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Manohar Vallabi
Mid-Level Software Engineer specializing in Java/Spring microservices and cloud event-driven systems
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About
LLM/agentic-systems practitioner who has repeatedly taken LLM-driven pricing/decision services from prototype to production using pilots, guardrails, observability, and staged rollouts. Demonstrates strong real-time incident troubleshooting (dependency timeouts, cached fallbacks) and post-incident hardening (isolation/async/alerts), and also supports go-to-market via developer workshops, technical demos, and sales-aligned POCs.
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Key Strengths
- Took an LLM-driven pricing/decision prototype to production via pilot validation, hardening, and staged rollout
- Defines and aligns customer success metrics (latency, business-rule accuracy, fallback rate, revenue lift/acceptance)
- Strong production reliability mindset (guardrails, monitoring, feature flags, safe fallbacks)
- Real-time debugging using observability signals and end-to-end request tracing across prompts/tools/downstream services
- Handled peak-traffic incident by identifying downstream dependency bottleneck and stabilizing with cached fallback + tighter timeouts
- Improves systems post-incident with isolation, async calls, and dependency health alerts
- Effective at tailoring technical demos/workshops to mixed seniority audiences with runnable examples and follow-up docs
- Partners with sales/customer-facing teams on discovery, demos, integration/scalability Q&A, and POCs to drive adoption
- Built end-to-end PDF Q&A app with RAG pipeline (extraction, chunking, embeddings, retrieval, contextual answers)
- Performance optimization for LLM/RAG systems (embedding caching, chunk-size/overlap tuning, parallel processing)
- Designed high-throughput Spring Boot microservice consuming millions of Kafka trading events with low latency
- Production reliability/observability for data pipelines (consumer lag, latency/throughput/error metrics, alerts, health checks, retries, circuit breakers)
- Database performance tuning in PostgreSQL (query optimization, indexing, stored procedures) for fast enrichment
- Full-stack integration of React dashboards with Java APIs; resolved real-time UI lag via payload reduction and React render optimization
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