# Lucas (Zhixiang) Meng

> Software Development Engineer II at Amazon

Location: United States, United States
Profile: https://flows.cv/lucaszhixiangmeng

Proficient in Java, Kotlin, TypeScript, Python and Scala
AWS: CloudFormation, IAM, APIGW, ECS, Lambda, DynamoDB, CloudWatch
Web App Development: React, Vue, Flask, Spring
Big Data Tools: Spark, Hadoop, HiveQL, Airflow
Machine Learning / Computer Vision / NLP: Amazon Q, Bedrock,  Scikit-Learn, Keras, TensorFlow, NLTK
Development Practices: Agile development (Scrum) and version control (Git)

## Work Experience
### Software Development Engineer II @ Amazon
Jan 2021 – Present | Toronto, Ontario, Canada
Buy with Prime (BwP)                                                                                                                                                       
- Led the Photo on Delivery project, reducing refund requests by 20%; Directed cross-functional collaboration with security, privacy, legal, and fulfillment teams to ensure alignment and seamless execution (Java)
- Led the Enhanced Order Timeline project in Customer Support domain, simplified service architecture and improved CS agent efficiency; Mentored two junior SDEs and collaborated with Tracking team to drive successful outcomes (Kotlin)
- Led the integration of Inventory Availability Service into BwP ordering process, enabling item availability validation; Collaborated with Ordering team and mentored two junior SDEs to drive successful delivery (Kotlin)
- Integrated BwP Identity service with SDO AztecService for Login with Amazon functionality (Java)

Fulfillment by Amazon (FBA) Inbound                                                                                                                        
- Enhanced the intent-to-instock (i2i) system, a backend middle layer for Send To Amazon platform and an orchestration framework to facilitate communication with downstream services (Java, Typescript)
- Led the Single SKU Palletization project to optimize inbound process for pre-packed pallets, benefiting 6% of FBA sellers
- Improved  system scalability to increase inbound limit to support up to 5,000 containers per workflow

### Data Scientist II @ Intact
Jan 2021 – Jan 2021 | Toronto, Ontario, Canada
- Developed functions of data processing, optimization and visualization pipelines (Python); Owned visualization packages
- Generated visualizations for data validation and model evaluation; Reviewed costing and retention models performance
- Built optimization and backfitting pipeline for Intact Ontario insurance pricing algorithms using in-house libraries

### Full-Stack Developer @ Linggo
Jan 2019 – Jan 2021 | Toronto, Ontario, Canada
• Developed a communication and speech training system for patients under nonverbal conditions, and a companion app for therapists to collect data, view reports and monitor therapy progress
• Led a dev team of 3 engineers; Collaborated with therapists, test users and designers on feedback and updates
• Designed REST API for user profile/images/library/language trees/communication records/reports
• Implemented backend functions in Python and deployed it using Serverless framework on AWS
• Built data pipeline to process user data and generate progress reports

### Data Scientist Threat Monitoring @ Scotiabank
Jan 2019 – Jan 2021 | Toronto, Ontario, Canada
- Optimized big data processing algorithms (Scala, Spark) to process SWIFT transaction records, reducing processing time from 24 hours to 2 hours and significantly enhancing efficiency and throughput
- Developed data pipelines (Spark, Scala, Python) to load, transform and integrate billions of data records from different sources into Hive tables and build a unified financial network
- Implemented entity resolution algorithms to identify the same entities across different data channels

### Software Product Prototyper @ Deloitte
Jan 2018 – Jan 2019 | Kitchener, Ontario, Canada
• Developed a web application prototype, leveraging NLP models for text classification, concept extraction and text generation, to accelerate technical document compositions
• Implemented NLP algorithms and trained customized models, using NLTK, SpaCy, Scikit-Learn and Keras
• Implemented frontend and backend functions using Vue, Flask and MongoDB; Created the docker images and deployed the app on an AWS EC2 server

### Teaching Assistant @ University of Waterloo
Jan 2018 – Jan 2018 | Waterloo
TA for CS 135 and CS 330
- Discussed and finalized the assignments/exams solutions with other TAs
- Proctored midterm and final exams
- Marked assignments/exams, gave students feedback and answered their questions

### Technology and Services Industrial Placement Trainee @ HSBC
Jan 2015 – Jan 2016 | Hong Kong
- Learned to program on the terminal of mainframe computer within two weeks.
- Developed and tested functions to categorize types of transactions on mainframes for 5 software projects deployed in 7 countries and regions to accelerate afterward processing.
- Developed programs to analyze production and development statistics and automatically generate reports for the whole team weekly.


## Education
### Master of Math - MMath in Computer Science
University of Waterloo
Jan 2017 – Jan 2019

### Bachelor of Science in Computer Science
The Chinese University of Hong Kong
Jan 2012 – Jan 2017


## Contact & Social
- LinkedIn: https://linkedin.com/in/zhixiang-meng

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Source: https://flows.cv/lucaszhixiangmeng
JSON Resume: https://flows.cv/lucaszhixiangmeng/resume.json
Last updated: 2026-03-29