Jenil Prajapati

Engineered autonomous AI workflows using n8n and Claude MCP, integrating data from multiple e-commerce platforms into BigQuery and PowerBI. Built a context memory graph-based Content Brain and developed a return-risk agent that reduced manual review calculations by ~88%.

Designed and shipped a production-grade benchmark and evaluation harness for AI agents, exercising end-to-end reasoning across code, terminal automation, and distributed systems. Built cloud-ready, containerized testbeds and validated security, data integrity, and performance SLAs on real services.

Accelerated feature delivery by 33% by implementing streamlined CI/CD pipelines and agile methodologies. Spearheaded upgrade of CodeIgniter framework and architected a new RESTful API in Laravel using Sanctum token-based authentication.

Improved application performance and scalability by refactoring Flutter frontend state management and optimizing Node.js backend queries, resulting in a 30% reduction in load times.

Assembled interactive digital twin interfaces on Microsoft Azure using Cognite and AVEVA, visualizing real-time IoT sensor data. Deployed machine learning models and orchestrated a safety protocol testing framework within Azure, simulating 500+ scenarios.

Activities and societies: Best Domain Award (MLH, SBHacks)

Pursuing a Bachelor of Science in Computer Science with coursework in algorithms, machine learning, and full-stack development.