Programming

Problem Domains

• Data Architecture & Analytics

  I build data systems for complex problems, such as real-time pipelines, analytics platforms, and machine learning implementations that need to work reliably in production.

  My experience spans the full data stack: Kafka and Spark for stream processing, PostgreSQL / MongoDB / BigQuery for analytics, Airflow for orchestration, and scikit-learn / TensorFlow / PyTorch for ML implementation.

  I’ve delivered systems that achieved 10x performance improvements over legacy infrastructure, designed architectures that scaled from thousands to millions of daily users, and built ML implementations that reduced prior data processing time by 80%. My focus is on solutions that perform under real-world load and can be maintained long-term by your team.

  Whether you need to architect new data infrastructure, migrate existing systems to more scalable solutions, create dynamic dashboards that tell your data’s story, or implement new capabilities that seamlessly integrate with your current stack, I design systems that solve the immediate problem while positioning you for future growth.

• Full-Stack Development

  I build complete web applications and software systems using modern development practices and tools that prioritize maintainability and performance.

  My primary languages are Python and JavaScript / TypeScript, with extensive experience in Java, C, and PHP depending on project requirements. As required or requested, I can leverage AI-assisted (with human-in-the-loop) development tools like Copilot and Cursor to accelerate delivery while maintaining code quality. My development approach includes proper architectural design, API design, database optimization, and front-end implementations that work well across devices.

  I’ve delivered applications serving millions of daily users, built custom content management systems for enterprise clients, e-commerce stores processing hundreds of thousands in sales each month, and embedded systems for specialized hardware. My focus is on writing clean, well-commented and documented code that your team can extend and maintain.

  Whether you need a new application built from scratch, legacy code modernized, or complex integrations, I deliver working software that solves real problems and can evolve with your business needs.

• Machine Learning & AI Implementation

  I implement machine learning solutions that work in production environments.

  I work primarily with scikit-learn for traditional ML algorithms and TensorFlow / PyTorch for deep learning applications. My implementations can include API integrations with LLMs like ChatGPT and Gemini, custom model training, and data preprocessing pipelines using Pandas and NumPy. I focus on solutions that deliver measurable business value whether that be a full solution or a technical demonstration.

  I’ve designed predictive analytics SaaS products for retail markets, architected ML features including NLP and custom content delivery for enterprise platforms, and integrated ML into data pipelines to reduce noise and improve data quality. My approach emphasizes model performance and data quality, with particular attention to systems that can be monitored and maintained in production.

  Whether you need to add AI capabilities to existing products or build custom ML models for specific business problems, I deliver solutions that perform reliably and integrate seamlessly with your current infrastructure.

• MVP & Pilot Project Development

  I build minimum viable products and proof-of-concept systems that quickly validate ideas while establishing solid technical foundations.

  My approach focuses on rapid development using proven technology stacks and intelligent feature prioritization. I work with modern frameworks and cloud services to deliver functional products in weeks rather than months, while avoiding technical debt that prevent next-step scaling.

  I’ve designed SaaS MVP platforms from customer engagement through go-to-market strategies and developed pilot systems that successfully secured seed / Series A funding. My focus is on delivering working software that proves the market hypothesis.

  Whether you need to validate a business concept with a functional prototype or build an MVP for investor demonstrations, I deliver solutions that balance development speed with long-term sustainability.

• Application Infrastructure & Deployment

  I handle the infrastructure and deployment setup necessary to get applications running reliably in both dev and prod environments.

  My work includes containerizing applications with such tools as Docker, setting up CI / CD pipelines for automated deployments, and configuring cloud services on AWS, GCP, or Azure as needed for the project. I implement monitoring and logging systems that help identify issues before they impact users, while ensuring security “best practices” are followed throughout the process.

  I’ve set up infrastructure that automatically scales applications from prototype to production loads and implemented deployment pipelines that reduced release cycles from days to hours. My approach focuses on creating deployment processes that development teams can use confidently without specialized DevOps knowledge.

  Whether you need to get a new application deployed to the cloud, improve existing deployment workflows, or set up infrastructure that can grow with your product, I handle the technical details that bridge development and production environments.

Case Studies