# Sook-Hee E. > Senior Software Engineer @ Toast IQ Location: Greater Boston, United States Profile: https://flows.cv/sookhee I specialize in scalable AWS architectures, operationally robust systems, and turning ambiguous problems into clear, maintainable platforms. Core strengths: • Designing and implementing event-driven distributed systems on AWS • End-to-end ownership across architecture, implementation, testing, deployment, and monitoring • Building highly available, cost-aware cloud services • Operating production systems with a strong focus on observability, reliability, and data consistency • Translating complex systems and data into clear, actionable insights for technical and non-technical stakeholders • Continuously learning and applying emerging technologies, including AI-assisted development Magna Cum Laude, Tufts University — Data Science (B.S.), Engineering Management (Minor) ## Work Experience ### Senior Software Engineer @ Toast Jan 2026 – Present | Boston, Massachusetts, United States ### Software Development Engineer II @ Amazon Fulfillment Technologies & Robotics Jan 2023 – Jan 2026 | Boston, MA - Architecting and developing cloud-native applications using an extensive AWS services stack: • Event processing with Lambda, SNS, and SQS for real-time notification delivery • Data persistence with DynamoDB and appropriate S3 bucket tiers for efficient storage • Infrastructure as Code using CloudFormation for repeatable deployments • Monitoring and observability through CloudWatch metrics and alarms - Leading DevOps and API management for LLM-powered chatbot infrastructure: • Prototyping a “touchless” LLM-powered web application using AI-assisted development and MCP servers to reason over live warehouse health data, emphasizing practical, production-oriented AI use cases •Developing and maintaining (and prompt engineering) for Python Lambda functions for LLM inference • Evaluating various foundation models through Amazon Bedrock and SageMaker • Building APIs to handle model interaction, response generation, and context management • Implementing monitoring and validation for model performance and response quality - Designing cross-account and cross-team monitoring solutions enabling metric and log discoverability across Amazon Robotics services, improving operational visibility and reducing MTTR - Building scalable event-driven systems processing 1000s of events daily for ticket management and notification delivery across AR teams and services - Developing RESTful APIs through API Gateway to expose critical operational data and enable seamless integration between internal services - Implementing comprehensive monitoring solutions with custom metrics, automated alerting, and cross-region data aggregation Key strengths: - Cloud architecture and AWS service implementation - LLM integration and API development - DevOps and infrastructure automation - Cross-functional technical leadership - Real-time system design and optimization - Data pipeline development - Infrastructure as Code ### Software Development Engineer I @ Amazon Fulfillment Technologies & Robotics Jan 2021 – Jan 2023 | Greater Boston - Led development of algorithmic solutions to optimize package sortation throughput at Amazon's largest sortation facility - Designed and implemented simulation-validated algorithms to optimize robotic and manual station utilization, incorporating real-time feedback loops and dynamic load balancing to maximize operational efficiency - Developed React-based tools for real-time system parameter adjustment and performance testing, enabling operations teams to fine-tune sortation algorithms without engineering intervention - Created comprehensive testing framework using Python to validate algorithm performance across various operational scenarios and load patterns - Built data pipelines to collect and analyze performance metrics, providing actionable insights for continuous system optimization - Collaborated across multiple Amazon organizations including Amazon Air, Operations, and Engineering teams to drive technical decisions and align on implementation strategies, leading to successful deployment across multiple facilities ### Data Engineer @ Rally® Recruitment Marketing Jan 2020 – Jan 2021 Developed a data analytics prototype and customer-facing website that provided recruiters and hiring managers with actionable insights on candidate engagement with brand content, supporting data-driven hiring, marketing, and recruitment strategies. Built several dynamic, real-time pages to present key engagement metrics, including click rates segmented by user demographics, content performance benchmarking, and employer brand comparison by industry and company size, helping clients optimize brand messaging and attract high-fit candidates. Designed features for evaluating campaign effectiveness across multiple dimensions—content type, topic, author, and recruiting channel—enabling users to refine targeting and track recruitment marketing success across platforms in one unified view. Leveraged a full-stack tech stack (Python, Django, PostgreSQL, JavaScript, D3.js) to filter and visualize data interactively, eliminating the need for manual data aggregation and analysis, reducing client reliance on spreadsheets, and providing quick and intuitive data insights. Enhanced the centralized analytics platform that supports recruitment marketing by giving users real-time visibility into candidate attraction, engagement, and brand alignment, empowering data-driven decisions and more effective recruitment strategies. ### Teaching Fellow @ Tufts University Jan 2019 – Jan 2021 Teaching Fellow for Introduction to Computer Science (COMP11). ### Teaching Assistant, Data Structures, Machine Structure & Assembly Language Programming @ Tufts University Jan 2019 – Jan 2020 Developing grading frameworks to automate testing using Python, C, and C++ for Data Structures and Algorithms. Coordinated grading and administrative tasks between other senior staff and professors. ### Software Development Engineer @ Amazon Robotics Jan 2020 – Jan 2020 | Greater Boston Developed an IntelliJ Gradle plugin designed to save developers hours of debugging time on a new internal framework. Rather than state machine errors being caught at runtime, the plugin allows the developer to check the State Chart XML (SCXML) for invalid, unreachable, or duplicate states, along with other XML errors. Also allows the user to render concurrent Finite State Machines (FSMs) of state blocks to share and visualize workflow. Met with customers and iterated on the product several times over the summer based on feedback. Delivered a fully-functional IDE plugin that I began deploying before the end of the summer to customers. Produced a high-level design document, user and installation guide, and "Implementing a Custom IntelliJ Plugin" internal document to guide future iterations and new plugins. ### Software Developer @ Tufts JumboCode Jan 2019 – Jan 2020 Developing a pro-bono website in a team using React and Firebase for The Clifton Foundation. Handled backend authentication and database integration, such as user profile creation, user field updates, and post additions. ### Lead Undergraduate Intern @ AdmitHub Jan 2019 – Jan 2019 Analyzed chatbot engagement and automation rates for partners using RoboMongo and pivot tables. Oversaw ten-person intern team and coordinated all intern projects with managers and engineers. Developed a program to predict company growth and staffing needs using Facebook’s Prophet API. ### Undergraduate Research Assistant @ Kaplan Laboratories Jan 2018 – Jan 2018 Assisted in a research project using human induced neuronal stem cells to recapitulate both the amyloid-β plaques neurofibrillary tangle pathologies to model the brain throughout Alzheimer’s disease - something no other model has achieved. A model of the brain and neurons was made by creating a 3D silk scaffold doughnut to seed hiNSC cells onto to then study the effect of Alzheimer’s disease on the brain and for high throughput assays for drug testing and development and to model human tissues for other complex innervated co-cultures like skin and corneas and other disease models. ### Administrative and Technical Intern, Asian American Center @ Tufts University Jan 2018 – Jan 2018 | Medford, MA Providing a supportive environment for academic and personal development of the Asian American community. Organizing, coordinating, and managing events as well as updating website and using other outreach methods to help ensure a successful college experience for members of the community. ### Teacher's Assistant and Tutor @ Tufts Literacy Corps Jan 2017 – Jan 2018 | Medford, MA Coached struggling third-graders through assignments one-one-one and communicated progress and ideas for further development to the teacher. ## Education ### Bachelor's degree Tufts University ### High School Germantown Academy ## Contact & Social - LinkedIn: https://linkedin.com/in/sook-hee - Portfolio: https://sevans09.github.io - GitHub: https://GitHub.com/sevans09 --- Source: https://flows.cv/sookhee JSON Resume: https://flows.cv/sookhee/resume.json Last updated: 2026-03-28