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Meihao Cheng is a Computer Science Master's student at Northeastern University Vancouver (3.97 GPA), graduating December 2025. She specializes in backend development, AI integration, and distributed systems, with hands-on experience building LLM-powered applications and scalable microservices architectures. During her internship at Traction Complete, Meihao developed AI-powered Chrome extensions that reduced manual research time by 75%, integrating multiple LLM providers (OpenAI, Anthropic, Perplexity) with Google Sheets for automated CRM enrichment. She also built a Salesforce AI chatbot using Apex and Lightning Web Components. For her capstone project with Regie.ai, she developed a 4-stage LLM-driven sales intelligence system using FastAPI and PostgreSQL that automates B2B company research and outreach generation. Her technical toolkit includes Python, Go, TypeScript, AWS (ECS, Lambda, RDS), Docker, Kubernetes, and various databases. Meihao brings a unique perspective to tech, having transitioned from a business background with experience in B2B e-commerce and social media management at Alibaba. She's actively seeking new graduate opportunities in backend, full-stack, and AI development roles.…Meihao Cheng is a Computer Science Master's student at Northeastern University Vancouver (3.97 GPA), graduating December 2025. She specializes in backend development, AI integration, and distributed systems, with hands-on experience building LLM-powered applications and scalable microservices architectures. During her internship at Traction Complete, Meihao developed AI-powered Chrome extensions that reduced manual research time by 75%, integrating multiple LLM providers (OpenAI, Anthropic, Perplexity) with Google Sheets for automated CRM enrichment. She also built a Salesforce AI chatbot using Apex and Lightning Web Components. For her capstone project with Regie.ai, she developed a 4-stage LLM-driven sales intelligence system using FastAPI and PostgreSQL that automates B2B company research and outreach generation. Her technical toolkit includes Python, Go, TypeScript, AWS (ECS, Lambda, RDS), Docker, Kubernetes, and various databases. Meihao brings a unique perspective to tech, having transitioned from a business background with experience in B2B e-commerce and social media management at Alibaba. She's actively seeking new graduate opportunities in backend, full-stack, and AI development roles.

Meihao Cheng

Full Stack Developer, Web Developer, Front-End Developer, +2

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Meihao Cheng is a Computer Science Master's student at Northeastern University Vancouver (3.97 GPA), graduating December 2025. She specializes in backend development, AI integration, and distributed systems, with hands-on experience building LLM-powered applications and scalable microservices architectures. During her internship at Traction Complete, Meihao developed AI-powered Chrome extensions that reduced manual research time by 75%, integrating multiple LLM providers (OpenAI, Anthropic, Perplexity) with Google Sheets for automated CRM enrichment. She also built a Salesforce AI chatbot using Apex and Lightning Web Components. For her capstone project with Regie.ai, she developed a 4-stage LLM-driven sales intelligence system using FastAPI and PostgreSQL that automates B2B company research and outreach generation. Her technical toolkit includes Python, Go, TypeScript, AWS (ECS, Lambda, RDS), Docker, Kubernetes, and various databases. Meihao brings a unique perspective to tech, having transitioned from a business background with experience in B2B e-commerce and social media management at Alibaba. She's actively seeking new graduate opportunities in backend, full-stack, and AI development roles.…Meihao Cheng is a Computer Science Master's student at Northeastern University Vancouver (3.97 GPA), graduating December 2025. She specializes in backend development, AI integration, and distributed systems, with hands-on experience building LLM-powered applications and scalable microservices architectures. During her internship at Traction Complete, Meihao developed AI-powered Chrome extensions that reduced manual research time by 75%, integrating multiple LLM providers (OpenAI, Anthropic, Perplexity) with Google Sheets for automated CRM enrichment. She also built a Salesforce AI chatbot using Apex and Lightning Web Components. For her capstone project with Regie.ai, she developed a 4-stage LLM-driven sales intelligence system using FastAPI and PostgreSQL that automates B2B company research and outreach generation. Her technical toolkit includes Python, Go, TypeScript, AWS (ECS, Lambda, RDS), Docker, Kubernetes, and various databases. Meihao brings a unique perspective to tech, having transitioned from a business background with experience in B2B e-commerce and social media management at Alibaba. She's actively seeking new graduate opportunities in backend, full-stack, and AI development roles.

Available to hire

Meihao Cheng is a Computer Science Master’s student at Northeastern University Vancouver (3.97 GPA), graduating December 2025. She specializes in backend development, AI integration, and distributed systems, with hands-on experience building LLM-powered applications and scalable microservices architectures.

During her internship at Traction Complete, Meihao developed AI-powered Chrome extensions that reduced manual research time by 75%, integrating multiple LLM providers (OpenAI, Anthropic, Perplexity) with Google Sheets for automated CRM enrichment. She also built a Salesforce AI chatbot using Apex and Lightning Web Components.

For her capstone project with Regie.ai, she developed a 4-stage LLM-driven sales intelligence system using FastAPI and PostgreSQL that automates B2B company research and outreach generation. Her technical toolkit includes Python, Go, TypeScript, AWS (ECS, Lambda, RDS), Docker, Kubernetes, and various databases.

Meihao brings a unique perspective to tech, having transitioned from a business background with experience in B2B e-commerce and social media management at Alibaba. She’s actively seeking new graduate opportunities in backend, full-stack, and AI development roles.

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Work Experience

Software Developer Intern at Link

June 1, 2025 - July 1, 2025

Developed a Chrome extension with React and TypeScript integrated with Google Sheets API, enabling AI-powered batch data enrichment across multiple LLM providers (OpenAI, Perplexity, Anthropic) to streamline internal research workflows. Implemented concurrent request handling to coordinate batch processing and integrated backend logic to transform LLM outputs into structured data for downstream analytics.

Student Developer at Regie.ai

September 1, 2025 - December 1, 2025

Architected an LLM-driven backend to automate B2B sales intelligence workflows, reducing manual research time from hours to minutes per profile. Implemented multi-LLM orchestration, exponential back-off retry logic, and structured outputs for downstream tooling.

Student Developer at BC Cancer Foundation

January 1, 2025 - April 1, 2025

Built a full-stack web app using React, Node.js/Express, and MySQL to manage fundraising events and donor vetation workflows, handling 1000+ donor records. Designed RESTful APIs with MySQL integration; implemented multi-level donor recommendations, search/pagination, and CSV export. Created reusable React components (tables, forms, modals) and JWT-based authentication.

Distributed Microservices E-commerce Platform (Project) at GitHub Link

October 1, 2025 - November 30, 2025

Architected a distributed microservices e-commerce system using Go and RabbitMQ to handle 200K+ requests with asynchronous processing; deployed on AWS with Terraform, Docker, and ECS; configured ALB/NLB load balancing, RDS persistence, and CloudWatch monitoring.

Full-Stack E-commerce Application Developer (MER N Stack) at GitHub Link

September 1, 2024 - December 1, 2024

Developed a full-stack e-commerce application with React, Node.js/Express, and MongoDB; implemented RESTful APIs for cart, checkout, and order workflows; JWT authentication.