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Acyuta Raman
Entry-Level Full-Stack Engineer specializing in AI/LLM platforms
San Jose, CAEntry-LevelTechnologySaaSWeb Development
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About
Early-career full-stack engineer who has not yet shipped a professional customer-facing product but has built sophisticated AI-driven systems in personal/academic work, including a multi-tenant AI knowledge base (async ingestion, pgvector semantic search, SSE real-time updates, knowledge graphs) and an AI-powered code review assistant designed to process thousands of jobs via Redis/BullMQ.
Education
San Jose State Universitybachelor, Applied Mathematics (2025)
Key Strengths
- Built full-stack AI knowledge base platform end-to-end (upload, semantic search, knowledge graphs, multi-tenant workspaces)
- Architected non-blocking async ingestion/processing with Redis queues (BullMQ) and scalable workers
- Performance-focused search design using PostgreSQL + pgvector (HNSW) with Redis caching (~100ms response times stated)
- Implemented real-time UX updates via SSE for ingestion progress and AI responses
- Designed internal AI code review assistant with async processing, job history, filtering, and downloadable reports
- Strong prioritization under ambiguity using impact vs effort to sequence MVP to advanced features
- Reliability at scale practices: unit tests for critical modules, retry logic, persistence of intermediate results for resumable jobs
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