Dayeon Song
Building multimodal AI platforms and cloud-native systems
About Me
I'm a Senior AI Full-Stack Engineer with 10+ years of experience building AI-powered applications, multimodal platforms, and cloud-native distributed systems. I deliver production-scale products spanning React/Next.js frontends, Node.js/Go/Python backend services, and AI infrastructure supporting video understanding, semantic search, embeddings, and generative AI workflows.
I'm experienced in translating machine learning capabilities into intuitive user experiences while maintaining high standards for scalability, observability, reliability, and operational excellence.
"Turning multimodal AI and foundation model capabilities into scalable, customer-facing products that enterprise users can actually use."
Experience
Building scalable systems and delivering impactful products
Twelve Labs
Senior Software Engineer
Technologies
Key Achievements
- Partnered closely with AI researchers and ML engineers to productionize multimodal foundation model capabilities, transforming model outputs into scalable APIs, developer tooling, and customer-facing AI experiences
- Designed and implemented scalable RESTful and GraphQL APIs adhering to OpenAPI specifications, powering video search, embedding generation, and multimodal model inference with low-latency access to the video understanding platform
- Architected and scaled distributed backend services in Node.js and Go on AWS ECS/Fargate and Kubernetes, supporting multi-tenant video intelligence workloads and enterprise-scale ingestion, indexing, and retrieval pipelines
- Optimized distributed video data processing with FFmpeg-based transcoding and AWS Media Services, achieving sub-second inference latency and improving system throughput by 45% through asynchronous, event-driven workflows (SQS, Kafka)
- Developed AI-powered user experiences in React and Next.js that visualized embeddings, semantic search results, and temporal video insights, improving accessibility of complex AI outputs for enterprise users
- Integrated multimodal AI pipelines into production applications, exposing embeddings, captions, and temporal highlights through REST and streaming APIs while ensuring scalability, consistency, and low-latency delivery
- Built distributed workflow orchestration systems using BullMQ, Redis Streams, and AWS Step Functions to automate long-running AI processing tasks including video encoding, indexing, similarity search, and embedding generation
- Established platform-wide observability using OpenTelemetry, Datadog, Prometheus, and Grafana, reducing MTTR by over 30% through proactive monitoring, SLO-based alerting, and automated incident detection
- Led migration of monolithic prototype services into containerized microservice architectures using Kubernetes, Terraform, GitHub Actions, and AWS CDK, enabling blue-green deployments, A/B model testing, and faster release cycles
- Collaborated cross-functionally with designers and PMs using Figma, ensuring seamless UX integration with backend APIs; improved first meaningful paint by ~35% through code-splitting and caching optimization
- Mentored engineers on API design, distributed architecture, and modern frontend best practices, helping establish shared component libraries and documentation aligned with product evolution
Intuit
Software Engineer II
Technologies
Key Achievements
- Implemented backend features and incremental enhancements across VEP growth/retention services using Java/Python, improving reliability and consistency of expert and customer workflows
- Built and maintained RESTful APIs and GraphQL endpoints, ensuring clear contracts, input validation, and backward compatibility for downstream clients
- Diagnosed and resolved defects across QA, pre-production, and production, delivering timely hotfixes and post-release patches while adhering to incident and release hygiene
- Wrote unit tests and applied test-driven development (TDD) to reduce regressions; improved confidence in deployments through repeatable test coverage for core business logic
- Participated in code reviews and maintained engineering documentation, raising code quality standards and accelerating onboarding through clearer patterns and reusable components
- Collaborated in an Agile/Scrum environment with senior engineers, product managers, and designers to scope work, break down requirements, and ship iterative improvements
- Applied core software design patterns and clean-code practices to keep services maintainable and scalable under changing product requirements
- Contributed to AI-driven experiences by integrating backend services with NLP, classic ML, and generative AI capabilities — orchestration hooks, safe request/response handling, and latency-aware design
Skills & Technologies
A comprehensive toolkit for building modern, scalable AI applications
AI & Machine Learning
- Generative AI
- LLM Applications
- Multimodal AI
- RAG
- Vector Search
- Semantic Retrieval
- Embeddings
- Prompt Engineering
- OpenAI GPT-4/4o
- Claude
- Gemini
- LangChain
- LangGraph
- LlamaIndex
- Pinecone
- FAISS
- AI Agents
- Tool Calling
- AI Inference APIs
- Video Understanding
Programming Languages
- Go
- TypeScript
- JavaScript
- Python
- SQL
Frontend Development
- React
- Next.js
- TypeScript
- Redux
- React Query
- Tailwind CSS
- GraphQL
- Jest
Backend & API Development
- Node.js
- Express.js
- Go (Gin)
- Python (FastAPI)
- REST APIs
- OpenAPI 3.0
- GraphQL
- Microservices Architecture
Cloud & Infrastructure
- AWS (ECS, Lambda, Step Functions)
- S3, CloudFront, Media Services
- GCP
- Docker
- Kubernetes
- Terraform
- AWS CDK
Databases & Distributed Systems
- PostgreSQL
- DynamoDB
- Redis
- Kafka
- SQS
- Event-Driven Architecture
Media Processing & Video
- FFmpeg
- AWS MediaConvert
- HLS Streaming
- Web Audio API
DevOps, CI/CD & Observability
- GitHub Actions
- Prometheus
- Grafana
- Datadog
- OpenTelemetry
- CloudWatch
Collaboration & Product
- Agile/Scrum
- Figma
- Technical Documentation
- Cross-Functional Collaboration
- Remote-First Development
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.
© 2026 Dayeon Song. All rights reserved.