Aman Tyagi

Built production AI systems for long-document research analysis using LLMs, RAG, semantic search, OCR/PDF processing, reranking, and evidence-grounded generation, reducing manual review effort by 60%+. Owned 8+ customer-facing workflows across frontend, backend, AI orchestration, databases, access control, retries, and background jobs, improving activation, retention, and paid usage.

Worked on Java/Spring Boot enterprise systems across backend services, UI improvements, ETL-oriented flows, and AI integration, improving module maintainability.

Built scalable AI product interfaces using TypeScript, Next.js, React, Node.js, tRPC, PostgreSQL, and full-stack patterns, helping convert prototypes into production workflows. Optimized RAG/retrieval pipelines with semantic search and reranking, reducing retrieval latency by 30% and improving backend workflow performance by 25%.

Built and launched the company's full-stack website end-to-end, improving digital presence and inbound credibility across customers, partners, and sales conversations. Guided CRM and mobile app planning across architecture, data flow, and scope, reducing early implementation effort by 30% through clearer technical direction.

Pursued a B.Tech. in Electronics and Communication Engineering, expected to graduate in 2025.