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Tahernezhad/README.md

Farajollah (Fred) Tahernezhad-Javazm, PhD

AI/ML researcher with a strong engineering background in building end-to-end ML systems to solve real-world problems.

  • Core expertise: deep & reinforcement learning · graph neural networks · time-series analysis · multi/many-objective optimization · LLM engineering
  • Reach me: tahernezhad.jv@gmail.com

LinkedIn ORCID Email

Languages and tools

My Skills

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  1. Cartesian-Genetic-Programming-for-Truss-Optimization Cartesian-Genetic-Programming-for-Truss-Optimization Public

    Cartesian Genetic Programming for 2D truss topology optimization.

    Python

  2. UK-Regional-Insights UK-Regional-Insights Public

    A geospatial data analytics project analyzing 26 years of UK economic (GVA) and deprivation (IMD) data. Features an ETL pipeline, spatial statistics, and interactive visualizations.

    Jupyter Notebook

  3. Continuous-Control-Workbench Continuous-Control-Workbench Public

    A clean PyTorch implementation of PPO, SAC, and TD3 made from scratch. It is built for testing and comparing continuous control RL algorithms on complex environments such as BipedalWalker-v3.

    Python

  4. Databricks-Medallion-Anomaly-Detection Databricks-Medallion-Anomaly-Detection Public

    Databricks medallion data pipeline and ML anomaly detection for micromobility telemetry.

    Python

  5. Learning-to-Grow Learning-to-Grow Public

    A GNN controller learns to develop trusses via gradient descent through a differentiable equilibrium solver.

    Python

  6. Retention-Budget-Optimizer Retention-Budget-Optimizer Public

    Predicts customer churn and optimizes retention offers within a fixed budget, balancing expected revenue saved, campaign costs, and coverage of high-risk customers. Includes model evaluation, campa…

    Python