AI Project Manager | IT Engineer | Building AI-powered planning, forecasting, and decision-support solutions

I work at the intersection of AI project management, project planning, and technical delivery. My background combines IT engineering, hands-on product development, machine learning experimentation, and workflow design to build practical, stakeholder-facing AI solutions.

My focus is on turning uncertainty into clearer decisions through AI-powered planning, probabilistic forecasting, and intelligent workflow systems.

• 💼 LinkedIn: https://www.linkedin.com/in/meysamehshojaei/
• 🌐 Live Product (certAIn): https://certain-project.com
• 💻 Source Code (certAIn): https://github.com/meysamesh/certAIn-ai-powered-project-planning-risk-forecasting-app
• ✍️ Project Write-ups (Substack): https://meysamesh.substack.com/

I am transitioning into AI Project Management with hands-on experience across:

• AI-powered solution design
• project planning and risk forecasting
• machine learning and model comparison
• data analysis and insight generation
• LLM-enabled workflow design
• prototype and MVP development
• GitHub-based collaboration and delivery

Across my bootcamp and project work, I have built solutions that connect business problem framing, technical implementation, data workflows, and presentation-ready delivery.

• AI Project Management — AI-enabled planning, workflow design, roadmap thinking, and decision-support solutions
• Project Management & Forecasting — dependency-aware planning, schedule confidence, scenario analysis, risk visibility
• Applied AI & Data — LLM workflows, model experimentation, EDA, probabilistic forecasting, business-facing insights

certAIn is my capstone project and the strongest example of how I combine AI, project thinking, data workflows, and project-management logic into one end-to-end platform.

It helps move project planning from static timelines toward AI-assisted, dependency-aware, probabilistic forecasting.

• converts natural-language project briefs into structured project plans
• validates outputs with schema-based logic
• models dependencies as a DAG
• calculates critical paths
• runs Monte Carlo simulation for delivery forecasting
• provides P50, P80, delay probability, and risk-driver insights
• supports scenario comparison through a stakeholder-facing Streamlit interface

Python, Streamlit, SQLite, Pydantic, NetworkX, Pandas, NumPy, Plotly, LangChain, ChatGroq, Docker, GitHub Actions

• Live Demo: https://certain-project.com
• LinkedIn: https://www.linkedin.com/in/meysamehshojaei/
• Project Write-ups (Substack): https://meysamesh.substack.com/

Machine learning project focused on customer transaction prediction using structured data, feature analysis, model evaluation, and business-oriented interpretation.

Data exploration project centered on cleaning, visualization, pattern detection, and extracting decision-relevant insights from structured datasets.

Deep learning project exploring ANN-based regression and classification workflows with TensorFlow/Keras.

Project exploring agent-style problem decomposition, AI-assisted reasoning workflows, and lightweight orchestration patterns.

• business problem framing and AI feature ideation
• exploratory data analysis and dataset audits
• ML model comparison and evaluation
• confusion-matrix analysis and class-imbalance awareness
• probabilistic forecasting and planning logic
• Streamlit solution development and workflow design
• GitHub collaboration, CI/CD awareness, and Docker-based setup
• end-to-end presentations from concept to implementation

Languages & Tools
Python, SQL, Markdown, Git, GitHub

Data & ML
Pandas, NumPy, scikit-learn, TensorFlow/Keras, model evaluation, EDA, classification workflows

AI / Workflow Systems
Streamlit, SQLite, Plotly, NetworkX, Pydantic, Monte Carlo simulation, DAG modeling, LangChain, ChatGroq

Delivery & Engineering
GitHub Actions, Docker, environment configuration, documentation, repo structuring, demo-readiness practices

Before focusing on AI project work, I built experience as an IT Engineer, strengthening my ability to work with technical systems, troubleshooting, structured problem solving, cross-functional support, and practical execution under pressure.

That background continues to shape how I approach AI solution delivery: grounded, structured, hands-on, and outcome-oriented.

I am currently focused on:

• growing into high-impact AI Project Management roles
• building more production-ready AI-enabled solutions
• strengthening portfolio work that combines project management, AI, and technical execution
• developing intelligent planning and decision-support systems

I am especially interested in opportunities related to:

• AI Project Management
• Technical Project Management
• intelligent workflow systems
• project planning and forecasting tools
• LLM-enabled enterprise solutions
• data-driven decision support
• AI features that improve real operational workflows