Saeed Pooladchang

Data Scientist and Industrial AI Engineer specializing in Deep Reinforcement Learning and Operations Research. Proven track record of building AI agents that optimize supply chains and reduce operational costs, including a recent RL-driven inventory engine that generated a +10.2% profit increase. Adept at bridging the gap between industrial engineering principles and cutting-edge machine learning.

Freelance Data Scientist & AI Consultant at Self-Employed (2022-02 – Present)

Freelance Data Scientist & AI Consultant specializing in supply chain optimization and reinforcement learning applications

• Supply Chain AI (Real-World Application): Built a Double DQN agent to autonomously learn optimal ordering strategies for frozen goods under stochastic demand. Applied the model to a real-world restaurant database, achieving a +10.2% profit increase and a -15% waste reduction compared to traditional heuristics. Currently expanding the architecture to develop multiagent decision-making systems for other operational sectors of the restaurant.
• ML Lab Notes (Academic Freelance Project): Designed and deployed predictive models and machine learning pipelines for various academic projects. Engineered a comprehensive empirical study training 10 distinct neural network architectures to analyze the mathematical impact of weight initialization (e.g., He vs. Random), activation functions (ReLU vs. Sigmoid), feature scaling, and optimizers on vanishing gradients and model convergence.

Project Control Expert at Anbooh Gostar Nasr Yazd (2021-11 – 2022-01)

Project Control Expert applying critical path analysis and constraint-based scheduling for project optimization

• Applied critical path analysis and constraint-based scheduling (Microsoft Project) for project optimization.
• Managed inventory cost forecasting and delay analysis to justify project timelines legally and contractually.

Co-Founder & Operations Lead at Ketabgardi Startup (2020-10 – 2021-10)

Co-Founder & Operations Lead for a peer-to-peer platform startup

• Led the product strategy and operational planning for a peer-to-peer platform (secured 2nd place at National Startup Festival).
• Analyzed market constraints and logistics costs, ultimately making strategic pivot/halt decisions based on data.

MSc in Engineering Technology (Strategos) – Università degli Studi di Genova (2024-09)

BSc in Industrial Engineering – Yazd University (2017-09 – 2022-02)