Professional Experience
Data Scientist
Amazon Web Services (AWS)
January 2025 - Present- Agentic AI Product Leadership: Leading the development and production deployment of multiple agentic AI products including threat modeling systems, correction of errors analysis platforms, and security review solutions.
- Threat Modeling with Agentic AI: Spearheading comprehensive threat modeling and security assessment using advanced agentic AI systems.
- Correction of Errors Analysis: Implementing AI-powered error correction analysis systems as part of the agentic AI product portfolio.
- Security Reviews Platform: Developing and deploying AI-driven security review platforms leveraging agentic AI capabilities.
- Machine Learning & Data Analytics: Leveraging machine learning and data analytics to derive actionable insights from large datasets at AWS.
Machine Learning
Python
Data Analytics
Cloud Computing
AWS Services
AI Security
Threat Modeling
Senior Machine Learning Engineer
Capital One, McLean, VA
November 2021 - January 2025- Guardrails for LLMs: Designed and implemented safety measures and guardrails for large language models, ensuring robust and secure AI interactions.
- Search Functionality in EASE Mobile App: Enhanced user experience by improving search efficiency and effectiveness in the help page.
- Transformer-based Autocomplete Feature: Improved user interaction and search functionality within the EASE mobile application.
- Dialog Manager for Chatbot Eno: Led the design and deployment of a new dialog manager using Rasa and transformer models to handle multi-turn conversations, significantly improving performance metrics.
- Conversation Grading Model: Developed a transformer-based model to establish a robust performance metric for evaluating conversational AI systems at Capital One.
Machine Learning Researcher - Member of Technical Staff
Hughes Network Systems, Germantown, MD
July 2020 - October 2021- Predictive Modeling: Implemented a CNN architecture using Keras and TensorFlow to forecast rain fades of satellite signals using GOES-16 images, achieving a 90% F1-score.
- Dynamic Inroute Association: Developed a reinforcement learning algorithm to dynamically allocate inroute links to terminals in a satellite network, maximizing system throughput.
- Dynamic Resource Allocation: Created an LSTM model to predict future traffic characteristics of a satellite communications network.
Data Scientist
Carvana, Tempe, AZ
May 2019 - August 2019- Deep Learning: Implemented a neural network architecture using Keras that improved the win-rate predictor accuracy at Carvana by 15%. The predictor estimates Carvana's probability of winning a vehicle at auction based on bid price and other factors.
- Data Visualization: Created a Tableau dashboard for data reporting, enabling effective comparison of 2018 and 2019 vehicle auction sales.
Researcher
Virginia Tech, Blacksburg, VA
December 2016 - July 2020- Vehicle Network Optimization: Developed an optimized control and learning system to improve traffic flow and reduce accident risk in autonomous vehicle networks.
- Cyber-Physical Security: Enhanced the security of autonomous connected vehicle networks against cyber and physical attacks.
- IoT Signal Authentication: Designed a dynamic IoT signal authentication algorithm using Long Short-Term Memory (LSTM) models.
- Distributed Data Generation: Developed a Generative Adversarial Network (GAN) framework for distributed and privacy-preserving data generation.
- UAV Wireless Connectivity: Explored machine learning techniques for enhancing wireless connectivity for UAVs.
- UAV Security: Worked on security measures for cellular-connected UAVs.
Signal Processing and Software Development Engineer
Sarveen Tech, Tehran, Iran
June 2014 - May 2016- Android Application: Designed, developed, and implemented an Android application in Java for real-time audio signal processing.
- iOS Application: Developed the back-end process for a multimedia iOS application in C.