Open to opportunities

Dechao Shan

@dechaoshan

Message

Seasoned AI/ML and backend engineer specializing in GenAI, MLOps, and scalable cloud-native systems.

United States

Message

What I'm looking for

I seek remote roles where I can lead production AI/ML and backend engineering efforts, drive MLOps best practices, and build scalable, compliant GenAI systems.

I am a seasoned full-stack engineer focused on AI/ML, GenAI and advanced backend systems, with deep experience deploying production-grade models and services across AWS, GCP, and Azure.

I have designed end-to-end MLOps pipelines, containerized and orchestrated model deployments, built RAG solutions and fine-tuned LLMs, and implemented robust monitoring, CI/CD and governance to ensure reliability and compliance.

I excel at translating complex requirements into scalable microservices and data pipelines, leading cross-functional teams, and delivering measurable business impact through production AI systems.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Boehringer Ingelheim

Oct 2017 - Present (8 years)

Designed and automated end-to-end MLOps pipelines on AWS and GCP, deployed and monitored LLM and GenAI solutions (GPT-4, Llama, Claude) with RAG architectures, and improved model reliability via drift detection and CI/CD, enabling scalable production AI services.

MLOps Sagemaker Vertex AI Terraform Kubernetes Pinecone Prometheus MLFlow

Founding DevOps Engineer

Genotech Matrix

Jan 2016 - Sep 2017 (1 year 8 months)

Co-founded and architected secure AWS infrastructure and CI/CD for a life-sciences data platform, implemented Terraform/CloudFormation automation, Docker-based deployments, and monitoring to ensure resilient, compliant services for biotech clients.

AWS Terraform CloudFormation Docker Jenkins PostgreSQL Monitoring CI CD Disaster Recovery

Senior Backend Engineer

Icahn School of Medicine at Mount Sinai

Oct 2015 - Sep 2017 (1 year 11 months)

Architected and maintained backend APIs and ETL pipelines for clinical research using Python and Node.js, ensured HIPAA-compliant data storage and optimized database schemas for high-performance analytics.

Python Flask Node PostgreSQL MySQL ETL OAUTH2 HIPAA API Design

Software Engineer

Boehringer Ingelheim

Jul 2014 - Oct 2015 (1 year 3 months)

Developed Django-based backend modules and RESTful APIs for high-volume ticketing and business automation, optimizing data storage and implementing robust testing to improve system reliability.