Shivansh Agarwal

Designed and developed backend APIs for users, courses, payments, videos, live lectures, recordings, and learning content management using Fastify, FastAPI, Python, and Clerk Authentication. Built scalable payment and multimedia API workflows, supporting 500+ concurrent learners during peak usage without system disruptions.

Designed and developed backend APIs for users, courses, payments, videos, live lectures, recordings, and learning content management using Fastify, FastAPI, Python, and Clerk Authentication. Built scalable payment and multimedia API workflows, supporting 500+ concurrent learners during peak usage without system disruptions.

Designed and developed backend APIs for courses, payments, and learning content management using FastAPI and Clerk authentication. Built scalable payment and multimedia workflows and optimized content-fetching/video-access flows to improve loading time and reliability during peak usage.

Implemented healthcare automation workflows across multiple client environments, improving referral processing efficiency and reducing processing errors. Built JSON-based workflows with conditional logic and performed log-based debugging to resolve workflow failures and stabilize processing rates.

Architected a FastAPI and WebSocket backend to stream speech, AI responses, and real-time updates for product demos. Integrated AssemblyAI transcription with LLM tone classification and built multi-role conversation flows in a React Native/Expo console.

Architected FastAPI and WebSocket backend to stream speech, AI responses, and real-time updates across 30+ product demos. Orchestrated an AI-driven React Native console with Expo, integrating AssemblyAI transcription, LLM tone classification, and 15 multi-role conversation flows.

Designed backend APIs for users, courses, payments, videos, live lectures, recordings, and learning content management using Fastify/FastAPI and Python with Clerk authentication. Built FastAPI/WebSocket services for streaming speech and AI responses and optimized content access and AI processing pipelines for reduced loading and processing time.

Built server-side applications with Java and Spring to improve uptime and reduce response time under peak load. Implemented REST APIs with Spring Boot and migrated a legacy MySQL database to a sharded architecture to increase write throughput and scalability.

Constructed server-side applications utilizing Java and Spring framework, achieving 99.99% uptime and reducing server response time by 30% under peak traffic conditions through optimized code. Transitioned legacy MySQL database to a shared architecture, increasing write throughput by 40% and improving application scalability to handle a 50% surge in user traffic.

Built server-side applications using Java and Spring to improve uptime and reduce response times under peak traffic. Transitioned a legacy MySQL database to a sharded architecture and implemented REST APIs with Spring Boot to improve latency and scalability.

Developed an immersive 3D portfolio using JavaScript, React, and Vite to increase user session duration. Worked on backend projects including a job portal with JWT authentication and REST APIs for payment/contact management using Spring Boot and MySQL.

Pursued a B.Tech in Computer Science Engineering at JK Lakshmipat University.

Pursued a B.Tech in Computer Science Engineering from Sep 2021 to Jun 2025.

Completed an exchange B.Tech CSE program at IIIT Hyderabad from Jan 2023 to May 2023.

Completed a semester exchange program in Computer Science Engineering at IIIT Hyderabad.

Completed a semester exchange program in Computer Science Engineering in 2023 at IIIT Hyderabad.

Pursued a Bachelor of Technology in Computer Science Engineering from September 2021 to June 2025.