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.

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

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