Daniel Lin

Available to hire

I’m a Senior AI & Full-Stack Engineer with 9+ years of experience building production-grade AI systems end-to-end from backend infrastructure to modern AI tooling.

About

I’m a Senior AI & Full-Stack Engineer with 9+ years of experience building production-grade AI systems end-to-end from backend infrastructure to modern AI tooling. I specialize in LLM-based architectures that reduce manual effort while improving retrieval quality, using approaches like RAG pipelines and agentic workflows with low latency performance at scale.

  • Joined October 2026

Languages

  • EnglishFluent

Industry experience

  • Software & Internet
  • Government
  • Healthcare
  • Professional Services

More experts in Chicago, United States

Projects · 6

AI, LLM & RAG SaaS Platform for Deal Analysis

An AI-powered SaaS platform that helps companies understand why they win or lose deals. The solution combines AI agents, AI chatbot functionality, LLM integration, RAG, AI automation, and full-stack development to collect and analyze customer feedback, retrieve relevant context, generate actionable insights, and automatically create dashboards and PDF reports for users and executives. I also worked on Python backend logic, API integrations, responsive frontend features, and scalable SaaS architecture.

  • AI Engineer
  • Back-End Developer
  • Full Stack Developer
  • +1
AI Agents, LLM & RAG Healthcare SaaS Platform

As a Full Stack AI Developer, I built an AI-powered healthcare SaaS platform for nurse practitioner clinical rotations. The solution combines AI agents, LLM integration, RAG, AI automation, and Python full-stack development to support intelligent placement search, contextual data retrieval, student requests, real-time opportunities, automated workflows, offer management, and contract generation across web and mobile applications.

  • AI Engineer
  • Back-End Developer
  • Full Stack Developer
  • +1
AI CRM SaaS Platform | AI Agents, LLM & RAG

As a Full Stack AI Developer, I built an AI-powered CRM and sales management SaaS platform combining AI agents, LLM integration, RAG, AI automation, and Python full-stack development. The platform centralizes customer management, sales, billing, and operational workflows while using AI to retrieve business context, automate repetitive processes, generate insights, and support smarter sales operations through scalable APIs and dashboards.

  • AI Engineer
  • Back-End Developer
  • Data Engineer
  • +2
AI Tax Reporting SaaS Platform | AI Agents, LLM & RAG

As an AI Developer and SaaS Full-Stack Engineer, I built an AI-powered tax reporting platform using AI agents, LLMs, and RAG to support tax data retrieval, validation, reporting, and compliance workflows. The platform combines AI-powered automation with Python, JavaScript, APIs, and AWS to process tax data, apply multi-region tax logic, automate reports and exports, and provide secure employee access. I also worked on scalable backend services, API integrations, cloud deployment, and reliable data processing for production use.

  • AI Engineer
  • Back-End Developer
  • Data Engineer
  • +2
AI SaaS Client Portal | AI Agents, LLM & RAG Integration

As an AI Developer and SaaS Full-Stack Engineer, I built a white-label client portal for a U.S. vending-kiosk company. The platform combines AI agents, LLM integration, RAG, and AI automation to support contextual customer assistance, intelligent data retrieval, and streamlined service workflows. I also developed the SaaS application using Vue.js, Laravel, PHP, and third-party API integrations, focusing on scalable architecture, secure data exchange, performance, and a seamless branded user experience.

  • AI Engineer
  • Back-End Developer
  • Data Engineer
  • +2
AI Care Engagement SaaS | AI Agents, LLM & RAG

As an AI Developer and SaaS Full-Stack Engineer, I worked on an AI-powered care engagement platform connecting care home residents, families, and staff. The solution combines AI agents, LLM integration, RAG, and AI automation to support personalized content, contextual assistance, intelligent recommendations, and communication workflows. I also developed scalable web and mobile functionality using React, React Native, Laravel, APIs, and secure backend services.

  • AI Engineer
  • Back-End Developer
  • Data Engineer
  • +2

Work experience· 4 roles

Senior AI / Full-Stack Engineer · Vengo AISep 2023 – Aug 2026 · 3 yrs

Developed an LLM-powered automation system that replaced manual review and decision steps, reducing operational workload by ~35%. Architected high-precision retrieval pipelines including embedding, filtering, and re-ranking to significantly improve live answer accuracy in deployments. Designed multi-step AI agents that coordinated tools, retrieval, and synthesis for complex user queries with zero human input. Refactored async backend systems with caching and optimized CI/CD pipelines to enable faster, more reliable production releases. Operated as a full lifecycle owner from experimentation through production rollout.

Senior AI / Full-Stack Engineer · SphereMay 2022 – Jul 2023 · 1 yr 3 mos

Delivered AI services for enterprise/government use, accelerating analysis of large regulatory datasets. Built ingestion + indexing pipelines using LlamaIndex with vector databases to eliminate stale results and improve semantic recall. Developed scalable APIs using a modular architecture to support evolving AI needs with minimal technical debt. Diagnosed and resolved real-world latency and stability issues across production workloads.

AI Engineer · SimuHealthJan 2021 – Apr 2022 · 1 yr 4 mos

Developed and deployed AI-powered features for a healthcare platform, integrating GPT-based summarization and text classification into clinical and operational tools. Connected LLMs with backend services and created intuitive frontend interfaces to improve data interpretation and decision support for healthcare professionals. Streamlined backend workflows and data preparation to accelerate iteration on patient-facing features. Collaborated with product and design teams to ensure AI outputs were transparent, user-friendly, and aligned with healthcare compliance standards.

Software Engineer (Backend/Data) · Disq usJun 2018 – Dec 2020 · 2 yrs 7 mos

Education

Bachelors of Science in Computer Science (GPA 3.8/4.0) · Vanderbilt University2013 – 2017

Certifications and awards

Building Systems with the ChatGPT API2023

DeepLearning.AI course covering LLM application development, prompt design, and building multi-step workflows using the ChatGPT API.

LangChain for LLM Application Development2023 – 2024

DeepLearning.AI training in LangChain, prompt templates, chains, document retrieval, and building LLM-powered applications with RAG capabilities.

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