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2018 - 2019 Berkeley, CaBrought together researchers and engineers for lectures and tutorials on state-of-the-art deep learning methods and best practices for running deep learning on high-performance computing systems Provided opportunities to connect with other students and scientists with a shared interest and discuss how the latest advances in learning algorithms can be used for their science Built and maintained a data and reporting infrastructure using Grafana and SQL to provide real-time insights into the integrity and efficiency of the supercomputer data infrastructure with Street Address + TB of data Designed a graphing, monitoring, and 3D visualization tool used for intelligent monitoring and alerting Set up and managed Docker containers running PHP applications for deployment into Kubernetes Pods Collaborated with 6+ senior network engineers, software engineers, and the engineering manager to define release management processesPerformed in-depth data analysis on novel sensors to determine the instantaneous direction of power flow in commercial power systems with intermittent sources.Engineered and evaluated circuit schematics to assess and optimize system performance based on analytical findings. Integrated microcontrollers with magnetic field sensors to assemble and rigorously test performance, ensuring accurate data capture.Conducted sophisticated data analysis and visualization using MATLAB and AutoCAD, translating complex research findings into actionable insights.Python SQL Java MATLAB Linux Git TensorFlow YAML Prometheus Grafana Elasticsearch Kubernetes Docker Matpoltlib Jupyter Pandas Excel Google Charts CAD Detail-oriented and innovative IT professional with 5+ years of experience in engineering, DevOps, and data analytics. Adept at providing comprehensive technical and administrative support in virtual environments. Committed to leveraging my skills and expertise to enhance technology operations and deliver effective solutions to complex challenges. High Performance Computing ClubUniversity of California Berkeley, Berkeley Sensor and Actuator Center DSL4SCI (Deep Learning School for Science)Data Visualization:Programming Languages:Monitoring and observability:Visiting ResearcherDevOps InternMemberLawrence Berkeley National LaboratoryProfessional ExperienceExtracurricular Activities and Project ExperienceSkillsSummaryLawrence Berkeley Laboratory- National Energy Research Scientific Computing Center JAMEELAH N. MERCER2019 - 2021 Berkeley, Ca2017 - 2019 Berkeley, CaCompeted at the SC18 International Conference for High Performance Computing, Networking, Storage, and Analysis Built and maintained a miniature super-computing cluster using git, linux, python, and bash commands Configured and complied a free, open-source software called Horovod to distribute deep-learning training using TensorFlow, Jupyter Notebook, Matpoltlib, and Linux2019 & 2020 Berkeley, CaSan Jos, Ca EMAIL AVAILABLE PHONE NUMBER AVAILABLE LINKEDIN LINK AVAILABLE Lawrence Berkeley National LaboratoryResearch AssistantAnalyzed indoor air quality data to characterize microfluidic sensors for airborne particles, using statistical tools in Excel to process and interpret data trends.Assembled, tested, and analyzed sensor data to refine designs and improve measurement accuracy. Prepared experimental results using data visualization tools such as Google Charts and Excel, effectively communicating complex data insights to stakeholders and contributing to research publications. 2015 - 2017 Berkeley, CaCircuit LaunchBuilt a miniature autonomous car and collected data using computer vision Trained a Convolutional Neural Network using Keras, python programming and tensorflow Implemented a deep learning autopilot using a Behavioral Cloning (Imitation Learning) technique Tested and troubleshoot any diagnostic issues with robotic hardware and software Wrote, edited, and formatted technical documentation for machine learning models and software Machine Learning InternSummer -2022 Oakland, CaEducationAssociates of Science- Mathematics Berkeley City College - May 2021 Bachelor's of Science- Applied and Computational Mathematics Minor Computer ScienceSan Jose State University- 2022-2025