Christopher Mobley Email & Phone Number
@vt.edu
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Who is Christopher Mobley? Overview
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Christopher Mobley is listed as AI and ML Engineer at Google, a company with 315106 employees, based in Vienna, Virginia, United States. AeroLeads shows a work email signal at vt.edu and a matched LinkedIn profile for Christopher Mobley.
Christopher Mobley previously worked as AI/ML Engineer at Google and Senior Machine Learning Engineer at Capital One. Christopher Mobley holds Master’S Degree, Mechanical Engineering, Robotics from Virginia Tech.
Email format at Google
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AeroLeads found 1 current-domain work email signal for Christopher Mobley. Compare company email patterns before reaching out.
About Christopher Mobley
Christopher Mobley is a AI and ML Engineer at Google. He possess expertise in active dod secret clearance, data analysis, python, r, visual basic for applications and 27 more skills.
Listed skills include Active Dod Secret Clearance, Data Analysis, Python, R, and 28 others.
Christopher Mobley's current company
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Christopher Mobley work experience
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Ai/Ml Engineer
Current
Senior Machine Learning Engineer
Founding Machine Learning Engineer
- Led Sagely's ML pipeline development, enabling semantic search, recommender systems, and chatbots. Implemented pipelines on AWS utilizing Metaflow. Utilized Zyte for robust metadata retrieval and LangChain with.
- Established Sagely's ML team, integrating advanced tools for initial workflows and capabilities. Led and fostered collaborative development of innovative ML projects across business domains.
Task Leader – Broad Arrow
- Directed a team of 5, developing and implementing a rule-based classifier, which automated the security classification and marking of various document types, contributing to enhanced data security protocols.
- Conducted comprehensive research on embedding quality, leveraging hyperparameter sweep and exploring different techniques across multiple LMs, establishing optimal clustering pipeline, and enabling integration of.
Co-Platform Lead - Ai
- Orchestrated the design and deployment of a secure, AI-optimized $3.5M private cloud, utilizing OpenStack, Kubernetes, and Nvidia A100s, enhancing GPU compute across MITRE.
- Assembled and managed specialized AI team of 5-7 engineers, delivering “as-a-service” compute, storage, and security capabilities, expediting MITRE's AI adoption, and mitigating counter-AI vulnerabilities across $900M.
- Executed a rigorous evaluation and integration of workflow orchestration tools, enhancing MLOps workflows and augmenting the AI Platform's efficiency and technical capabilities.
- Guided AI platform adoption among high-profile organizations within MITRE, optimizing client outcomes through effective technical solutions and maximizing the utilization of the platform's state-of-the-art capabilities.
Task Leader – Mitre’S Cross Dod/Ic Ai Red Team
- Led a dedicated team of approximately 10 professionals, steering the development and delivery of tools to assess adversarial ML attacks on US Government object detection models. Innovated a novel watermarking approach.
- Engineered and maintained a comprehensive suite of tools that automated the training, evaluation, and inference across hundreds of SOTA object detection models, empowering MITRE teams, including those with limited.
- Integrated hyperparameter tuning into tooling, enabling the strategic setting of intelligent defaults and facilitating the fine-tuning of adversarial attacks on diverse models and data, enhancing the adaptability and.
- Successfully transitioned red team's tooling to US Government infrastructure, ensuring secure analysis, reporting, and performance evaluation on sensitive data and models, thereby aligning with stringent government.
Task Leader – Aviation Safety Information Analysis And Sharing (Asias)
- Architected and deployed ML tools for automated training, evaluation, and inference of transformer-based Named Entity Recognition models, enhancing deidentification of sensitive safety report data and enabling model.
- Invented a deep learning anomaly detection tool, employing hyperparameter tuning, SOTA transformer model embeddings, and an autoencoder, which identified 92% of anomalous safety issues and revealed 2 systemic issues.
- Crafted NLP tools automating fine-tuning of numerous SOTA Transformer-Based Language Models and enabling the training, evaluation, and inferencing of text classifiers, achieving an average of 10.24 F1 improvement.
- Collaboratively developed and deployed both traditional and deep learning-based predictive ML models, accurately forecasting unstable approaches 24 hours in advance through meticulous data processing and cleansing via.
Computer Vision Lead – Dewey
- Engineered and implemented a robust, scalable image retrieval and automated tagging method, utilizing CNN feature vectors and employing dimensionality reduction, alongside an Approximate Nearest Neighbor search.
- Strategically established a mirrored US Government system infrastructure using OpenStack Object Store and MongoDB, facilitating accelerated internal development by ensuring compatibility and seamless integration with.
Big Data Lead – Aviation Domain Specific Analyses
- Spearheaded the standardization of Metroplex Post Implementation Analysis employing PySpark/TDP, drastically curtailing data processing times from days to hours, while elevating data accuracy and ensuring.
- Executed comprehensive data analyses utilizing PySpark, skillfully managing diverse data types and storage mechanisms, and adeptly presenting insights and results through Jupyter and PowerPoint, catering to various.
Co-Founder
- Collaboratively developed the company's strategic roadmap and business plan, providing technical direction and overseeing contract negotiations with industry leaders like General Atomic.
- Established a secure network infrastructure, incorporating end-to-end encrypted communication and collaboration tools to facilitate secure and efficient business operations.
Graduate Research Assistant
Multistage Localization for High Precision Mobile Manipulation Taskso Developed a novel localization approach capable of achieving sub-millimeter accuracy without having to recalibrate the position of the robot's end-effector each time the robot's mobile base moveso Implemented multistage localization approach for high precision drilling and sealant.
Graduate Student
Relevant Data Science CourseworkIntermediate Data Analytics & ML and Intro to Data Science (R and Python)o Compared different regression models (linear, dim. reduction, bagged/boosted trees, random forest, and Bayesian) performance in predicting subway ridershipo Acquired and cleaned both weather and subway ridership data, ~10 MB datasetComputer Vision.
Engineering Intern
Fluid Systems and Ventilation Engineering (10-week internship)o Worked on design and maintenance of the chill and potable water systems, as well as the HVAC systems on aircraft carriers
Regimental Information Systems Officer
Automated Leave Tracking Systemo Designed and created a Regimental leave tracking system for 1000+ cadets using Google Forms and Sheetso Created a fillable PDF leave request forms to replace 60+-year-old paper copieso Began the development of an Access database to track and approve the created PFD requestsRegimental Survey Feedbacko Cleaned Regimental.
Team Facilitator
ME 4015, Engineering Design and Project | SWAT Boto Led team of 10 to design and build a surveillance robot for Virginia Tech’s ERTME 2024, Engineering Design and Economics | AeroChargeo Led team of 3 to design a hitch assembly for recharging a stationary electric vehicle
Resident Advisor And Vtcc Company Commander
Responsible for the safety, well-being, and development of Echo Company, approximately 85 undergraduate cadets.
Engineering Intern
Test Engineering (10-week internship)o Created an Access database to assign, email, and track procedure updateso Exposed to the holistic nature of engineering: budgeting, scoping, training and the testing of systems on nuclear submarines and aircraft carriers
Guest Peer Mentor
Guided 6 General Engineering Freshmen through their first semester at Virginia Tech
Sales Associate/Cashier
Responsible for making sure that the customer was taken care of in a timely and professional fashion, cleaning the shop, and counting the registers till fund.
Lead Supervisor
Supervised 10 employees and managed a specialty bakery in the park.Oversaw revenue and labor utilization, as well as, placed orders; performed scheduling, monitored food quality, and ensured customer satisfaction.
Cashier/Ufh
Responsible for making sure that the customer was taken care of in a timely and professional fashion, cleaning the shop, and counting the registers till fund.
Sales Associate/Cashier
Responsible for making sure that the customer was taken care of in a timely and professional fashion, cleaning the shop, and counting the registers till fund.
Christopher Mobley education
Master’S Degree, Mechanical Engineering, Robotics
Bachelor Of Science (B.S.), Mechanical Engineering, Minor In Leadership Studies
Frequently asked questions about Christopher Mobley
Quick answers generated from the profile data available on this page.
What company does Christopher Mobley work for?
Christopher Mobley works for Google.
What is Christopher Mobley's role at Google?
Christopher Mobley is listed as AI and ML Engineer at Google.
What is Christopher Mobley's email address?
AeroLeads has found 1 work email signal at @vt.edu for Christopher Mobley at Google.
Where is Christopher Mobley based?
Christopher Mobley is based in Vienna, Virginia, United States while working with Google.
What companies has Christopher Mobley worked for?
Christopher Mobley has worked for Google, Capital One, Sagely, Mitre, and Corvus Labs, Llc.
How can I contact Christopher Mobley?
You can use AeroLeads to view verified contact signals for Christopher Mobley at Google, including work email, phone, and LinkedIn data when available.
What schools did Christopher Mobley attend?
Christopher Mobley holds Master’S Degree, Mechanical Engineering, Robotics from Virginia Tech.
What skills is Christopher Mobley known for?
Christopher Mobley is listed with skills including Active Dod Secret Clearance, Data Analysis, Python, R, Visual Basic For Applications, Matlab, Access, and Git.
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