Shubham Madhavi

Spearheading AI-driven software projects, leveraging LLMs and Generative AI to optimize development workflows. Employing prompt-based methodologies and iterative code generation techniques to enhance code quality and streamline processes. Integrating LLMs and Generative AI outputs into software solutions drives innovation and improves client experiences. Utilizing performance metrics for continuous model refinement, ensuring reliability and efficacy across diverse applications.

Strengthened client relationships through expert financial insights, resulting in a 20% increase in client satisfaction. Developed and maintained a daily data-fetching API, reducing data retrieval time by 30% and enhancing money management and retirement planning accessibility. Led the migration to ReactJS, optimizing financial services for business clients, refining data architecture, and integrating tools like FINVU, resulting in a 40% improvement in website performance and a 50% increase in data processing efficiency. Conducted data analysis and optimization efforts, leading to a 25% increase in user engagement and refinement of platform financial strategies. Created interactive dashboards using Gen AI to provide real-time insights into financial data, enhancing client reporting and internal decision-making processes.

Developed Python API for Bank Statement Reader (BSR) & OCR, processing 40+ statements accurately. Implemented 90% accurate OCR API for ID verification, streamlining 100+ loan applications & improving team integration. Used Gen AI to track and visualize key performance metrics, improving transparency and efficiency in loan processing workflows. Optimized API performance, reducing verification time by 80% for significant cost savings. Conducted data analysis to extract insights from loan application data, enhancing decision-making.

Completed 50+ diverse projects across data mining, networking, and academia, managing them with Python, MySQL, ReactJS, and JavaScript while ensuring timely delivery, effective client communication, and consistently high-quality outcomes. Applied advanced data analysis techniques, improving project outcomes, client satisfaction, and operational efficiency. Developed AI-powered recommendation systems and NLP models using LLMs for text summarization, enhancing user engagement, task efficiency, and project tracking through Gen AI dashboards. Led US healthcare projects, including a patient data analytics platform and an AI-driven triage system, leveraging data analysis and AI to optimize patient care and reporting.