Nashit Budhwani

An AI learning assistant that processes videos, audio, and documents to transform boring study material into summaries, quizzes, flashcards and mindmaps.

• 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

• 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

• 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%

• 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.

• Deployed message queue-based event pipelines, increasing throughput by 30% and cutting server resource usag

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.

Issued Sep 2023

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Issued Mar 2022

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Issued Jun 2022