Software Engineer
& Data Enthusiast
Passionate about building innovative software solutions and exploring the intersection of data science, engineering, and quantitative finance through personal projects and continuous learning.
Career Path
My expertise spans three interconnected domains that power modern data-driven organizations. Each path builds upon the others to create comprehensive solutions for complex business challenges.
Data Science
Building intelligent systems that extract insights from complex datasets using machine learning, statistical modeling, and advanced analytics.
Core Skills
Focus Areas
- Credit Risk Modeling
- Time Series Forecasting
- Alternative Data Analytics
- Predictive Modeling
Data Engineering
Designing and building robust, scalable data infrastructure that powers analytics and machine learning at enterprise scale.
Core Skills
Focus Areas
- Real-time Data Processing
- Market Data Infrastructure
- MLOps Pipelines
- Data Quality & Monitoring
Quantitative Finance
Developing systematic trading strategies and risk management systems using mathematical models and computational finance techniques.
Core Skills
Focus Areas
- Systematic Trading
- Options Pricing
- Portfolio Optimization
- Alternative Alpha Generation
Skills & Expertise
Software engineer with hands-on experience in web development and data analytics. Continuously expanding expertise in data science, engineering, and quantitative finance through innovative projects.
Data Science
Data Engineering
Quantitative Finance
Programming
Databases
Cloud & MLOps
Featured Projects
A comprehensive portfolio spanning data science, data engineering, and quantitative finance. Each project demonstrates real-world applications and technical depth across these domains.
Advanced portfolio optimization system combining modern portfolio theory with machine learning. Implements mean-variance optimization, risk parity, Black-Litterman, and factor models with comprehensive backtesting.
Professional Experience
Professional experience in software development and educational technology, with a focus on building robust applications and data-driven solutions.
Software Engineer Intern
Ministry of Education (ICT Department)
Mar 2025 - Aug 2025
- Developed and maintained web applications for educational management systems using modern frameworks
- Built automated reporting workflows reducing manual effort by 70% using Python and SQL
- Designed and implemented RESTful APIs for student information systems serving 10,000+ users
- Created interactive dashboards for education metrics and analytics using modern visualization tools
- Collaborated with cross-functional teams to deliver software solutions within tight deadlines
- Implemented data quality monitoring and validation systems for critical educational datasets
Latest Insights
Sharing knowledge about data engineering, quantitative finance, and technology trends.
Building Real-Time Trading Systems
8 min readArchitecture patterns and lessons learned from building low-latency trading systems that process millions of market events per second.
Machine Learning in Quantitative Finance
12 min readPractical applications of ML in finance: from alpha generation to risk management, with real-world implementation strategies.
Data Engineering Best Practices for Finance
10 min readEssential patterns for building robust data infrastructure in financial services: monitoring, testing, and scaling strategies.
Modern Portfolio Optimization Algorithms
15 min readDeep dive into portfolio construction techniques: from Markowitz to machine learning-based approaches with Python implementations.
Let's Build Something Together
Whether it's a data engineering challenge, quantitative research project, or just a conversation about technology and markets.
Quick Connect
Current Focus
- • Learning advanced data engineering patterns
- • Building ML and quantitative finance projects
- • Exploring cloud-native architectures
- • Contributing to open source projects