Rhythm Bindal

Background

About Rhythm Bindal

I’m a Software Engineer at J.P. Morgan Chase, passionate about building AI-driven solutions that streamline financial operations. My work includes deploying GenAI applications that have significantly reduced code regression times and accelerated stakeholder reporting. Developed Report Summarisers using LLaMA models, enhancing the analysis of structured time-series data for asset servicing. Previously, as a Data Analyst Intern at YogaBar, I optimized data pipelines and integrated BI tools, leading to substantial improvements in data processing and departmental automation. At RocketML, I contributed to developing ML models with transfer learning and ResNet architectures, achieving high accuracy in satellite image classification. With a B.Tech in Computer Science (CGPA: 9.34) from Manipal University Jaipur, I have a solid foundation in OOP, DSA, and system design. My achievements include being an AWS AI Practitioner Beta exam certified, a finalist in JP Morgan’s Code for Good 2023, and a Harvard WeCode Scholar in 2023. I also hold a patent for an EV Charging Routing solution. I’m eager to connect with professionals who are passionate about leveraging technology to solve complex problems.