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I am a full-stack engineer with a strong backend focus, experienced in building scalable serverless systems and large language model (LLM) powered applications on AWS. I have designed real-time architectures using AWS Lambda and API Gateway and developed Retrieval-Augmented Generation (RAG) systems leveraging Qdrant for vector search. My expertise includes Python, C++, and TypeScript, with a deep focus on cloud-native infrastructure and system design. I excel at creating scalable, event-driven backend systems with fault isolation and latency optimization. I enjoy building complex AI-powered applications that enhance user experience and optimize resource usage through innovations like semantic caching. My projects demonstrate my ability to deliver robust, maintainable, and scalable solutions suitable for various industries including energy, weather analytics, and web data scraping.…I am a full-stack engineer with a strong backend focus, experienced in building scalable serverless systems and large language model (LLM) powered applications on AWS. I have designed real-time architectures using AWS Lambda and API Gateway and developed Retrieval-Augmented Generation (RAG) systems leveraging Qdrant for vector search. My expertise includes Python, C++, and TypeScript, with a deep focus on cloud-native infrastructure and system design. I excel at creating scalable, event-driven backend systems with fault isolation and latency optimization. I enjoy building complex AI-powered applications that enhance user experience and optimize resource usage through innovations like semantic caching. My projects demonstrate my ability to deliver robust, maintainable, and scalable solutions suitable for various industries including energy, weather analytics, and web data scraping.

Yao Tian

Full Stack Developer, Cloud Developer, AI Developer, +1

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I am a full-stack engineer with a strong backend focus, experienced in building scalable serverless systems and large language model (LLM) powered applications on AWS. I have designed real-time architectures using AWS Lambda and API Gateway and developed Retrieval-Augmented Generation (RAG) systems leveraging Qdrant for vector search. My expertise includes Python, C++, and TypeScript, with a deep focus on cloud-native infrastructure and system design. I excel at creating scalable, event-driven backend systems with fault isolation and latency optimization. I enjoy building complex AI-powered applications that enhance user experience and optimize resource usage through innovations like semantic caching. My projects demonstrate my ability to deliver robust, maintainable, and scalable solutions suitable for various industries including energy, weather analytics, and web data scraping.…I am a full-stack engineer with a strong backend focus, experienced in building scalable serverless systems and large language model (LLM) powered applications on AWS. I have designed real-time architectures using AWS Lambda and API Gateway and developed Retrieval-Augmented Generation (RAG) systems leveraging Qdrant for vector search. My expertise includes Python, C++, and TypeScript, with a deep focus on cloud-native infrastructure and system design. I excel at creating scalable, event-driven backend systems with fault isolation and latency optimization. I enjoy building complex AI-powered applications that enhance user experience and optimize resource usage through innovations like semantic caching. My projects demonstrate my ability to deliver robust, maintainable, and scalable solutions suitable for various industries including energy, weather analytics, and web data scraping.

Available to hire

I am a full-stack engineer with a strong backend focus, experienced in building scalable serverless systems and large language model (LLM) powered applications on AWS. I have designed real-time architectures using AWS Lambda and API Gateway and developed Retrieval-Augmented Generation (RAG) systems leveraging Qdrant for vector search. My expertise includes Python, C++, and TypeScript, with a deep focus on cloud-native infrastructure and system design.

I excel at creating scalable, event-driven backend systems with fault isolation and latency optimization. I enjoy building complex AI-powered applications that enhance user experience and optimize resource usage through innovations like semantic caching. My projects demonstrate my ability to deliver robust, maintainable, and scalable solutions suitable for various industries including energy, weather analytics, and web data scraping.

Skills

Experience Level

Expert

Expert

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Expert

Work Experience

Developer at EnergyCopilot Project (AWS hackathon)

May 1, 2025 - August 8, 2025

Developed a real-time streaming Q&A system for the energy industry using AWS Lambda, API Gateway (WebSocket), SQS, DynamoDB, and Qdrant vector search. Designed a fully decoupled, event-driven architecture enabling independent scaling and fault isolation. Implemented semantic caching that reduced OpenAI API calls by up to 81%. Delivered streaming token-level LLM responses for improved user experience with a React frontend deployed via S3 and CloudFront. Designed the system for multi-user scalable deployment suitable for AI copilots and internal assistants.

Data Scientist / ML Engineer at Multi-Paradigm News Recommendation System

March 1, 2025 - August 8, 2025

Developed Python pipelines modeling sparse user-news interactions with SVD, content/user-based filtering, and GraphSAGE GNN in PyTorch Geometric. Implemented cold-start solutions via test-time user embeddings. Evaluated models on nDCG@5, AUC, Precision@5 with temporal holdout splits. Analyzed trade-offs for large-scale sparse scenarios to optimize ranking and resource usage.

Full Stack Engineer at Scalable Serverless Weather Analytics Platform

December 1, 2024 - August 8, 2025

Architected a fully serverless data pipeline on AWS using Lambda, EventBridge, DynamoDB, FastAPI, API Gateway, with a React/Next.js frontend. Built highly available, low-latency REST API with dynamic weather data queries. Implemented continuous deployment with AWS Amplify and GitHub CI/CD for global CDN distribution. Delivered 99.9% SLA-backed availability and automated weather data ingestion every 5 minutes.

Software Engineer at Modular Event Subscription Framework

May 1, 2024 - August 8, 2025

Designed and implemented a thread-safe C++ pub-sub system with modular event processors and TCP/JSON remote subscription for real-time logging. Supported dynamic event handler registration with priority dispatch. Used modern C++ STL constructs for an extensible runtime core, architected separation of transport, routing, and processing layers for future cloud integration.

Backend Developer at GitHub Project Web Scraper

March 1, 2024 - August 8, 2025

Built a backend service with MongoDB Replica Set on AWS EC2 for efficient ingestion and fuzzy search of GitHub projects. Optimized database queries with aggregation pipelines and indexing. Participated in agile development with daily stand-ups and iterative improvement cycles.