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Raviteja Maramreddy
Mid-level Full-Stack Software Engineer specializing in microservices and scalable backend systems
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Backend/microservices engineer (Java/Spring Boot, Kafka, Angular microfrontends) with Teradata experience building distributed analytics/query routing platforms and delivering 20–30% latency reductions through event-driven redesign and reliability hardening. Also built and shipped an end-to-end multimodal medical imaging AI feature (LLaVA/Mistral 7B + LoRA) with production guardrails like confidence-based human review, drift monitoring, and audit logs.
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Key Strengths
- Microservices performance/reliability debugging using logs, metrics, and request tracing
- Architected shift from synchronous calls to Kafka event-driven design to reduce latency and improve resilience
- Implemented idempotent consumers and retry logic to handle partial failures in distributed execution
- Delivered measurable performance gains (20–30% latency reduction) and improved peak-load stability
- End-to-end ownership of multimodal medical imaging AI feature (data curation → LoRA fine-tuning → REST deployment → UI integration)
- Strong data quality focus for healthcare ML (cleaning/normalizing noisy image-text datasets)
- Designed safe AI production guardrails (confidence thresholds, human review, audit logs, drift monitoring)
- PostgreSQL schema design and query optimization (composite indexes, query rewrites, caching) achieving ~30% faster queries
- Built reliable DAG-based workflow automation with retries, escalation, and downstream task halting on failure
- Resolved Python concurrency race conditions via modular design, logging, reproducible tests, and locks
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