cv
Skills
| Programming | Python, C++, JavaScript, Dart |
| ML & LLMs | PyTorch (CUDA), Hugging Face (Transformers, Datasets), TensorFlow, scikit-learn, Activation Steering, TransformerLens, data curation & evaluation |
| Systems & Backend | Node.js/Express, MongoDB, REST APIs, Docker/Podman, CI/CD, Git, Linux |
| Mobile & BLE | Flutter/Dart, flutter_blue_plus, background services & notifications, on-device pipelines |
| Cloud/Compute | Cloud GPUs, batch pipelines |
Projects
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2025–Present LLM Activation Steering with Guardrailed Evaluation
- Controlled verbosity and tone in Llama 3.1 and Qwen-2.5 via residual-stream injections (layer/α sweeps).
- Built judge-driven evaluation with JSON-schema checks; reduced hallucinations and stabilized behavior.
-
2025 dKS — Efficient Multidimensional Two-Sample Testing
- Near-linear 2D algorithm (O(n log n)); ε-accurate, unit-invariant IPM; stability gains vs. mdKS.
- Paper: Efficient and Stable Multidimensional Kolmogorov–Smirnov Distance (SIMODS submission; arXiv: 2504.11299).
-
2024–Present MotionPI — Privacy-First Wearable Sensing (Full-Stack)
- Flutter + BLE wristbands → Node.js/Express + MongoDB; background pipelines and secure ingestion.
- Deploy in Huntsman Cancer Institude.
- Interactive visualization for activity-trigger thresholds.
- Paper: Designing a Secure Distributed Participant Data Collection System — EAI SmartSP 2025 (accepted).
-
2023 Region-Aggregated Spatial Scan Statistics
- Replaced centroid scans with multi-point region sampling; increased detection power; C++ experiments.
- Under review - double blind.
Education
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2023 – Expected 2027 Ph.D. in Computer Science
University of Utah, Salt Lake City, UT, USA - Advisor: Prof. Jeff Phillips.
- Focus: LLM interpretability; geometric data analysis; spatial statistics.
- Relevant coursework
- Machine Learning
- Probabilistic Machine Learning
- Deep Learning
- Data Mining
-
2019–2022 M.Sc. in Computer Science (Algorithms & Computation)
University of Tehran, Tehran, Iran - GPA: 17.8/20
- Thesis: Graph-theoretic modeling of 2020 Australian bushfire propagation.
- Relevant coursework
- Advanced Algorithms
- Approximation Algorithms
- Randomized Algorithms
- Quantum Algorithms & Computation
- Graph & Network Algorithms
- Internet Algorithms
- Distributed Systems
Honors and Awards
-
2023 Graduate Fellowship
University of Utah, Salt Lake City, Utah, United States -
2020–2022 Top-Talent Scholarship (merit)
University of Tehran
Contact
| foad.namjoo@utah.edu | |
| GitHub | https://github.com/foadnamjoo |
| https://www.linkedin.com/in/foadnamjoo | |
| Languages | English, Hawrami, Kurdi, Persian |