Alec Byrne
@alecbyrne
Senior Python backend engineer building scalable microservices and AI-powered systems with FastAPI and AWS.
What I'm looking for
I’m a Senior Python Backend Engineer with 8+ years of experience designing and building scalable backend systems, cloud-native applications, microservices, and AI-powered solutions. I focus on high-performance APIs, distributed systems, and production-grade delivery using Python and AWS.
In my recent work, I developed backend services and microservices with Python, FastAPI, PostgreSQL, Redis, and AWS for enterprise healthcare and digital transformation. I designed RESTful APIs and asynchronous workflows for scalability and reliability, and built event-driven applications using Kafka and Redis for real-time processing and orchestration.
I also prioritize security and operational excellence—implementing JWT, OAuth2, and RBAC for secure authentication/authorization, and supporting stable deployments through Docker, Kubernetes, GitHub Actions, and AWS services. I’m comfortable owning monitoring, logging, testing, and production support to keep systems dependable as usage grows.
I’m especially strong in AI integration, using OpenAI APIs, LangChain, and RAG with vector databases and semantic search. I’ve built RAG pipelines that boosted response accuracy by 40%, reduced information retrieval time by 60%, and enabled 500K+ AI-driven queries per month, while saving 45% of manual time and increasing user productivity by 35%.
Experience
Work history, roles, and key accomplishments
Developed scalable FastAPI microservices for enterprise healthcare using AWS, PostgreSQL, and Redis; built Kafka/Redis event-driven workflows and secure JWT/OAuth2 RBAC. Delivered RAG pipelines with OpenAI/LangChain that saved 45% of manual time, increased productivity 35%, and improved response accuracy 40% while reducing retrieval time 60%.
Built backend services and APIs with Python, Django, and FastAPI for healthcare analytics and interoperability, including scalable data ingestion and processing pipelines. Improved API response times with Redis caching and database tuning, and supported platform reliability through monitoring, logging, testing, and production support.
Software Engineer
M3 Technology
Jul 2017 - Apr 2019 (1 year 9 months)
Developed Python/Django backend applications and REST APIs for government and commercial projects, designing database schemas and optimizing SQL queries for performance and scalability. Built data processing services to automate business workflows and supported deployments, troubleshooting, and production support in Agile environments.
Education
Degrees, certifications, and relevant coursework
Iqra University
Bachelor of Science, Computer Science
Earned a Bachelor of Science in Computer Science from Iqra University.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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