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Lakshmi Kiranmayi Chelluboyina
Junior Full-Stack & Data Engineer specializing in cloud platforms and cybersecurity ML
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About
Built a hackathon "Patient Summary Assistant" backend focused on healthcare workflows, combining RAG-based summarization with HIPAA-minded privacy controls (NER redaction + encryption). Demonstrated strong infra skills by deploying on Kubernetes with Helm/HPA and GitOps (ArgoCD), plus migrating from OpenAI to an on-prem Llama 3 stack (vLLM, quantization, shadow-mode testing) and adding real-time Kafka ingestion for patient vitals/anomaly alerts.
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Key Strengths
- Built HIPAA-oriented privacy controls using NER redaction and Fernet encryption/key management
- Designed and implemented RAG-based patient summarization with embeddings and cosine-similarity retrieval
- Strong Kubernetes operations: Helm templating, rightsizing pods, resource requests/limits, HPA with custom metrics, rolling updates for zero downtime
- Implemented automated CI/CD with GitHub + pytest, image build/tag/push, and deployment updates via kubectl
- Executed cloud-to-on-prem LLM migration (OpenAI to self-hosted Llama 3) with VRAM sizing, 4-bit quantization, vLLM inference server, and shadow-mode validation
- Built real-time Kafka streaming pipeline for patient vitals with partitioning by Patient ID and split-path processing to handle LLM latency
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