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

Machine LearningStatistical ModelingDeep LearningFeature EngineeringModel Deployment

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

ETL/ELT PipelinesApache KafkaApache AirflowData WarehousingCloud Architecture

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

Portfolio TheoryDerivatives PricingRisk ManagementAlgorithmic TradingBacktesting

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

Machine Learning
Deep Learning
Statistical Modeling
Time Series Analysis
Feature Engineering
Model Deployment

Data Engineering

Apache Kafka
Apache Airflow
Apache Spark
dbt
ETL/ELT
Data Warehousing

Quantitative Finance

Portfolio Theory
Risk Management
Derivatives Pricing
Algorithmic Trading
Backtesting
Factor Models

Programming

Python
SQL
JavaScript/TypeScript
Go
R
C++

Databases

PostgreSQL
Redis
MongoDB
InfluxDB
BigQuery
Snowflake

Cloud & MLOps

AWS
GCP
Docker
Kubernetes
MLflow
Kubeflow

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.

Quantitative Finance

Real-Time Trading Pipeline

High-performance algorithmic trading system processing 10M+ market events daily with sub-millisecond latency. Features advanced risk management, backtesting framework, and real-time P&L analytics.

Apache KafkaRedisPostgreSQLPythonTradingLow-latency
Quantitative Finance

ML Portfolio Optimization

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.

Machine LearningPortfolio TheoryPythonNumPyPandasOptimization
Quantitative Finance

Options Pricing & Greeks Calculator

Comprehensive derivatives pricing engine implementing Black-Scholes, Monte Carlo, and binomial tree models. Real-time Greeks calculation and volatility surface modeling for risk management.

OptionsBlack-ScholesMonte CarloGreeksVolatilityPython
Data Engineering

Cryptocurrency Analytics Platform

Scalable data platform processing 1TB+ daily crypto market data with automated feature engineering, anomaly detection, and predictive modeling using ensemble methods and deep learning.

ETLApache SparkDockerPostgreSQLFastAPIDeep Learning
Data Engineering

Airflow Data Pipelines

Production-ready Apache Airflow orchestration platform with 50+ DAGs for financial data processing, API ingestion, automated model retraining, and data quality monitoring.

Apache AirflowDockerPostgreSQLETLPythonMLOps
Data Engineering

Market Data Infrastructure

Cloud-native market data platform handling multiple vendors (Bloomberg, Refinitiv, IEX). Microservices architecture with data normalization, caching, and low-latency API access.

CloudMicroservicesMarket DataKubernetesGoRedis
Data Science

Credit Risk ML Models

End-to-end credit risk modeling pipeline using XGBoost, LightGBM, and neural networks. Features automated feature selection, model interpretability, and regulatory compliance reporting.

Credit RiskXGBoostSHAPModel InterpretabilityPythonScikit-learn
Data Science

Time Series Forecasting Suite

Comprehensive forecasting platform combining traditional econometric models (ARIMA, GARCH) with modern ML approaches (LSTM, Transformer). Automated model selection and ensemble methods.

Time SeriesLSTMARIMATransformersForecastingTensorFlow
Data Science

Alternative Data Analytics

Novel alpha generation using alternative datasets: satellite imagery, social sentiment, and economic indicators. NLP pipeline for news sentiment analysis and market impact prediction.

Alternative DataNLPSentiment AnalysisSatellite DataAlpha Generation

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.

Let's Build Something Together

Whether it's a data engineering challenge, quantitative research project, or just a conversation about technology and markets.

Current Focus

  • • Learning advanced data engineering patterns
  • • Building ML and quantitative finance projects
  • • Exploring cloud-native architectures
  • • Contributing to open source projects