# Rachel Lou

> Research & Development Software Engineer || Climatebase Fellow

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/rachellou

just a gal in STEM!
I'm improving health outcomes, environmental sustainability and social equity through technological innovation. I am incorporating sustainability and climate action into my life. I have experience in software engineering, research, communications, and lab work. I am an active member of the Society of Women Engineers (SWE). 

Experiences in 
-Software/Hardware stack integration and architecture
-RF Engineering
-Data processing
-Machine learning–clustering and classification, model development, neural networks, U-nets
-Image processing- feature detection and matching, image segmentation
-Networking protocols gRPC Messaging, TCP/IP
-Build/test automation through Jenkins and AWS
-Python, C, C#, Java, SQL and tools such as Jupyter Notebooks, RDB, and Git

Link to graphic designs:
https://bit.ly/2ryBXA1

## Work Experience
### Research and Development Software Engineer @ Keysight Technologies
Jan 2021 – Present
-Implemented a Hardware Control Layer- a .NET service, multi-threaded application that manages setup, synchronization, and communication with PXI hardware modules 
-Expanded temperature calibration range by +/-5C, decreased data-retrieval time by 400x, increased waveform resolution by 8x.
-Integrated high-throughput data processing pipeline with postgres database
-Designed an API for quantum control system to support the testing of a large scale quantum system, collecting performance data and writing unit and integration tests for qubit control
-Designed and implemented secure deployment pipelines, testing frameworks, and simulation environments
-Engaged in the AGILE process and SCRUM certification

### Climatebase Fellow @ Climatebase
Jan 2025 – Jan 2025
-Conducted a capstone project developing a geospatial data backend for a climate modeling,
adaptation system.
-Collected and processed distributed GIS data (topography, flood, wind, and fire
hazards) and socioeconomic datasets to build a multimodal dataset for risk
modeling.
-Designed a data pipeline supporting an agentic AI model that analyzed historical
GIS data to predict localized climate impacts and inform adaptive planning
strategies.
-Participated in a 12-week climate industry–focused program combining expert-led
learning, project-based work, and community collaboration.

### Machine Learning Researcher (Undergraduate) @ University of California, Berkeley
Jan 2021 – Jan 2021
-Examined MRPerfusion scan image data over time to determine stroke severity
-Improved model accuracy by 10% by designing and applying 3D Convolutional Neural Networks, Unets
-Ran Keras library in Jupyter Notebook

### Computer Science and Molecular/Cell Biology Student @ University of California, Berkeley,
Jan 2017 – Jan 2021
-Honors Program
-Python, Java, C, Risc-V, Matlab, SQL, and Scheme 
-Modeling, Image-Processing, Neural Networks, and App Development
-Data Structures, Algorithms, Object-Oriented Programming, Dynamic Programming, Artificial Intelligence, and Computer Architectures
-Bioinformatics, DNA sequencing, plating, genetic assays, and wet lab experience (i.e. microscopy, PCR, spectrophotometry, chromatography)
- Organic Chemistry, Biochemistry and Molecular Biology, General Biology, General Genetics, Developmental Biology, Biochemistry, Immunology, and Statistics.

### Software Engineer @ Moichor
Jan 2020 – Jan 2020 | Berkeley, California, United States
-Automated the process of cell-identification and animal diagnostics using artificial intelligence, computer vision, and the experience of medical professionals.
-Designed a novel color correction algorithm for image-processing pipeline, which significantly improved cell identification performance. Received an award for technical publication
-Implemented qualitative/quantitative testing methods (SSIM, mAP) and data visualizations
-Optimized cloud microservice infrastructure for stochastic, high-throughput data, eliminating 83% of pipeline failures
-Leveraged AWS technologies such as IAM, Cloud Watch, RDS, S3, SQS, Sagemaker and Lambda to create a highly scalable product that reduced monthly costs by 10%

### Robotics Researcher (Undergraduate) @ University of California, Berkeley
Jan 2018 – Jan 2019
-Implemented Tensorflow reinforcement learning program to examine animal locomotion
-Enhanced an object tracking algorithm by examining, debugging, and testing existing code
-Researched, designed and ran experiments on crabs to acquire data for search-and-rescue robots

### Director Of Communications @ ASUC Student Union
Jan 2017 – Jan 2019 | Berkeley
-Managed cross-functional/cross-team projects
-Drove winning campaigns by creating and executing media plan that readily conveyed key information to students.
-Set and guide team marketing strategy for office social media and increased visibility to student body.
-Designed websites and graphics


## Education
### Molecular and Cell Biology in Developmental Genetics
University of California, Berkeley

### Agoura High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/rachel-lou-9964b9196

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Source: https://flows.cv/rachellou
JSON Resume: https://flows.cv/rachellou/resume.json
Last updated: 2026-03-29