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I'm Jiaan Bai, a Computer Engineering student at the University of Toronto, pursuing an AI minor and a business certificate. I bring 4+ years of coding experience across languages such as Python, C++, and Java, with a strong foundation in operating systems, networks, and software engineering. I'm passionate about building scalable AI-powered backend systems and real-world applications. I've led design teams on university projects and contributed to startup backend development, including an RAG-based AI consultation platform and drone LiDAR-based recognition.…I'm Jiaan Bai, a Computer Engineering student at the University of Toronto, pursuing an AI minor and a business certificate. I bring 4+ years of coding experience across languages such as Python, C++, and Java, with a strong foundation in operating systems, networks, and software engineering. I'm passionate about building scalable AI-powered backend systems and real-world applications. I've led design teams on university projects and contributed to startup backend development, including an RAG-based AI consultation platform and drone LiDAR-based recognition.

Jiaan Bai

Back-End Developer, Web Developer, Data Scientist, +2

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I'm Jiaan Bai, a Computer Engineering student at the University of Toronto, pursuing an AI minor and a business certificate. I bring 4+ years of coding experience across languages such as Python, C++, and Java, with a strong foundation in operating systems, networks, and software engineering. I'm passionate about building scalable AI-powered backend systems and real-world applications. I've led design teams on university projects and contributed to startup backend development, including an RAG-based AI consultation platform and drone LiDAR-based recognition.…I'm Jiaan Bai, a Computer Engineering student at the University of Toronto, pursuing an AI minor and a business certificate. I bring 4+ years of coding experience across languages such as Python, C++, and Java, with a strong foundation in operating systems, networks, and software engineering. I'm passionate about building scalable AI-powered backend systems and real-world applications. I've led design teams on university projects and contributed to startup backend development, including an RAG-based AI consultation platform and drone LiDAR-based recognition.

Available to hire

I’m Jiaan Bai, a Computer Engineering student at the University of Toronto, pursuing an AI minor and a business certificate. I bring 4+ years of coding experience across languages such as Python, C++, and Java, with a strong foundation in operating systems, networks, and software engineering.

I’m passionate about building scalable AI-powered backend systems and real-world applications. I’ve led design teams on university projects and contributed to startup backend development, including an RAG-based AI consultation platform and drone LiDAR-based recognition.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI/Deep Learning Application Developer at State Grid Information & Telecommunications Group

May 1, 2025 - October 17, 2025

Spearheaded backend development for a system that supports automated legal consultations using FastAPI, LlamaIndex, Ollama, Milvus, Redis, PostgreSQL, and more. Fully responsible for developing the RAG pipeline, including vectorization, retrieval, and generation, while contributing to knowledge base design and management. Designed to support the legal department, the system provides automated consultations across four key areas: laws and regulations, case precedents, internal company policies, and system operation guidelines.

Backend Developer at Meowmane

November 1, 2024 - Present

Built backend for an innovative anime e-commerce platform specializing in custom wigs and future merchandise. Designed scalable user management, database, and secure transaction systems. Developed RESTful APIs and integrated an auto-matching system for order fulfillment. Collaborated closely with frontend developers to ensure a seamless user experience.

Design Team Leader at University of Toronto

January 1, 2023 - October 17, 2025

Selected as team leader for an engineering design project for Thermo-Fisher Scientific, coordinating cross-disciplinary collaboration and driving project milestones.

Deep Learning Projects

May 1, 2024 - October 17, 2025

Visual Recognition: Developed CNN-based models for character and animal classification, achieving over 93% accuracy. Text Recognition: Designed a spam-detection model using RNNs and Transformers. Word Recognition: Created an image-to-text application by combining CNNs, GRUs, and the CTC loss function.