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I am a senior Python Full Stack Developer with 6+ years of experience building production-grade, cloud-native applications across healthcare and banking domains. I specialize in Python, Django, FastAPI, and ReactJS, with a distinctive edge in AI/ML engineering — designing RAG pipelines, integrating LLMs into enterprise SaaS platforms, and deploying intelligent microservices at scale. I own end-to-end projects—from HIPAA-compliant healthcare APIs and real-time fraud detection systems to DevOps automation with Docker, Kubernetes, and Terraform on AWS. I translate complex domain requirements into clean, testable, high-performance software that stands out in both architecture and delivery.…I am a senior Python Full Stack Developer with 6+ years of experience building production-grade, cloud-native applications across healthcare and banking domains. I specialize in Python, Django, FastAPI, and ReactJS, with a distinctive edge in AI/ML engineering — designing RAG pipelines, integrating LLMs into enterprise SaaS platforms, and deploying intelligent microservices at scale. I own end-to-end projects—from HIPAA-compliant healthcare APIs and real-time fraud detection systems to DevOps automation with Docker, Kubernetes, and Terraform on AWS. I translate complex domain requirements into clean, testable, high-performance software that stands out in both architecture and delivery.

NAGA SAI

Full Stack Developer, Web Developer, Programmer, +2

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I am a senior Python Full Stack Developer with 6+ years of experience building production-grade, cloud-native applications across healthcare and banking domains. I specialize in Python, Django, FastAPI, and ReactJS, with a distinctive edge in AI/ML engineering — designing RAG pipelines, integrating LLMs into enterprise SaaS platforms, and deploying intelligent microservices at scale. I own end-to-end projects—from HIPAA-compliant healthcare APIs and real-time fraud detection systems to DevOps automation with Docker, Kubernetes, and Terraform on AWS. I translate complex domain requirements into clean, testable, high-performance software that stands out in both architecture and delivery.…I am a senior Python Full Stack Developer with 6+ years of experience building production-grade, cloud-native applications across healthcare and banking domains. I specialize in Python, Django, FastAPI, and ReactJS, with a distinctive edge in AI/ML engineering — designing RAG pipelines, integrating LLMs into enterprise SaaS platforms, and deploying intelligent microservices at scale. I own end-to-end projects—from HIPAA-compliant healthcare APIs and real-time fraud detection systems to DevOps automation with Docker, Kubernetes, and Terraform on AWS. I translate complex domain requirements into clean, testable, high-performance software that stands out in both architecture and delivery.

Available to hire

I am a senior Python Full Stack Developer with 6+ years of experience building production-grade, cloud-native applications across healthcare and banking domains. I specialize in Python, Django, FastAPI, and ReactJS, with a distinctive edge in AI/ML engineering — designing RAG pipelines, integrating LLMs into enterprise SaaS platforms, and deploying intelligent microservices at scale.

I own end-to-end projects—from HIPAA-compliant healthcare APIs and real-time fraud detection systems to DevOps automation with Docker, Kubernetes, and Terraform on AWS. I translate complex domain requirements into clean, testable, high-performance software that stands out in both architecture and delivery.

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Work Experience

Senior Python Full Stack Developer at McKesson Corporation

October 1, 2024 - Present

Architected HIPAA-compliant patient engagement platform using FastAPI and asyncio microservices, processing 500K+ daily clinical transactions with 40% improvement in API throughput and zero data breach incidents. Built a clinical document intelligence system using LangChain + Pinecone RAG pipeline, enabling semantic search over unstructured patient records — reducing manual chart review time by 60% for care coordinators. Engineered PySpark-based ETL pipelines on AWS Glue to ingest multi-terabyte HL7/FHIR healthcare data, producing clean, normalized datasets for LLM fine-tuning and downstream ML model training on SageMaker. Developed ReactJS patient dashboard with real-time vitals visualization and AI-driven care recommendations, integrated with Django backend via GraphQL APIs and secured with OAuth 2.0 and role-based access control. Established full DevOps lifecycle using Docker, Kubernetes (EKS), Jenkins, and Terraform — achieving 95% CI/CD test coverage with Pytest and reducing p

Python Full Stack Developer at Bank of America

July 1, 2023 - September 30, 2024

Designed real-time fraud detection platform using PyTorch and Hugging Face Transformers on 5M+ daily transactions, achieving 94% detection accuracy and reducing false positives by 32% through fine-tuned transformer models. Built RAG-powered financial compliance assistant using Django + pgvector + Pinecone, enabling NLP-based querying of regulatory documents (SEC filings, Basel III guidelines) — cutting compliance research time by 55%. Architected high-availability Python microservices on AWS EKS handling peak loads of 12K requests/sec, improving response times by 28% through async I/O optimization and Redis-based distributed caching. Overhauled executive risk dashboards using ReactJS and D3.js with Generative AI NLQ interface, enabling non-technical stakeholders to query complex financial datasets via conversational prompts — adopted by 200+ analysts. Built PySpark pipelines on Amazon EMR to preprocess 10TB+ transaction datasets for model retraining; optimized AWS Glue/Athena Featu

Full Stack Developer at HCLTech

November 1, 2018 - June 30, 2022

Built and maintained 8+ Django/Flask microservices serving enterprise insurance and telecom clients, delivering RESTful APIs with JWT/OAuth 2.0 security, Swagger documentation, and 99.5% uptime SLA compliance. Developed responsive ReactJS and Angular frontends with Redux state management and reusable component libraries, reducing UI development time by 30% and improving cross-browser compatibility across 5 enterprise portals. Led end-to-end Databricks + dbt migration of legacy ETL pipelines, engineering high-performance PySpark jobs processing 500M+ daily records — improving pipeline reliability to 99% and cutting replication costs by 50%. Implemented real-time observability stack using ELK + Prometheus + Grafana, automated cloud provisioning with Terraform and GitHub Actions CI/CD, and containerized 12+ services with Docker/Kubernetes on AWS EC2/RDS.