• Developed and maintained the backend infrastructure for Team Epiphany’s ad-targeting platform, utilizing Redis, Aerospike, and Kafka for scalable data processing and seamless data management.• Preprocessed data and fine-tuned LLMs, including LLaMA, Qwen, and Microsoft Phi-2, to generate high-impact ad keywords, optimizing model performance with TensorRT, TensorFlow, and PyTorch to enhance ad relevance and engagement metrics.• Completed comprehensive training covering REST APIs, full-stack web technologies (JavaScript, HTML, CSS, Java), and core engineering principles, including GIT, SOLID, design patterns, and OS fundamentals.

• Designed and Implemented a scalable API to retrieve and deliver Trending Keywords from internet search traffic for optimizing AD targeting strategies.• Created and Applied a statistical metric to accurately identify and filter the relevant keywords.• This robust service consistently processes, identifies and stores keywords from 1 million impressions daily.