Professional Experience

Data Scientist

Amazon Web Services (AWS)

Leveraging machine learning and data analytics to derive actionable insights from large datasets at AWS. Developing predictive models and data-driven solutions to improve cloud services.

Senior Machine Learning Engineer

Capital One, McLean, VA

• 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

• 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

• 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

• 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

• 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.