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Balaji Namala
Junior AI Engineer specializing in LLM systems, RAG, and scalable cloud AI
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About
Built and shipped production LLM agents for real-time, high-concurrency conversational systems, including a RAG-based pipeline with dynamic multi-provider routing and failover that achieved 99.99% reliability and sub-800ms latency. Also architected a UAV telemetry chatbot with tool-calling (anomaly detection/summarization), strict schema validation, and robust eval/monitoring loops, cutting tool-call errors by 30% and reducing operational costs by 90%.
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Key Strengths
- Shipped production LLM agent with 99.99% reliability and <800ms latency under heavy load
- Designed dynamic LLM provider routing with health checks, failover, and retries for real-time reliability
- Scaled conversational system 50x in a serverless environment without performance degradation
- Reduced end-to-end latency from 2.5s to <800ms
- Reduced operational costs by 90% via caching and memory optimization
- Built multi-step agent workflows with strict tool-call schemas/validation and deterministic step boundaries
- Implemented offline/online evaluation and monitoring loops; reduced invalid tool-parameter errors by 30%
- Handled messy/noisy telemetry data via preprocessing normalization, validation, and safe read-only tool interfaces
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