Mohamad Mehdi
Bothell,WA
Summary
Experienced Applied Scientist with with over ten years in machine learning and AI solutions development. Leading the development of generative AI solutions to enhance security frameworks and application analysis. Proven track record of architecting and implementing sophisticated AI systems, including multi-agent frameworks, recommendation engines, and advanced NLP/NLU pipelines. Combine deep technical expertise with strategic leadership to transform complex challenges into innovative, AI-driven solutions.
Overview
13
13
years of professional experience
Work History
Senior Applied Scientist
AWS, Amazon Web Services
Seattle, WA
03.2024 - Current
- Pioneered an agentic security framework based on a multi-agent AI system that brings security reviews to the design phase and reduces their time by 95% (planned to launch at AWS re:Invent 2025).
- Orchestrated integration of the GenAI security pipelines into the enterprise development workflow, enabling real-time security assessment for development teams.
- Led a cross-functional collaboration across product, security, and science teams to deliver a production-ready solution within three months.
- Secured executive buy-in for AI initiatives through strategic reviews.
- Developed a novel approach for AI-driven design artifact analysis, resulting in 2 patents, 1 paper submission, and 1 in progress, along with adoption by 3 internal teams.
Senior Applied Scientist
Amazon
Bellevue, WA
12.2022 - 03.2024
- Enhanced Alexa's recommendation system for proactive experiences using contextual multi-armed bandits, boosting business KPIs by 11%.
- Collaborated with ML engineers to design a machine learning platform and data pipeline infrastructure to improve model development cycles.
- Spearheaded the team's science strategy for model training and inference solutions, implementing an incremental model development process.
- Coached scientists on projects and career development across multiple teams.
Applied Scientist
Amazon
Bellevue, WA
09.2018 - 12.2022
- Introduced a novel person recognition signal utilizing Bayesian Inference methods to analyze historical engagement.
- Designed a fusion model integrating voice, presence, and visual recognition signals, enhancing speaker attribution rate by three percent.
- Collaborated with product teams to develop over 20 features using Natural Language Understanding (NLU) techniques, expanding semantic coverage for Alexa.
Senior Data Scientist
QuanticMind
Saint Mateo, CA
01.2017 - 09.2018
- Constructed and launched two bid adjustment models for device and audience, enhancing ad campaign revenues.
- Deployed multiple prediction models assessing revenue per click of long-tail keywords, increasing customer retention by 12%.
- Engineered an anomaly detection tool identifying suspicious data through time series analysis and Bayesian change point detection techniques.
Data Scientist
MindGeek
Montreal
03.2015 - 12.2016
- Launched multiple click-through rate (CTR) prediction models, increasing ad revenue by 5%.
- Developed a video recommendation system utilizing collaborative filtering algorithms, boosting CTR of recommended videos by 12%.
- Designed A/B tests to assess effects of algorithmic and layout variations on user engagement metrics.
- Implemented keyword similarity API using NLP models, enhancing CTR of rare keyword queries by 7%.
Software Engineer
Sherbrooke University
Montreal
09.2012 - 03.2015
- Developed and trained sentiment analysis model utilizing Twitter streams, enhancing event detection accuracy by four percent.
- Pioneered platform to support cyber investigation management for two-year research grant.
- Utilized NLP and data mining techniques to improve insights from social media data.
Education
Ph.D. - Computer Science
Concordia University
Montreal, QC03-2015
Skills
- Agentic-based application development
- Machine learning algorithms
- Natural language processing
- Deep learning
- Python programming
- TensorFlow
- Pytorch
- AI security frameworks
- Cross-functional collaboration
- Team leadership
- Effective communication
Accomplishments
- GenAI Hackathon Winner - 2024: Built a solution that uses LLMs to parse whiteboard drawings, particularly system designs, and generate a threat model for the designed system.
- Inventor Award Winner - 2021: Designed and implemented a system that enhances Alexa's speaker attribution using a hybrid solution that includes Bayesian inference techniques.
- Outstanding Mentor Award Winner - 2021: Part of the Science Mentorship Program at Amazon.
- Quarterly Award Winner-Q4 2020: Organization-level quarterly award
Timeline
Senior Applied Scientist
AWS, Amazon Web Services
03.2024 - Current
Senior Applied Scientist
Amazon
12.2022 - 03.2024
Applied Scientist
Amazon
09.2018 - 12.2022
Senior Data Scientist
QuanticMind
01.2017 - 09.2018
Data Scientist
MindGeek
03.2015 - 12.2016
Software Engineer
Sherbrooke University
09.2012 - 03.2015
Ph.D. - Computer Science
Concordia University
Similar Profiles
Ayush ChhetriAyush Chhetri
Account Access Management(AAM Security) at AWS, Amazon Web ServicesAccount Access Management(AAM Security) at AWS, Amazon Web Services
YU HUYU HU
Data Center Operations Technician at AWS, Amazon Web ServicesData Center Operations Technician at AWS, Amazon Web Services
Walter SchwytzerWalter Schwytzer
Data Center Operations Technician at AWS, Amazon Web ServicesData Center Operations Technician at AWS, Amazon Web Services
Jennifer HallmanJennifer Hallman
Registered Behavior Technician at Avery Behavior Consulting Inc.Registered Behavior Technician at Avery Behavior Consulting Inc.
Jessica Jenkins (Sandstrom)Jessica Jenkins (Sandstrom)
Montessori Preschool Principal at Evergreen Academy MontessoriMontessori Preschool Principal at Evergreen Academy Montessori