Open to opportunities

Sean Reid

@seanreid

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Senior Software Engineer with expertise in AI-driven applications.

United States

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What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in AI and cloud-native development.

I am a Senior Software Engineer with over 10 years of experience in building intelligent, full-stack applications for both startups and enterprises. My expertise lies in developing modern web and data applications using technologies such as React, Next.js, Angular, and FastAPI. I have a proven track record of implementing AI and machine learning solutions that solve real-world business problems, particularly in the healthcare sector.

At Hakkoda, I led the design and development of AI-driven healthcare platforms, improving document search efficiency by 60% through innovative RAG systems. My experience also includes deploying microservices and AI workloads on AWS, ensuring high availability and security through observability stacks. I thrive in cross-functional teams, collaborating with product managers and ML scientists, while also mentoring junior engineers in scalable system design and ML-integrated engineering practices.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Hakkoda

Jun 2022 - Present (3 years)

Led the end-to-end design and development of full-stack, AI-driven healthcare platforms with a strong focus on AI agents, RAG, and secure, scalable infrastructure on AWS. Engineered and deployed scalable RAG systems using OpenAI API, Amazon Bedrock, LangChain, and Pinecone, improving document search efficiency by 60%.

Lang Chain Pinecone Go Next.js Terraform GitHub Actions

Senior Software Engineer

nCino

Jun 2019 - May 2022 (2 years 11 months)

Delivered cloud-native, automated workflows using classical ML and rule-based systems within a regulated fintech environment. Led backend and frontend initiatives across microservices, NLP tooling, and agent-style automation workflows, integrating TensorFlow models into compliance workflows, reducing manual review time by 40%.

Django NestJS TensorFlow AngularJS GraphQL Docker Kubernetes GitHub Actions

Software Engineer

Amazon

Apr 2016 - May 2019 (3 years 1 month)

Built and optimized personalization engines, backend services, and ML-integrated tools for the Amazon Retail and CX teams using Spring Boot, Go, and AWS-native infrastructure. Developed microservices deployed on ECS, supporting high-scale APIs handling 5M+ daily requests using DynamoDB, Redis, and Aurora PostgreSQL.

Spring Boot Go AWS ECS DynamoDB Redis Kafka GraphQL Terraform Kubernetes

Software Engineer

Mobcoder

Jun 2014 - Mar 2016 (1 year 9 months)

Contributed to full-stack web and mobile applications for B2B and B2C clients across healthcare and e-commerce, focusing on UI development, backend APIs, and legacy-to-modern stack transitions. Engineered backend APIs in Node.js and Django, powering user and transaction workflows, and produced mobile-first UIs with AngularJS, jQuery, and Bootstrap.

Node Django AngularJS jQuery Bootstrap SQL RabbitMQ Jenkins Jest Selenium

Education

Degrees, certifications, and relevant coursework

University of Massachusetts Dartmouth

Bachelor of Science, Computer Engineering

Studied Computer Engineering at the University of Massachusetts Dartmouth from 2010 to 2014. Gained foundational knowledge in computer systems and software development.