Menachem Kornreich
*****************@*****.***
https://www.linkedin.com/in/mkornreich/
http://mkornreich.me/
Experience
• Software Development Engineer, Amazon Alexa Routines May 2022 - October 2023
– Leveraged Acoustic Event Detection ML platform to create new Alexa experiences, allowing users to set up continuous sound detection routines triggered on household sounds such as baby crying and snoring
– Drove technical launch plan for inferred routines program, creating a production deployment schedule for backend systems and coordinating with product team to align milestones to measure a successful release
– Leveraged AWS and other internal tooling for setting up mechanisms such as alarms and error detection to enhance system reliability and performance
– Contributed to the development of Java microservices and the Alexa app on Android and iOS using React Native and TypeScript
• Software Construction Learning Assistant, UCLA CS 35L September 2021 - December 2021
– Assisted student learning by helping facilitate discussion sections and holding office hours
– Practiced a variety of evidence-based strategies for helping students learn in collaborative environments
• Backend Developer, The Amplification Project July 2021 - September 2021
– Collaborated with a frontend developer in order to create an archive that raises awareness on forced migration
– Used Python and the Omeka API in order to allow the user to browse and upload submissions
• Accessibility Engineer, UCLA Office of Advanced Research Computing July 2021 - September 2021
– Used Adobe Acrobat to convert PDF documents into accessible versions that are to be used by screen readers Education
• University of California, Los Angeles (UCLA) Graduated December 2021
– Linguistics & Computer Science, B.A. (3.908/4.0 GPA) Projects
• Schedulator
– Served as the backend developer on a team that developed a cross-platform task management agenda app
– Utilized React Native, TypeScript, Python, and SQLite
• Word Familiarity Calculator
– Outputs a numeric value corresponding to measure of frequency of exposure to a word
– Made with Python and Flask using Word2vec and is currently hosted on PythonAnywhere
• Video Notes
– Tool that allows the user to take notes while simultaneously watching a YouTube Video
– Developed using HTML/CSS, JavaScript and the YouTube API Certifications
• Digital Marketing, Google Digital Garage • Project Management, Management & Strategy Institute Technical Skills
• Languages: Python, JavaScript/Typescript, Java, HTML/CSS, C, C++, Bash, Haskell, Lisp, Ruby, SQL, Go, C#/.NET, PHP, q/KDB+
• Frameworks/Libraries: Express, Django, Flask, NLTK, Node.js, React, Vue, WSGI, JUnit, Spring
• Technologies: Adobe Creative Suite, Amazon Web Service (Batch, CloudWatch, DynamoDB, ECS, EC2, IAM, Lambda, S3, SQS, VPC), Docker, Kubernetes, Git, Linux, Tableau, PowerBI, Docker