• 🌌 I am Hasan, a data professional working in Istanbul/Turkey with 3 years of work experience with 4 more personally.
• 🌱 I put my soul into my work (as long as I am given enough time to show my art)

• Building and optimizing LangChain pipelines for structured and unstructured data tasks
• Using LangGraph to orchestrate multi-step agent workflows with custom toolchains
• Exploring agentic protocol design patterns for more robust and interoperable multi-agent systems

• Learn foundations of Operational Research and Optimization Techniques and create repositories for each
• Prepare Time Series and create repositories for each

• LangGraph in TypeScript
  Traning examples and my TypeScript versions of the code for iamvaibhavmehra LangGraph-Course-freeCodeCamp

• Model Context Protocol (MCP)
  A site-logging bot built with MCP in TypeScript

• Agent Communication Protocol (ACP)
  ACP Quickstart Demo in Python

• Agent-to-Agent Protocol (A2A)
  A2A Quickstart Demo in TypeScript

• Linear Regression
  Linear Regression model predicting body measurements and assumptions in Python

• KNN Classification
  Iris Setosa classification with KNN in R

• Random Forest Classification
  Predicting term deposit subscriptions using Random Forest on the Portuguese Bank Marketing dataset in R.

• Bayesian Inference
  Concrete Compressive Strength using probabilistic inference in PYMC

• MLflow Project
  End to End MLflow, Prefect, Postgres Project with Medallion Architecture

• Customer Lifetime Value (CLV)
  Calculating customer lifetime value CLV

• Churn Modelling
  Building and evaluating customer churn prediction models.

• Rule-Based Classification
  Customer persona segmentation with a level-based approach.

• RFM Analysis
  RFM (Recency, Frequency, Monetary) analysis for customer segmentation.

• A Streamlit Machine Learning App
  Streamlit app visualizing level-based personas.

• Multi-Armed Bandit Problem
  A Comprehensive introduction to N-Armed Bandit Problem

• Minimax Algorithm with Alpha-Beta Pruning
  An explanation of Minimax Algorithm with Alpha-Beta Pruning

• Tic-Tac-Toe Game
  A tic-tac-toe game to explain Minimax Algorithm and Alpha-Beta Pruning

• Q-Learning Game
  A simple Checkers game with Reinforcement Learning. Records every move to Postgres for analysis

• Mamdani-Sugeno Inference
  An introduction to Fuzzy Logic with scikit-fuzzy
• C-Means Clustering
  Fuzzy Logic CLustering algorithm with scikit-fuzzy

• Real-time Processing Pipeline
  MSSQL Server, Kafka Connect, Debezium, Kafka, Flink and Postgres

• Batch Processing Pipeline
  Airflow 3, Spark, Iceberg, Hive Metastore as catalog, MinIO and Trino

• Linear Programming(LP)
  Pyomo LP that finds the money corner for two products under resource caps—simplex-solved

• Nonlinear Programming(NLP)
  Nonlinear hydropower reservoir optimization in Pyomo with comprehensive operational, geometric, 3D, dual, and sensitivity visualizations.

• Quadratic Programming (QP)
  Convex QP Tracking-Error Portfolio Optimization example in Pyomo

• Autoregressive Model
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• ARIMA Family Models

• Knapsack Problem
  Solves the Knapsack problem using a Genetic Algorithm built with PyGAD.

• N-Queens Problem
  Solves the N-Queens problem using a Genetic Algorithm built with PyGAD.

• Traveling Salesman Problem
  Solves the Traveling Salesman problem using a Genetic Algorithm built with PyGAD.

• Simulated Annealing
  Simple explanation of Simulated Annealing Algorithm

• Particle Swarm Optimization
  A Particle Swarm Optimization Algorithm, tested with optimization functions

These are the tools I’ve used to build scalable systems, design data platforms, and solve real-world problems — some in professional settings, some in school, others through trainings, tutorials, or personal projects.