Nashit Budhwani

• Architected and delivered a Bond Management System with Liberty Mutual, enabling 50+ legal and insurance entities to collaborate digitally and accelerating case resolution by 35%, saving over $200K annually in manual effort. • Automated cross-departmental workflows using RPA pipelines, cutting reporting cycle time by 60% and improving data accuracy to 85.0%. • Deployed containerized solutions with Docker, standardizing development environments and reducing infrastructure costs by 25%.

• Co-supervised a team of undergraduates developing OptiFit.ai, an AI-driven fitness app using computer vision, LLMs, and gamification for personalized workout tracking and posture correction. • Guided project conceptualization, methodology, and system design, fostering alignment with academic and industry standards. • Mentored students on integrating MediaPipe for pose estimation, Django Ninja for backend scalability, and React Native for mobile app development.

• Built and optimized LLM-powered multimodal chat systems that transformed text and image data into actionable insights, improving decision turnaround by 45%. • Designed scalable data pipelines processing 500K+ records daily, reducing operational latency by 30% and enabling real-time analytics for stakeholders. • Implemented automated validation and monitoring, cutting manual QA overhead by 50% and improving production reliability.

• Engineered backend microservices using NestJS (Node.js + TypeScript) supporting 100K+ concurrent events daily, improving system scalability by 2.5x. • Delivered low-latency WebSocket and REST integrations that reduced message transmission delays by 25%, enhancing client responsiveness. • Built automated testing suites integrated with CI/CD workflows, reducing post-deployment incidents by 40% and accelerating release cycles.

Conducted lab sessions teaching Object Oriented Programming concepts to BS(CS) students; prepared materials and provided hands-on guidance.

Conducted lab sessions teaching Object Oriented Programming concepts to BS(CS) students; prepared materials and provided hands-on guidance.

• Developed cloud-connected APIs for an IoT vehicle safety platform, enabling real-time seatbelt and occupancy monitoring across fleets and boosting compliance reporting accuracy by 30%. • Designed an edge-to-cloud data processing pipeline for multi-sensor devices, lowering latency by 25% and reducing system downtime by 15%.

Worked as Programming Fundamentals teaching assistant at my university. Evaluated assignments,quizzes and semester projects during the semester.