Specializing in Reinforcement Learning, Computer Vision, and Advanced MLOps.
I am currently a Master's student in Computer Science (AI) at the University of Southern California (USC) , with a background from Sharif University of Technology.
My focus lies at the intersection of Reinforcement Learning, Robotics, and Large Scale MLOps. [cite_start]I have experience building autonomous agents for imperfect-information games and deploying scalable ML pipelines on the cloud.
- 🔭 Current Research: Adversarial Co-Evolution of RL and VLM/LLM Agents.
- 🌱 Learning: Advanced MLOps, ROC, and Control Theory.
- 👯 Looking to collaborate on: Robotics simulation and Medical Imaging.
- 💬 Ask me about: Deep Reinforcement Learning (PPO), Computer Vision, and MLOps pipelines.
Languages
AI & ML Frameworks
Data Science
MLOps & Cloud
Databases & Systems
| Project | Description | Tech Stack |
|---|---|---|
| Adversarial Co-Evolution | Engineered a multi-process PPO training pipeline for Gin Rummy agents, using LLMs for knowledge distillation. Achieved 99.12% win rate vs baseline. | PyTorch SB3 PettingZoo LLMs |
| Hybrid Anime Recommender | Built a recommendation system processing 80M+ interactions with an automated MLOps pipeline on Google Cloud. | TensorFlow Docker K8s Jenkins |
| Multi-Modal Sentiment Analysis | Deployed classification models across text and vision modalities attaining 64.5% accuracy on real-world mood prediction data. | NLP LSTM ViT Pandas |