Lead Backend Engineer at Symetra

Led a backend team delivering automation-driven services modernizing insurance platforms used by thousands of clients and internal stakeholders. Built and maintained microservices and APIs with Python (Django, Flask, FastAPI), integrated into large-scale AWS pipelines for deployment, workflow automation, and data management. Designed event-driven architectures with Kafka, SQS, and Lambda, implemented replication and sharding, and provisioned scalable environments using AWS CDK. Strengthened observability with Prometheus, ELK, and CloudWatch, and improved delivery pipelines with Jenkins, AWS CodePipeline, and CDK-driven deployments. Collaborated with AI/ML teams to integrate NLP and predictive analytics models into backend pipelines for automation tasks and fraud detection. As team lead, defined the technical roadmap, conducted architectural reviews, mentored engineers, and established Python and AI/ML service best practices to ensure secure, scalable, and future-ready systems.

Senior Python Engineer at Amazon

Worked on large-scale backend systems powering global e-commerce, building high-performance microservices with Python (FastAPI, Flask, Django REST Framework) to handle order flows, payments, and logistics across millions of daily transactions. Optimized distributed systems with gRPC, Redis caching, database sharding, and async pipelines using Kafka and SQS, ensuring reliability during surges. Partnered with ML teams to productionize models for recommendations, search ranking, and fraud detection, using Pandas, NumPy, and Scikit-learn for preprocessing and deploying with TensorFlow, PyTorch, and AWS SageMaker into APIs. Built Airflow and Spark pipelines for analytics and monitoring, exposing APIs scaling to millions of requests daily. Strengthened resilience with Prometheus, Grafana, ELK, and CloudWatch; enforced security with OAuth2, JWT, and API Gateway; automated deployments with AWS CodePipeline, Jenkins, and CDK.

Python Developer at Circle Health Group

Developed and optimized RESTful APIs with Django and Django REST Framework to support patient booking, billing, and electronic health records across a nationwide healthcare network. Implemented GDPR-compliant secure authentication (OAuth2/JWT), audited data flows, and built workflows for sensitive clinical data. Tuned SQL/NoSQL databases, added Redis caching, and used Celery for asynchronous reporting and analytics. Refactored legacy modules into Python services and automated testing (PyTest/Unittest); streamlined deployments with Jenkins and Docker-based CI/CD.

Python Developer at Vention

Developed production-grade backend solutions using Django, Flask, and FastAPI; built RESTful APIs and integrated third-party services. Designed and optimized SQL/NoSQL databases, implemented caching with Redis, and migrated monoliths to modular architectures. Implemented automated testing (PyTest/Unittest) and CI/CD pipelines using Jenkins, Git, and Docker; participated in code reviews and knowledge sharing.

Software Engineer Intern at Vention

Supported backend team with database development, Python utilities, and testing; built Python-based testing scripts for web applications; contributed to debugging and documentation; gained exposure to Git, agile workflows and professional engineering practices.

Lead Backend Engineer at Symetra

Led a backend team delivering automation-driven services modernizing insurance platforms used by thousands of clients and internal stakeholders. Built and maintained microservices and APIs with Python (Django, Flask, FastAPI), integrated into large-scale AWS pipelines for deployment, workflow automation, and data management. Used AWS CDK to provision infrastructure as code, creating scalable environments supporting automated customer request handling, documentation generation, and self-managing databases. Designed event-driven architectures with Kafka, SQS, and Lambda, applying replication, sharding, and monitoring strategies for SQL and NoSQL systems. Collaborated with AI/ML teams to integrate NLP and predictive analytics models into backend pipelines for document classification, intelligent request routing, and fraud detection. Strengthened reliability via observability stacks (Prometheus, ELK, CloudWatch) and improved delivery pipelines with Jenkins, AWS CodePipeline, and CDK-driven

Senior Python Engineer at Amazon

Built high-performance microservices with Python (FastAPI, Flask, Django REST Framework) to handle order flows, payments, and logistics across millions of daily transactions. Optimized distributed systems with gRPC, Redis caching, database sharding, and asynchronous pipelines using Kafka and SQS, ensuring reliability during surges such as Prime Day. Partnered with ML teams to productionize models for recommendations, search ranking, and fraud detection, using Pandas, NumPy, and Scikit-learn for preprocessing and deploying with TensorFlow, PyTorch, and AWS SageMaker into APIs. Built Airflow and Spark pipelines for analytics and monitoring, exposing APIs scalable to millions of requests daily. Strengthened resilience via Prometheus, Grafana, ELK, and CloudWatch; reinforced security with OAuth2, JWT, and API Gateway; improved automation with AWS CodePipeline, Jenkins, and CDK. In a senior role, I drove architectural roadmaps, led design reviews, mentored engineers, and set best practices

Python Developer at Circle Health Group

Developed backend for patient booking, billing, and electronic health records across a nationwide hospital network. Implemented RESTful APIs with Django and Django REST Framework to enable real-time appointment scheduling and secure access to clinical data. Ensured GDPR compliance by implementing secure authentication with OAuth2/JWT, auditing data flows, and building workflows for sensitive healthcare information. Designed and tuned SQL and NoSQL databases, integrated Redis caching to improve performance, and implemented Celery-based asynchronous job processing for reporting and analytics. Refactored legacy modules into Python services, introduced automated testing with PyTest and Unittest, and streamlined deployments with Jenkins and Docker-based CI/CD pipelines.

Python Developer at VENTION

Backend developer building production-grade applications using Django, Flask, and FastAPI; developed RESTful APIs to connect services and third-party integrations. Designed and optimized SQL and NoSQL databases, implemented stored procedures, and applied caching strategies with Redis to improve response times. Refactored legacy systems into modular Python services, migrating monolithic applications to modern architectures. Implemented automated testing with PyTest and Unittest and helped streamline deployments with CI/CD pipelines using Jenkins, Git, and Docker. Participated in code reviews and knowledge-sharing sessions to improve team-wide quality.