Naren Subramanian
Software Engineer @ Optum
About
Software and Data Engineer with experience building scalable backend services, LLM-based tools, and data pipelines using FastAPI, Airflow, DBT, and Snowflake. I've developed internal tools like a Webex Summarizer and RAG chatbot, and deployed ML dashboards used by 20+ hospitals in production. Fluent in Python, PySpark, SQL, and React Native. Passionate about building high-performance systems that combine AI with clean, production-grade code. Currently open to new grad roles in Software Engineering or Data Engineering.
United States
Dallas-Fort Worth Metroplex
Information Technology & Services
Natural Language Processing (NLP), TF-IDF, REST APIs, Apache Kafka, GitHub Actions, Docker, Kubernetes, Hadoop, Terraform, TensorFlow, Data Build Tool (DBT), React.js, Python (Programming Language), Streamlit, Amazon Web Services (AWS), LangChain, FastAPI, Node.js, Snowflake, DBT
Experience
Software Engineer
Optum
• Building scalable backend services using Spring Boot and FastAPI for healthcare platforms. • Developing responsive frontend applications using React and Vite JS. • Designing and integrating AI-driven healthcare functionalities, including LLM-based workflows and EHR vendor integrations (FHIR/HL7). • Architecting secure, compliant systems supporting multi-vendor Electronic Health Record (EHR) interoperability.
Data Engineer
Perma Technologies
Dallas, TX
• Built an LLM-powered Webex Summarizer using FastAPI and Streamlit, integrating with Gemini/OpenAI and Webex APIs via webhooks. • Created a RAG chatbot with LangChain and FAISS, integrated with Snowflake to serve data-backed responses. • Led the migration from Informatica to Databricks and optimized PySpark pipelines, improving throughput by 30%. • Built a Python-based EL tool and owned a DBT repo with 500+ models, 80+ tests, and daily ETL jobs. Tech: FastAPI, Streamlit, LangChain, Snowflake, PySpark, DBT, Airflow, GitHub Actions, AWS
Junior Data Scientist
AINQA
India
• Engineered real-time ML pipelines using TensorFlow and Scikit-learn with 96% accuracy. • Powered COVID dashboards used by 20+ hospitals, processing 2M+ rows/day via Airflow and DBT. • Developed OCR to extract vitals from medical devices and automated backend data ingestion. Tech: Python, TensorFlow, DBT, Airflow, React, Node.js, Snowflake, AWS
Software Engineer Intern
EY
India
• Developed Node.js/Kafka microservices for enterprise clients, deployed on AWS with Docker/Kubernetes. • Automated CI/CD with GitHub Actions, integrated Terraform and Prometheus for infrastructure monitoring. • Built high-load workflows with Hadoop and optimized ingestion for batch processing. Tech: Node.js, Kafka, GitHub Actions, Docker, Kubernetes, Hadoop, Terraform
Data Science Intern
Jio
India
• Built a multilingual news clustering pipeline using NLP and TF-IDF, improving categorization efficiency by 25%. • Integrated real-time APIs with AWS backends to render live content on Jio’s internal news platform. Tech: Python, NLP, TF-IDF, AWS, REST APIs
Education
University at Buffalo
Computer Science
Relevant coursework: Distributed Systems, Machine Learning, Database Systems, Cloud Computing Thesis: Dental Implant Detection using Deep Learning Capstone: Backdoored Facial Recognition Detection
Amrita Vishwa Vidyapeetham
Computer Science
Naren Subramanian's Contact Information
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