I’m Wang Xin, a senior AI/ML and software engineer with 8+ years of experience building production-ready machine learning and GenAI systems, from model training and evaluation to deployment and monitoring. My focus spans LLM applications, RAG, multilingual NLP (English/Chinese), and intelligent backend services that turn real requirements into reliable AI features. I enjoy designing end-to-end AI pipelines—document ingestion, context assembly, semantic search and reranking, and structured output generation—while continuously improving accuracy, latency, and reliability. I’ve delivered AI solutions across healthcare-related products, cloud environments (AWS/Azure/GCP), and modern MLOps practices (Docker/Kubernetes, CI/CD), always with an emphasis on correctness, hallucination risk, and operational performance.…

Wang Xin

I’m Wang Xin, a senior AI/ML and software engineer with 8+ years of experience building production-ready machine learning and GenAI systems, from model training and evaluation to deployment and monitoring. My focus spans LLM applications, RAG, multilingual NLP (English/Chinese), and intelligent backend services that turn real requirements into reliable AI features. I enjoy designing end-to-end AI pipelines—document ingestion, context assembly, semantic search and reranking, and structured output generation—while continuously improving accuracy, latency, and reliability. I’ve delivered AI solutions across healthcare-related products, cloud environments (AWS/Azure/GCP), and modern MLOps practices (Docker/Kubernetes, CI/CD), always with an emphasis on correctness, hallucination risk, and operational performance.…

Available to hire

I’m Wang Xin, a senior AI/ML and software engineer with 8+ years of experience building production-ready machine learning and GenAI systems, from model training and evaluation to deployment and monitoring. My focus spans LLM applications, RAG, multilingual NLP (English/Chinese), and intelligent backend services that turn real requirements into reliable AI features.

I enjoy designing end-to-end AI pipelines—document ingestion, context assembly, semantic search and reranking, and structured output generation—while continuously improving accuracy, latency, and reliability. I’ve delivered AI solutions across healthcare-related products, cloud environments (AWS/Azure/GCP), and modern MLOps practices (Docker/Kubernetes, CI/CD), always with an emphasis on correctness, hallucination risk, and operational performance.

See more

Language

Chinese
Fluent
English
Advanced

Work Experience

Senior Full Stack & AI Engineer at Just Medical
April 1, 2022 - August 1, 2026
Built production AI applications using LLM APIs, RAG, semantic search, prompt engineering, and Python backend services. Designed chatbot/AI consultant systems with retrieval and conversational context assembly, and developed multilingual English/Chinese report-analysis and scoring workflows using NLP pipelines and quality-evaluation logic. Implemented systems to analyze and score applicant voice resumes through language analysis and automated evaluation workflows. Contributed to a human-voice detection system for rescue-team drones, and built document ingestion/retrieval pipelines (chunking, metadata-aware search, context assembly, response generation) integrated into the production stack. Evaluated AI behavior for correctness, latency, reliability, consistency, relevance, and hallucination risk, supporting deployment, monitoring, debugging, and iterative improvement.
Full Stack / Cloud & Automation Engineer at Honeywell Technologies
September 1, 2018 - March 1, 2022
Developed Python-based ML, deep-learning, and data-processing solutions using PyTorch, TensorFlow, and CatBoost, including feature engineering, model evaluation, and production integration. Built Chinese embeddings and task-oriented NLP/language-model solutions, contributing to algorithm selection, training/evaluation, and optimization. Integrated ML outputs into software and automation workflows, connecting data-processing components with operational services. Implemented containerized deployment with Docker/Kubernetes, Terraform-based infrastructure automation, and CI/CD via Jenkins and GitHub Actions. Worked across Azure, AWS, and GCP for deployment, monitoring, and reliable operation of application and AI workloads, supporting debugging, performance tuning, and continuous iteration across data, models, and deployment components.

Education

Master of Computer Science at Tianjin University of Technology
January 1, 2012 - January 1, 2018
Master of Computer Science at Tianjin University of Technology
January 1, 2012 - January 1, 2018

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Software & Internet, Professional Services, Computers & Electronics