Lead Machine Learning Engineer (July 2023 - Present)
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.
Principal Machine Learning Engineer (November 2021 - July 2023)
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.
Hughes Network Systems, Germantown, MD
Machine Learning Researcher - Member of Technical Staff (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.
Carvana, Tempe, AZ
Data Scientist (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.
Virginia Tech, Blacksburg, VA
Researcher (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.
Sarveen Tech, Tehran, Iran
Signal Processing and Software Development Engineer (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.