Tal Baram
Philadelphia
Summary
Working as a Backend ML-Ops Engineer.
Skilled at building Data Pipelines, Micro-Services, API's and different automatic tools for our AI Solutions.
Writing Scalable and Efficient code which gets delivered to Production regularly.
Working mostly with Python, AWS, GCP, MongoDB, MySQL, & Redis, as well as various BI & Monitoring systems.
Overview
6
6
years of professional experience
Work History
ML-Ops Backend Engineer
Trax Retail
09.2023 - Current
- Developing the infrastructure for the Training & Deployment of our Image Recognition Models.
- Working on various API's, Services and Data Pipelines which are then used by our Model-Ops, Research and Data Analysis teams.
- Developing different tools to help Test & Monitor the performance of our AI Models.
- Developing a new Product which includes the implementation of an Augmented Reality solution on top of a Mobile app.
Backend Developer Infrastructure Team
Trax Retail
11.2022 - 09.2023
- Designed & Developed our main Workflows and different infrastructural Components in our System.
- Maintained our Integration and Testing Environments.
- Enhanced our CI/CD processes.
- Developed & Maintained different Apps on the Backend side.
- Worked with K8's Infrastructure, along with Pub/Sub & SNS/SQS Mechanisms to support our Event-Driven Architecture.
- Worked closely with the Devops team on various Scale related tasks.
Backend/ Data Engineer
Trax Retail
05.2021 - 12.2022
- Built Micro-Services to support the System's Data Layer.
- Developed & Maintained AI Solutions- Worked closely with the Data Science Team.
- Developed different ETL Pipelines using different resources (AWS/GCP Clouds, MongoDB, MySQL and others).
- Analyzed & Monitored our Data at different stages in our Pipeline.
- Worked with multiple BI/ Monitoring tools such as Looker, DataDog, Grafana, Loggly etc.
Data Science Intern
Trax Retail
02.2021 - 05.2021
- Worked on a model which identified false alarms from the Computer Vision engine.
- The work involved exploration and analyzation of Tabular Data, feature engineering, and usage of different machine learning models.
- Worked mostly with Python (Pandas & NumPy), Scikit learn and MySQL.
Technology Education Teacher
Ness Technologies
07.2019 - 10.2020
- Taught groups of select high achieving high school student the basics of Object-Oriented programming, Computer Networks, Cyber Security, Big Data, problem solving and more.
Education
Bachelor of Science - Information Technology
The Academic College of Tel-Aviv, Yaffo
Tel Aviv, Israel10-2020
Data Science & Machine Learning -
Israel Tech Challenge
Tel Aviv, Israel02.2021
Skills
- Software Architecture
- Python
- Machine Learning & AI Development
- K8's, MongoDB, Redis, MySQL, GCP, AWS
Publications
Classifying emotions using audio recordings and Python.
https://towardsdatascience.com/classifying-emotions-using-audio-recordings-and-python-434e748a95eb/
Awards
- Dean's List Honoree, 12/01/18
- President's List Honoree, 12/01/19
- Dean's List Honoree, 12/01/20
Timeline
ML-Ops Backend Engineer
Trax Retail
09.2023 - Current
Backend Developer Infrastructure Team
Trax Retail
11.2022 - 09.2023
Backend/ Data Engineer
Trax Retail
05.2021 - 12.2022
Data Science Intern
Trax Retail
02.2021 - 05.2021
Technology Education Teacher
Ness Technologies
07.2019 - 10.2020
Bachelor of Science - Information Technology
The Academic College of Tel-Aviv, Yaffo
Data Science & Machine Learning -
Israel Tech Challenge
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