Software Engineer
Patient records
400K+
Clinical events / day
300K+
Monthly interactions
50K+
Uptime
99.99%
Highlights & scope
- ›Architect scalable microservices and backend platforms integrating fragmented EHR, lab, imaging, pharmacy, and insurance systems using Python, FastAPI, Apache Spark, SQL, FHIR, and HL7, centralizing 400K+ patient records.
- ›Engineer high-throughput distributed systems using Amazon S3, PostgreSQL, Snowflake, Redis, Apache Kafka, and ETL frameworks to process 300K+ clinical events daily, reducing retrieval latency and eliminating manual workflows.
- ›Build low-latency REST APIs and AI healthcare copilots using OpenAI GPT-4o, Anthropic Claude, Llama 3, LangChain, RAG, and Pinecone, reducing physician documentation workload while accelerating treatment recommendations.
- ›Develop event-driven backend systems using LangGraph, function calling, asynchronous workflows, caching layers, and distributed orchestration frameworks to automate patient summaries across 50K+ monthly clinical interactions.
- ›Partner with physicians, product leaders, and compliance teams to deploy predictive healthcare models using XGBoost, TensorFlow, and Scikit-learn, improving diagnosis speed and increasing hospital throughput.
- ›Lead cloud infrastructure scalability using AWS EKS, Docker, Kubernetes, Terraform, CI/CD, CloudWatch, encryption, audit logging, and HIPAA compliance, maintaining 99.99% uptime while reducing infrastructure costs 25%.