I'm a Software Developer, Mathematician, and Data Science enthusiast passionate about solving complex problems with code, statistics, and mathematical reasoning.
My background in mathematics allows me to approach software engineering from an analytical perspective, combining algorithms, machine learning, and data-driven decision-making to build scalable and intelligent systems.
I enjoy working at the intersection of:
- π§ Artificial Intelligence & Machine Learning
- π Data Science & Statistical Modeling
- π Python & Scientific Computing
- ποΈ SQL & Database Optimization
- π Data Visualization & Analytics
- π Full-Stack Web Development
- Python (NumPy, Pandas, Scikit-learn, SciPy)
- R Programming
- SQL (PostgreSQL, MySQL, MongoDB)
- Statistical Analysis & Probability
- Data Cleaning & Feature Engineering
- Data Visualization (Matplotlib, Seaborn, Plotly)
- Exploratory Data Analysis (EDA)
- Machine Learning & Predictive Modeling
- Mathematical Modeling
- Optimization Algorithms
- Discrete Mathematics & Number Theory
- Probability & Statistics
- AI Evaluation & Benchmarking
- Large Language Model Reasoning
- Computational Mathematics
- Algorithm Design
- Python
- C++
- JavaScript & TypeScript
- Node.js
- React
- Next.js
- Vue 3 & Nuxt.js
- Django & Express.js
- PostgreSQL
- MongoDB
- SQL Optimization
- ETL Pipelines
- Data Warehousing
- API Design & Integration
- Git & GitHub
- Docker
- Postman
- Jupyter Notebook
- Figma
- Jira
- Notion
- Agile & Scrum
π Bachelor's Degree in Mathematics
π Associate Degree in Computer Programming
- Building AI-powered systems
- Designing mathematical benchmarks for large language models
- Developing data-driven applications with Python and SQL
- Exploring machine learning and predictive analytics
- Creating scalable data pipelines and optimization algorithms
π§ AI Mathematical Reasoning Benchmark
Evaluating large language models on advanced mathematical reasoning tasks, proof generation, and logical consistency.
π Predictive Analytics Dashboard
Building end-to-end analytical systems using Python, SQL, and statistical modeling.
β‘ Data Pipeline & Optimization
Designing efficient ETL workflows and optimizing database performance.
"Mathematics teaches us how to think. Programming teaches us how to build. Data teaches us how to understand the world." β‘