Swetha Ramachandran

I am a results-driven analyst with a strong background in Computer Science & Engineering, recently graduated with a Master’s degree in FinTech and Policy from the University of Edinburgh. I have experience in machine learning, cloud technologies, and agile methodologies, with a proven ability to deliver clean code, develop scalable solutions, and collaborate effectively within cross-functional teams.

My experience includes working as a Graduate Student Researcher at Modulr, where I developed a RegBot using GenAI and Prompt Engineering to ensure regulatory compliance. I also worked as an Analyst at Payoda Technology, where I engineered a Natural Language Processing model using GPT and optimized datasets for reliable performance.

In addition to my technical skills, I have a strong passion for education and community development. I have volunteered as a Team Lead at CH I PSET Community, where I organized and delivered educational speaking sessions and authored articles on emerging technologies, and as a Microsoft Beta Student Ambassador, where I facilitated the adoption of Microsoft technologies among students.