Rachel Park
Verified Expert in Engineering
Machine Learning Developer
Rachel is a big data professional experienced in various domains, including robotics, biotech R&D, entertainment/media, and healthcare. With 10+ years of experience in data mining and machine learning technologies, she's a proactive leader with strengths in communication and collaboration. With her expertise in the ML ecosystem, both on-prem and cloud-based, Rachel promotes automated data solutions and manages concurrent objectives to drive efficiency and influence positive outcomes.
Portfolio
Experience
Availability
Preferred Environment
Anaconda, Visual Studio Code (VS Code), Vector Databases, APIs, Amazon Web Services (AWS), Google Cloud Platform (GCP), Apache Airflow, Spark ML, Kubernetes
The most amazing...
...experience I've had in Toptal was when I led cross-disciplinary teams to deploy predictive ML models for Navy-funded projects, securing extended funding.
Work Experience
Tech Lead
Culmen International
- Collaborated closely with government data scientists and domain experts to understand project objectives and requirements, facilitating seamless communication between technical and non-technical stakeholders.
- Spearheaded prototyping of a predictive model for estimating the longevity of CAD/PAD devices, leveraging machine learning techniques and domain-specific knowledge.
- Successfully crafted a government proposal outlining a comprehensive architecture for deploying a machine learning application in the cloud.
AI ETL Solutions Engineer
Elevance Health
- Led the design and development of an automated machine learning-driven health data prediction engine, supporting software in on-prem (Hadoop-Spark) and cloud (AWS) environments alongside GPU-based computing.
- Proposed optimal tools and processes for streamlined data access and analysis to meet specific requirements identified in the initial evaluation and modified existing databases, tailoring them to unique needs and goals.
- Scripted processes for seamless data integration and implemented bug fixes to enhance overall system functionality, employing Python, Scala, and Java.
Data Engineer
Hart Inc.
- Designed and developed an ML-based health data search engine via automated schema prediction.
- Modified existing databases to meet unique needs and goals determined during initial evaluation and planning process.
- Wrote scripts and processes for data integration and bug fixes in Python, Scala, and Java.
- Planned, engineered, configured, and deployed ML tooling and big data solutions while supporting software in a Hadoop-Spark ecosystem.
TechOps Engineer
Telescope Inc.
- Built business logic for voting applications and directly support the world's largest live shows such as The Voice, American Idol, and Dancing with the Stars.
- Advised and provided versatile big data solutions using AWS (Dynamo, S3, EC2, etc.) to meet needs of clients.
- Wrote unit tests in Python to automate product validation.
- Researched and developed the integration of smart home devices to the current platform, provided prototypes as a proof of concept to executives/clients, and improved profit margins by launching new add-on projects for existing clients.
Development Engineer/Engineering Consultant
UCLA, Various Startups (Vortex Biosciences Inc., Ferrologix Inc., etc)
- Wrote code to automate statistical analysis on vision data (live/recorded microscopic images/videos) using data science and computer vision tools in Python, MATLAB, and R.
- Trained employees on usage of aforementioned codes remotely.
- Addressed R&D issues from data mining perspective in developing microfluidics platforms for medical applications.
- Authored publications in peer-reviewed scientific journals.
- Consulted start-up companies and assist director with project management.
Robotics Researcher
UCLA
- Developed algorithms to be tested on custom humanoid platforms using Simulink, Python, C++, Lua, ROS, LabView, and COMSOL.
- Maintained robot platforms using CAD, 3D rapid prototyping and CNC mill.
- Competed in DARPA Robotics Challenge Final as Team THOR. (USA, Jun 2015).
- Competed in RoboCup as Team THORwIn (China, Jul 2015) – 1st place winner in the adult-sized humanoid open platform.
- Work as robotics education outreach activity coordinator.
Experience
Data Type Predictor
Semantic Type Predictor
https://sherlock.media.mit.eduThis implementation predicts the semantic type of fields in a given database. It is useful for cleaning data and matching schema.
Single Cell Image Identifier
Skills
Languages
Python 3, SQL, Python, XML, C++, Scala, Java, JavaScript, R, C#
Frameworks
Spark, Selenium, Flask, Hadoop, Django
Libraries/APIs
Spark ML, PySpark, Pandas, REST APIs
Tools
Apache Airflow, Spark SQL, MATLAB, PyCharm, Atom, Sublime Text, Flume, Tableau
Paradigms
ETL, Data Science, RESTful Development
Platforms
Amazon Web Services (AWS), Docker, Kubernetes, Visual Studio Code (VS Code), Google Cloud Platform (GCP), Linux, Databricks, Azure, Arduino, Raspberry Pi, Anaconda, Apache Kafka
Storage
PostgreSQL, MySQL
Other
Machine Learning, Deep Learning, Scraping, Web Scraping, Data Scraping, Technical Leadership, Architecture, Back-end, Chatbots, Software Architecture, AWS Cloud Architecture, Vector Databases, Authentication, APIs, Robotics, Full-stack, OpenAI, Computer Vision, Image Processing, Image Generation, Robot Operating System (ROS), Visualization Tools, Technical Hiring, Data Analytics, Data Modeling, Data Profiling, Big Data
Education
Master of Science Degree in Mechanical Engineering
University of California, Los Angeles - Los Angeles, CA
Bachelor of Science Degree in Biomedical Engineering
Johns Hopkins University - Baltimore, MD
Certifications
Big Data Hadoop Certification
Edureka
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