Yecheng Tan
@ychengtan
Senior full-stack software engineer building MLOps and AI platforms for faster, compliant model deployment.
United StatesWhat I'm looking for
Senior Full-Stack Software Engineer with 8+ years of experience building production web services and large-scale data platforms that power real AI and machine learning workloads. I started by creating data collection systems for social media analytics, then designed scalable backend pipelines at comScore and later developed core networking infrastructure for EC2 VPC at AWS. At Google I now work on Vertex AI, where I develop full-stack web components and MLOps tools using React, TypeScript, Python and modern AI frameworks to help teams deploy and manage models more effectively in real enterprise environments
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Nov 2023 - Present (2 years 6 months)
Architected and delivered enhancements to Vertex AI components (Pipelines, Feature Store, Experiment Tracker) using FastAPI, MongoDB, and PostgreSQL, reducing model deployment cycles by 80%. Built React/Node/Firebase full-stack experiences for App Campaigns and delivered enterprise Explainable AI capabilities with D3.js and TensorFlow.
Software Engineer
Oct 2021 - Nov 2023 (2 years 1 month)
Built Python (FastAPI) backend services with Redis and PostgreSQL to automate data ingestion and ML training pipelines, increasing job throughput by 35%. Developed internal dashboards to visualize ML performance metrics, reducing model iteration time by 20%, and supported migration to TensorFlow Extended (TFX).
Software Engineer
Amazon Web Services
Jul 2019 - Oct 2021 (2 years 3 months)
Developed production full-stack services with Python, Boto3, React, and TypeScript to support EC2 VPC management and secure networking operations for enterprise customers. Built AI-enhanced network analytics using Python and TensorFlow to detect anomalies and predict traffic patterns, improving issue resolution speed and reliability.
Software Engineer II
Comscore
Sep 2017 - Jul 2019 (1 year 10 months)
Developed production web services and large-scale data pipelines using Python, AWS Glue, and Apache Spark for advertising and media audience measurement. Built scalable ETL systems and internal web APIs for ingestion, transformation, and real-time reporting, and implemented Flask-based monitoring tools for data quality and pipeline performance.
Student Programmer
George Washington University
Nov 2015 - Sep 2017 (1 year 10 months)
Developed secure full-stack web services for social media data collection using Python, Scrapy, Flask, and MySQL while applying cybersecurity best practices. Built AWS-backed backend data pipelines with EC2, S3, and RDS to securely process high-volume datasets.
Education
Degrees, certifications, and relevant coursework
George Washington University
Master's Degree, Computer Science and Cybersecurity
2015 - 2017
Earned a Master's Degree in Computer Science and Cybersecurity at George Washington University from 2015 to 2017.
Hohai University
Bachelor’s Degree, Computer Science and Technology
2008 - 2012
Earned a Bachelor’s Degree in Computer Science and Technology at Hohai University from 2008 to 2012.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Salary expectations
Social media
Job categories
Skills
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