Ryley Mao

Software Engineer

Building scalable backend systems, cloud infrastructure, and real world AI powered applications

About

Software Engineer

Backend Software Engineer specializing in scalable distributed systems, cloud infrastructure, and AI/ML powered applications.

Expert in Python, FastAPI, and modern cloud platforms (AWS, GCP). I design and deploy production grade APIs, microservices, and event driven architectures built to scale.

Focused on productionizing AI models, building cloud native applications, and delivering low latency, high throughput systems.

AI/ML Stack

LLM integrations and intelligent systems

LangChainOpenAI/Claude APIsRAGVector DBsEmbeddingsMCPAI AgentsWeb AutomationComputer Vision

Backend & Distributed Systems

Scalable architecture and data engineering

PythonFastAPINode.jsPostgreSQLRedisKafkaPub/SubMicroservicesEvent-Driven

Cloud & Infrastructure

Production deployment and DevOps

DockerAWSGCPCI/CDServerlessCloud RunLambdaWebSockets

Core Competencies

LLMs & AI AgentsAI/ML
95%
Python & FastAPIBackend
95%
Vector DBs & RAGAI/ML
92%
Web Automation & CVAI/ML
90%
Kafka & Event StreamingArchitecture
90%
Distributed SystemsArchitecture
93%
Docker & ContainersDevOps
90%
AWS & GCPCloud
92%
Selected Work

Featured Projects

2025
Full-Stack Cloud Application

Video Platform

Built a fullstack cloud native video platform enabling users to upload, browse, and watch videos with secure authentication. Implemented token based access control with Firebase Auth. Developed a containerized processing service on Cloud Run triggered by Pub/Sub events for automated video transcoding.

TypeScriptReactNext.jsFirebaseDockerGCP
2025
AI & Automation

Web Agent

Built an AI web agent that receives natural language tasks and autonomously navigates websites to complete them. Implemented DOM based navigation with LLM reasoning and perceptual hashing for UI tracking, reducing costs 90%. Developed multi agent architecture with persistent browser sessions.

PythonPlaywrightOpenAI APIAI Agents
2025
Developer Tools

HintAI

Built a realtime coding assistant with <50ms semantic search over 1,000+ embeddings using pgvector HNSW indexing. Chrome extension streams code via WebSocket; parses structure to detect patterns. Implemented RAG retrieval with vector + metadata search; Redis caching cut API costs 65%.

PythonFastAPIPostgreSQLChrome ExtensionWebSocket
2024
Machine Learning

NBA Point Predictor

Consolidated 10 seasons (2015–2025) of NBA data into unified dataset; engineered statistical features for training. Trained Random Forest model predicting player points; achieved 85% accuracy on hold out set via hyperparameter tuning. Created Jupyter visualizations showing feature importance.

PythonMachine LearningpandasJupyter
Get in Touch

Let's Connect

Interested in collaborating or discussing opportunities? Feel free to reach out through GitHub or LinkedIn.

Connect With Me

GitHub
LinkedIn

Based in New York City
Software Engineer

Open to Opportunities

I'm currently exploring new opportunities in software engineering. Whether it's full time roles, projects, or collaborations, I'd love to hear from you.

Backend Development

Building scalable APIs and backend systems

AI/ML Integration

LLM applications, RAG systems, intelligent automation

Distributed Systems

Microservices, event driven architecture, scalable backends