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Nikelroid/README.md

Hi 👋, I'm Nima Kelidari

MS in Computer Science (AI) @ USC Viterbi

Large Language Models · Multimodal Learning · Robot Learning


🎓 About Me

  • 🔭 MS in Computer Science (AI) at USC Viterbi, finishing Dec 2026 (GPA 3.55)
  • 🎓 BS in Computer Science from Sharif University of Technology (Aryamehr University of Technology)
  • 🧪 Running three concurrent research projects with USC NLP, USC SAIL, and Yan Liu's lab
  • 💼 Open to summer research and PhD positions for Fall 2027
  • 📍 Los Angeles, CA

🔬 Current Research

With Profs. Robin Jia & Xuezhe Ma · USC NLP

A 50K-parameter learned head replacing SteerMoE's hand-engineered statistic for routing intervention on OLMoE-1B-7B. Beats SteerMoE (ICML 2026) by +0.101 mean across six faithfulness benchmarks, with +0.288 on FaithEval-Inconsistent. Manuscript in preparation.

With Prof. Yan Liu · USC

Distributed multi-core PPO pipeline with a 3-phase curriculum reaching 99.12% win rate on Gin Rummy. Master-Worker inference engine distilling Llama-3 / Gemma / GPT-OSS strategic knowledge into compact RL policies.

With Prof. Mohammad Soleymani · USC SAIL

MLOps probing framework in PyTorch + HuggingFace over six pretrained speech encoders × eight datasets via SLURM, with a FastAPI / JS dashboard for real-time layer-wise paralinguistic analysis.


🛠️ Tech Stack

Languages

Python Java C++ SQL R

ML / Deep Learning

PyTorch TensorFlow HuggingFace scikit-learn Keras OpenCV NumPy Pandas

MLOps & Infrastructure

Docker Kubernetes Jenkins MLflow Weights & Biases FastAPI SLURM

Databases & Cloud

MySQL PostgreSQL MongoDB Redis Google Cloud AWS

Robotics

ROS Kinematics Motion%20Planning


📊 GitHub Stats

Nima's GitHub Stats Top Languages


📫 Get in Touch

🌐 Website: kelidari.com  ·  📧 Email: kelidari@usc.edu  ·  💼 LinkedIn: nima-kelidari


Thanks for visiting! ⭐

Pinned Loading

  1. adversarial-coevolution adversarial-coevolution Public

    Adversarial Co-Evolution of RL and LLM Agents: A framework for training high-performance PPO agents against Large Language Models in Gin Rummy, utilizing curriculum learning and knowledge distillat…

    Python 2

  2. multimodal-sentiment-classification multimodal-sentiment-classification Public

    A multimodal deep learning framework that fuses visual features from EfficientNet and textual features from BERT to classify sentiment in image-text conversations using the MSCTD dataset.

    Jupyter Notebook 9 2

  3. anime-recommender-application anime-recommender-application Public

    An end-to-end MLOps project implementing a deep learning-based anime recommendation system with automated CI/CD deployment to Google Kubernetes Engine.

    Python

  4. image-compression-svd-fft image-compression-svd-fft Public

    A Python implementation of lossy image compression and reconstruction utilizing Singular Value Decomposition (SVD) and Fast Fourier Transform (FFT) techniques for optimal storage efficiency.

    Jupyter Notebook 3

  5. artist-explorer-app artist-explorer-app Public

    A comprehensive full-stack web and Android application for exploring artists and artworks using the Artsy API, featuring JWT authentication, MongoDB favorites, and an experimental AI assistant.

    HTML

  6. mysql-metadata-manager mysql-metadata-manager Public

    A Python-based GUI application using Tkinter and MySQL to reverse-engineer, manage, and export database schema metadata.

    Jupyter Notebook 3