranshu Sonule, an AI Specialist with a Master of Information Technology from UNSW. I specialize in Generative AI workflows and high-fidelity image generation, turning user input into production-ready visual assets. I leverage models like Google Imagen and GANs to deliver robust, branding-aligned outputs while designing scalable prompt engineering strategies that adhere to strict technical specifications. I bridge generative technology with printing and branding standards to ensure consistent, high-quality outputs across production pipelines. My focus areas include workflow design, object detection, and production-ready asset creation, all done in collaboration with stakeholders to meet real-world operational needs and branding guidelines.…I am Pranshu Sonule, an AI Specialist with a Master of Information Technology from UNSW. I specialize in Generative AI workflows and high-fidelity image generation, turning user input into production-ready visual assets. I leverage models like Google Imagen and GANs to deliver robust, branding-aligned outputs while designing scalable prompt engineering strategies that adhere to strict technical specifications. I bridge generative technology with printing and branding standards to ensure consistent, high-quality outputs across production pipelines. My focus areas include workflow design, object detection, and production-ready asset creation, all done in collaboration with stakeholders to meet real-world operational needs and branding guidelines.

Pranshu Sonule

AI Developer, AI Prompt Engineer, Data Scientist, +2

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I am Pranshu Sonule, an AI Specialist with a Master of Information Technology from UNSW. I specialize in Generative AI workflows and high-fidelity image generation, turning user input into production-ready visual assets. I leverage models like Google Imagen and GANs to deliver robust, branding-aligned outputs while designing scalable prompt engineering strategies that adhere to strict technical specifications. I bridge generative technology with printing and branding standards to ensure consistent, high-quality outputs across production pipelines. My focus areas include workflow design, object detection, and production-ready asset creation, all done in collaboration with stakeholders to meet real-world operational needs and branding guidelines.…I am Pranshu Sonule, an AI Specialist with a Master of Information Technology from UNSW. I specialize in Generative AI workflows and high-fidelity image generation, turning user input into production-ready visual assets. I leverage models like Google Imagen and GANs to deliver robust, branding-aligned outputs while designing scalable prompt engineering strategies that adhere to strict technical specifications. I bridge generative technology with printing and branding standards to ensure consistent, high-quality outputs across production pipelines. My focus areas include workflow design, object detection, and production-ready asset creation, all done in collaboration with stakeholders to meet real-world operational needs and branding guidelines.

Available to hire

I am Pranshu Sonule, an AI Specialist with a Master of Information Technology from UNSW. I specialize in Generative AI workflows and high-fidelity image generation, turning user input into production-ready visual assets. I leverage models like Google Imagen and GANs to deliver robust, branding-aligned outputs while designing scalable prompt engineering strategies that adhere to strict technical specifications.

I bridge generative technology with printing and branding standards to ensure consistent, high-quality outputs across production pipelines. My focus areas include workflow design, object detection, and production-ready asset creation, all done in collaboration with stakeholders to meet real-world operational needs and branding guidelines.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Workflow Designer (Intern) at Tata Motors

January 1, 2023 - July 1, 2023

Produced production-ready AI solutions by building and deploying custom object detection models that met strict industrial quality-control throughput standards. Analyzed visual datasets to identify pattern failures and refined model outputs, improving predictive maintenance accuracy by 15%. Partnered with stakeholders to translate operational needs into technical specifications, documenting workflows that reduced manual inspection time by 30%. Ensured visual data pipelines were scalable and consistently delivered high-fidelity outputs for executive performance monitoring.

Research Intern – Generative Applications at DY Patil International University

June 1, 2021 - August 1, 2021

Led automated workflow design efforts to transform raw inputs into structured evaluative outputs, achieving 75% accuracy compared to manual checking. Identified workflow bottlenecks and implemented logic improvements that reduced processing time by 40%. Collaborated with the team to document workflows and share findings with stakeholders.