Max Henkel-Wallace

DeepJudge AG

Software Engineer

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Numeral Two Inc.

Software Engineer - Seed Stage Startup

• Second technical hire; spearheaded changes across entire stack, implementing infrastructure, database, server-side and client-side features
• Designed and built a robust data pipeline using dbt, DuckDB, & PostgreSQL. On daily execution, pipeline would ingest, clean & transform >100 million rows of customer data across multiple data sources and upload to API
• Collaborated with CTO to develop a robust, secure, high-performance REST API using express to serve up to >2000 requests per hour during peak times

Amazon Web Services, Inc.

Software Development Engineer - Lex/Bedrock Team

• Planned, built and deployed changes to the Build Time API. Wrote Java-based implementation, and leveraged AWS Step Functions, EC2, DynamoDB, S3, and Cloudformation stacks for execution
• Developed a prototype to enhance existing Lex bots with LLM functionality. Using the Cloud Development Kit (CDK) to create all required infrastructure out of the box with minimal user involvement. This prototype was released externally and is publicly available.
• Indexing and runtime run in Lambda as dockerized ECS container images. Stored source files and indexes in S3. Hosted model in Sagemaker. Index updated by automatic event listener.
• Prototype has been cloned and utilized by >8 Solutions Architects
• Developed a program in Python to scale EC2 hosts within impacted regions during EC2 outages. When one Availability Zone is impacted, the script automatically provisions and terminates hosts so that capacity is maintained but are moved out of the impacted zone

Roku, Inc.

Software Engineer (University Internship) - Enterprise Engineering Team

• Full stack web development using NodeJS, React, Postgres, & GraphQL + Prisma
• Automated workflows within organization, saving an estimated 6 hours/week

SafeShare, Inc.

Software Engineer (University Internship) - AI Privacy Startup

• Developed, tested, and deployed applications using software engineering best practices and design patterns
• Created proof of concepts for healthcare customers that used large distributed/federated datasets
• Built, trained, tuned, and deployed machine learning algorithms tailored to customer needs

New York University

Bachelors in Data Science, Minor in Economics, German