signal processing engineer resume example with 5+ years of experience

Jessica Claire
, , 609 Johnson Ave., 49204, Tulsa, OK 100 Montgomery St. 10th Floor
Home: (555) 432-1000 - Cell: - - : - -
Career Profile
  • Algorithm Development Engineer with 5 YOE in software/algorithm development in Matlab/Python/C/C++
  • Python Libraries: PyTorch, TensorFlow/Keras, Pandas, Numpy, SkLearn, OpenCV, Protobuf, Matplotlib, Seaborn, Scipy
  • Software Languages: C++, Python, Matlab, Git Bash, Bash, SQL, Java, Shell Script
  • Software Tools: Docker, Kubernetes, OpenShift, Jenkins, MongoDB, AWS (SageMaker, S3, ECR, etc.), Apache Kafka, MS Visual Studio, MS Office Suite, Tableau, Apache Zookeeper
Career Highlights
  • Delivered AI/Statistical Reasoning Models as part of program designed to capture complex anomalous behavior within EO/IR imagery. SRMs utilized pandas data mining/wrangling to find patterns in metadata. Personally delivered algorithm to flag congregations among people utilizing protobuf messaging scheme in real-time system. [Project Maven]
  • Designed Jenkins/Kubernetes pipeline of algorithm ranking system which deployed air-combat mission simulations in xGym; a Kafka message triggered the pipeline at which point Docker images of algorithms were grabbed from AWS. Managed several hundreds of submissions per week and maintained a leaderboard with performance stats from simulation. [AI Grand Challenge]
  • Implemented online class-monitoring training algorithm in TensorFlow to improve object detection on challenging examples. Precision improved by ~25%, and Recall by ~20% on COWC dataset. Algorithm derived from "self curriculum learning" academic literature. [HEM - Hard Example Mining]
Professional Experience
06/2021 to Current
Principal AI Systems Engineer Leidos , , Woodland Hills, CA
  • Personally implemented clustering/classification algorithm, and tuned signal processing chain as part of GPS signal anomaly detection effort; classifier differentiated between various low-power signals (3-10dB Rx power). Created offline auto-labeling procedure to avoid human-intensive labeling. Stood up algorithm modules in docker-compose network to operate in cloud-based real time system. (INTM)
  • Tuned GradCAM heatmaps with regularization techniques in hair-color classification to discourage false correlations in learning. Increased Content-Heatmap metric (IoU between desired and actual heatmap) by 22% and saw minor decrease in overall classification accuracy by .6%. Integrated ONNX model into PeopleNet inside NVIDIA Deepstream and saw comparable results with security camera footage (UMBC Collaboration)
05/2017 to 06/2020
Algorithms Developer Engineer Adobe Systems Incorporated , , Tucson, Arizona
  • Followed Agile/SCRUM practices on performance team to complete high-priority tasks to boost performance on KPI's for large missile program. Monte Carlo regression testing/unit testing/best coding practices emphasized.
  • Reconfigured entire image-processing pipeline to produce detections/tracks with 4X FPA Size on large MDA program. Steps included acquiring space imagery, applying masks/filters, and eventually producing detections and tracks
Expected in 05/2023 to to
Masters of Engineering: Data Science Engineering
University of California - Los Angeles - Los Angeles, CA

GPA: 3.85

Past Coursework: DSP, Probability and Statistics, Neural Networks and Deep Learning, Large Scale Models: Data Mining and Algorithms

Expected in 05/2017 to to
Bachelor of Science: Electrical And Computer Engineering
University of Arizona - Tucson, AZ,

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Resume Overview

School Attended

  • University of California - Los Angeles
  • University of Arizona

Job Titles Held:

  • Principal AI Systems Engineer
  • Algorithms Developer Engineer


  • Masters of Engineering
  • Bachelor of Science

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