Junior Full-Stack & Data Engineer specializing in cloud platforms and cybersecurity ML
New York, NYEngagement Ambassador2 years experienceJuniorTechnologyConsultingCloud Computing
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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.
Experience
Engagement AmbassadorRuffalo Noel Levitz
Teaching AssistantNew York University
Application Development AnalystAccenture
DSI AnalystGoogle
Application Development InternNandhika Infotech
Education
New York Universitymaster, Computer Engineering (2025)
Andhra Universitybachelor, Electrical and Electronics Engineering (2021)
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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