Dayeon Song
Building AI-Powered
Media-centric products & platforms with expertise in distributed systems, video/audio pipelines, and API-first architectures
About Me
I'm a Full Stack Software Engineer with 10 years of experience building AI-powered, media-centric products and platforms. I specialize in distributed systems, video/audio pipelines, and API-first architectures (REST/OpenAPI, GraphQL).
My expertise lies in bridging ML inference outputs (embeddings, captions, temporal highlights) into performant, accessible web experiences. I have strong operational ownership in observability, SLOs/alerting, incident response, and production hardening.
"Transforming complex AI/ML outputs into elegant, scalable solutions that deliver real value to users and businesses."
Experience
Building scalable systems and delivering impactful products
Twelve Labs
Senior Software Engineer
Technologies
Key Achievements
- Designed and implemented scalable RESTful and GraphQL APIs adhering to OpenAPI specifications, powering features such as video search, embedding generation, and multimodal model inference
- Architected high-throughput, service-oriented backend systems in Node.js and Go, deploying via AWS ECS/Fargate and Kubernetes
- Optimized distributed video data processing with FFmpeg-based transcoding and AWS Media Services, achieving sub-second inference latency and improving system throughput by 45%
- Built responsive frontend interfaces in Next.js and React with real-time visualization of video embeddings, search results, and annotation timelines
- Integrated AI/ML pipelines into user-facing applications, exposing model outputs through REST and streaming endpoints
- Developed resilient background processing systems using BullMQ, Redis Streams, and Step Functions
- Implemented observability and monitoring stack with Prometheus, Grafana, Datadog, and OpenTelemetry, reducing MTTR by >30%
Intuit
Software Engineer II
Technologies
Key Achievements
- Implemented backend features and incremental enhancements across VEP growth/retention services using Java/Python
- Built and maintained RESTful APIs and GraphQL endpoints, ensuring clear contracts, input validation, and backward compatibility
- Diagnosed and resolved defects across QA, pre-production, and production, delivering timely hotfixes and post-release patches
- Applied test-driven development (TDD) to reduce regressions and improve deployment confidence
- Participated in code reviews and maintained engineering documentation, raising code quality standards
- Collaborated in an Agile/Scrum environment with cross-functional teams to scope work and ship iterative improvements
- Contributed to AI-driven experiences by integrating backend services with NLP/classic ML/generative AI capabilities
Skills & Technologies
A comprehensive toolkit for building modern, scalable applications
Languages
- Go
- TypeScript
- JavaScript
- Python
- SQL
Frontend
- React
- Next.js
- Redux
- Tailwind CSS
- GraphQL
- react-query
- Jest
Backend
- Node.js
- Express
- Gin
- FastAPI
- REST (OpenAPI 3.0)
- GraphQL
Infrastructure
- AWS (ECS, Lambda, Step Functions)
- S3, CloudFront, Media Services
- GCP
- Docker
- Kubernetes
- Terraform
- AWS CDK
Databases & Messaging
- PostgreSQL
- DynamoDB
- Redis
- Kafka
- SQS
Media & AI Tools
- FFmpeg
- AWS MediaConvert
- HLS
- Web Audio API
- Pinecone
- FAISS
CI/CD & Monitoring
- GitHub Actions
- Prometheus
- Grafana
- Datadog
- OpenTelemetry
- CloudWatch
Collaboration
- Figma
- Agile/Scrum
- Remote-first async workflows
Education
Academic foundation for technical excellence
New York University
Bachelor of Computer Science
Comprehensive foundation in computer science principles, algorithms, data structures, and software engineering practices. Developed strong problem-solving skills and theoretical understanding that continues to inform my practical work in building scalable systems.
Let's Work Together
I'm always open to discussing new opportunities, interesting projects, or just having a conversation about technology and innovation.
© 2025 Dayeon Song. All rights reserved.