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Jayasri Guthula
Mid-level Applied ML Engineer specializing in LLM evaluation and multimodal agent systems
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About
Full-stack engineer working at the intersection of product and infrastructure, building developer-facing interfaces for AI voice agents in XR/immersive environments plus telemetry-heavy analytics dashboards. Experienced in Postgres telemetry data modeling and performance tuning, and in designing durable multi-step LLM pipelines with idempotency, retries, and strong observability; has operated in fast-moving startup-like teams (Biocom, HandshakeAI).
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Key Strengths
- End-to-end ownership of developer-facing AI agent tooling (UI + API integration + post-launch maintenance)
- Strong observability/reliability mindset (logs, telemetry, metrics) used to drive iteration after launch
- Frontend performance tuning for data-heavy dashboards by reducing re-renders and optimizing data transformations
- Postgres analytics modeling and indexing strategy (session/events schema; composite index for session_id+timestamp)
- Query performance validation using EXPLAIN ANALYZE and monitoring under real load
- Designing durable multi-step AI workflows with idempotency, checkpointing, and exponential-backoff retries
- Pragmatic architecture tradeoffs in fast-moving environments (choosing simpler modular pipelines over heavy orchestration)
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