Data Science Instructor
2019 - PRESENTLambda School- Taught a data science and machine learning course that produces job market-ready graduates.
- Reviewed curriculum with cohort team leads so they can better support students.
- Provided support tailored to students' level of technical experience.
Technologies: Amazon Web Services (AWS), MongoDB, Redis, SQLite, PostgreSQL, OpenCV, PyTorch, Keras, Scikit-learn, Jupyter, Bokeh, Plotly, Matplotlib, Pandas, SciPy, NumPy, AWSData Scientist
2018 - 2019Pornhub- Automated the most time-consuming stage of the post-production team’s workflow by developing, deploying and monitoring a deep learning-based video action recognition system.
- Performed extensive cost/benefit analysis of various third-party crowd-sourced data services such as Amazon Mechanical Turk, Figure Eight, and Labelbox.
- Designed and developed a public-facing web application to crowd-source image labeling and annotation data, thus eliminating the need for third-party services and cutting project costs by $100+ thousand.
- Implemented customer segmentation algorithms for more precise advertisement targeting.
- Continuously improved the process of deploying and monitoring the performance of ML models in production by utilizing the best CI/CD practices such as code and model versioning or unit and integration testing.
Technologies: Elasticsearch, Splunk, MongoDB, Redis, Apache Hive, SQLite, PostgreSQL, OpenCV, PyTorch, Keras, Scikit-learn, Jupyter, Bokeh, Plotly, Matplotlib, Blaze, Dask, Pandas, SciPy, NumPyMachine Learning Engineer
2017 - 2018Splunk- Built machine learning applications within the Splunk ecosystem to allow users without a strong data science background to quickly train, validate, and deploy ML models.
- Implemented novel parameter-free machine learning algorithms in Splunk Machine Learning Toolkit.
- Designed serialization, versioning, and storage functionality of ML models in Splunk Machine Learning Toolkit.
- Provided consulting services to Splunk’s clients solving their operational and domain-specific challenges as well as establishing their data analytics strategy using Splunk.
Technologies: Elasticsearch, Splunk, MongoDB, Scikit-learn, Jupyter, Bokeh, Plotly, Matplotlib, Blaze, Dask, Pandas, SciPy, NumPy, Windows, MacOS, LinuxSoftware Engineer
2013 - 2016UrtheCast- Designed and developed software systems to process and classify satellite images using modern software development practices, including unit testing, continuous integration, and configuration management.
- Performed statistical modeling to test and verify the performance of developed algorithms.
- Administered on-premise and cloud-based Linux servers by installing and troubleshooting system software and programs.
- Developed Operations Database System for convenient monitoring of Space Segment’s health status, command execution, and data flow by allowing execution of interactive queries and creation of custom dashboards.
- Performed anomaly detection and statistical data analysis of log and telemetry data.
Technologies: Amazon Web Services (AWS), Elasticsearch, Splunk, MongoDB, Redis, Apache Hive, SQLite, PostgreSQL, OpenCV, Scikit-learn, Jupyter, Bokeh, Plotly, Matplotlib, Blaze, Dask, Pandas, SciPy, AWS, Linux
Alex Kim
Software Developer in Montreal, QC, Canada
Member since November 8, 2019
Alex is a machine learning engineer and data scientist with several years of experience with clients of note including Splunk, Pornhub, and Lambda School. In addition to his ability as a developer and data specialist, he has shared his expertise as an invited speaker at conferences and meetups, served as data instructor for past clients, and handled event organization for PyData Montral, Canada's largest PyData meetup.
Alex is now available for hire
Portfolio
- Lambda SchoolAmazon Web Services (AWS), MongoDB, Redis, SQLite, PostgreSQL, OpenCV...
- PornhubElasticsearch, Splunk, MongoDB, Redis, Apache Hive, SQLite, PostgreSQL...
- SplunkElasticsearch, Splunk, MongoDB, Scikit-learn, Jupyter, Bokeh, Plotly...
Experience
- Python 6 years
- Linux 6 years
- Scikit-learn 5 years
- Jupyter Notebook 5 years
- Amazon Web Services (AWS) 4 years
- PyTorch 2 years
- Keras 2 years
- Fast.ai 2 years
Availability
Part-time
Preferred Environment
Visual Studio Code, VS Code, PyCharm, Git, MacOS, Linux
The most amazing...
...thing I've done is build machine learning-based services used by millions of users per day.
Employment
Experience
- NSFW Data Scraper (Development)https://github.com/alex000kim/nsfw_data_scraper
NSFW data scraper and image classifier.
Featured in:
https://syncedreview.com/2019/01/15/nsfw-dataset-removes-humans-from-content-review/ - Presentation on Approximate Nearest Neighbors (Development)https://github.com/alex000kim/ann_presentation
Built using Jupyter slides and RISE extension.
- Parameter-free K-means Clustering: X-means (Development)https://github.com/alex000kim/XMeans
Implementation of X-means algorithm based on Pelleg, Dan, and Andrew W. Moore. "X-means: Extending K-means with Efficient Estimation of the Number of Clusters." ICML. Vol. 1. 2000. https://www.cs.cmu.edu/~dpelleg/download/xmeans.pdf
- Video Frame Remover (Development)https://github.com/alex000kim/video_frame_remover
Remove frames and borders around videos.
Skills
Languages
Python, RLibraries/APIs
NumPy, Pandas, Matplotlib, Scikit-learn, SciPy, PyTorch, Fast.ai, Keras, OpenCV, DaskPlatforms
Linux, Jupyter Notebook, Docker, Amazon Web Services (AWS), Visual Studio Code, MacOS, Windows, AWS EC2Tools
PyCharm, VS Code, Plotly, Jupyter, Splunk, ELK (Elastic Stack), Amazon SageMaker, Git, GitLab, GitHub, MATLAB, Atlassian Confluence, JiraStorage
Elasticsearch, PostgreSQL, SQLite, Apache Hive, Redis, MongoDB, AWS S3, AWS RDSOther
AWS, Blaze, Bokeh
Education
- Master's degree in Physics2011 - 2013Unviersity of Alberta - Edmonton, Canada
- Bachelor's degree in Physics2007 - 2011Moscow State University - Moscow, Russia
Certifications
- Splunk Certified Power UserAPRIL 2018 - PRESENTSplunk
- Machine Learning Engineer NanodegreeMARCH 2017 - PRESENTUdacity
