Dewansh Agrawal

As a final-year Computer Engineering student, I specialize in blending artificial intelligence with practical problem-solving and analysing data to plan the most efficient steps to growth. From building predictive maintenance systems and automating sales workflows to fine-tuning transformers for NLP tasks, I craft solutions that streamline operations and deliver measurable value. With hands-on experience in LLM integration, OCR, time-series forecasting, and cross-functional collaboration, I thrive at the intersection of innovation and execution—turning cutting-edge technology into business-ready tools.

I've gained hands-on experiences in both AI developement and data analytics through impactful internships. At Lattice Software Solutions, I integrated ChatGPT into CAFM software to enhance user support and reduce failure response times, while also building predictive maintenance models using PyTorch and TensorFlow that cut downtime by 30%. I streamlined data pipelines with Python and SQL and contributed to several AI proof-of-concept prototypes. At GROHE, I applied AI tools to automate workflows, including a Python-based OCR system that reduced sales receipt entry time by 70%. I also developed vendor performance dashboards using Excel and Power BI, aligning analytics with strategic business goals through cross-functional collaboration.

I’m currently pursuing a Bachelor’s degree in Computer Engineering at the American University of Sharjah, with a strong academic focus on Artificial Intelligence, Statistical Analysis, and Business Analytics. To deepen my expertise, I’ve completed certifications including the DeepLearning.AI TensorFlow Developer, Harvard’s CS50x and CS50AI, IBM Applied AI, and Microsoft Azure AI Fundamentals. These have equipped me with practical skills in AI development, ethical hacking, and end-to-end machine learning operations.