I’m a highly driven and creative Software Engineer and Generative AI Developer with hands-on experience in building AI-first applications, optimizing operational systems, and contributing to impactful ML projects. Currently working as a Site Reliability Engineer at ANZ, where I contribute the development of AI-powered tools such as for Architecture as Code (AAC) automation and various other chatbot based use cases tailored for internal banking workflows. I've built full-stack solutions using Python, PostgreSQL, Docker, Terraform, and LLMs like LLaMA and BERT. Former AI/ML Integration Intern at Dom4U, where I applied YOLO, OpenCV, and CUDA for real-time vision processing, improving legacy systems. I recently upskilled myself through Purdue University’s Applied Generative AI Specialization and leading knowledge-sharing initiatives around Gen AI, Langchain and ML. 💼 Looking for full-time Software Engineering and AI/ML roles where I can leverage my background in SRE, GenAI, Full Stack Dev, and NLP to build scalable, innovative systems. 📫 Let’s connect: debarun.ghosh.2024@gmail.com | Portfolio: https://debarunghosh.netlify.app/