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Utkarsh Likhar
Mid-level Software Engineer specializing in backend systems and AI-powered platforms
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Backend engineer who built a production retrieval-augmented narrative analysis platform for 100-page screenplays using a Node/Express orchestrator and a Python/FastAPI AI engine, including a key redesign from disk-based uploads to in-memory streaming to eliminate Windows file-lock failures. Also led a refactor of a municipal vehicle tracking system into a C-based distributed engine handling 4M+ daily packets with 99.99% data integrity and automation that reduced manual ops by 50%.
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Key Strengths
- Designed and evolved a production RAG platform integrating Node/Express orchestrator with Python/FastAPI AI engine
- Resolved Windows file-locking failures by switching from disk-based uploads to in-memory streaming architecture
- Implemented multi-layer data integrity checks (SHA-256 checksums, content-length validation, BytesIO pointer management)
- Optimized LLM/document pipeline (RecursiveCharacterTextSplitter tuning, increased context window k=16) for long-form screenplay analysis
- Led refactor of municipal vehicle tracking into a C-based distributed engine processing 4M+ daily packets
- Engineered packet-level TCP/IP validation to handle burst traffic and prevent database corruption (99.99% data integrity)
- Reduced manual operations via shell-script automation (archival/logging), cutting manual involvement by ~50%
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