π Building intelligent, scalable, and production-ready applications with AI, Machine Learning, Python, and modern full-stack technologies.
With 8 years of software development experience, I specialize in designing end-to-end solutions that combine robust backend systems, intuitive user interfaces, data-driven intelligence, and secure application architectures.
My focus is on turning complex business problems into practical software solutions, particularly in Fintech, Healthcare, and AI-powered applications.
- π» 8+ years of experience in software engineering and application development.
- π€ Specialized in AI Engineering, Machine Learning, and LLM-powered applications.
- π Strong focus on Python, backend engineering, and ML development.
- π Experienced in building full-stack applications from concept to deployment.
- π¦ Interested in building secure, scalable solutions for Fintech and financial technology.
- π₯ Passionate about developing intelligent applications for Healthcare and digital health.
- π§ Focused on integrating AI into real-world products and business workflows.
- βοΈ Interested in clean architecture, API design, automation, and production-ready systems.
- π€ Open to collaborating on meaningful AI, ML, and full-stack engineering projects.
Note: The technology badges above are a suggested stack. Keep only the technologies you have actually used professionally or in projects.
| Domain | Focus |
|---|---|
| π€ AI Engineering | LLM applications, AI integrations, intelligent automation |
| π Machine Learning | Predictive modeling, model evaluation, data-driven solutions |
| π Python Development | Backend services, automation, scalable APIs |
| π Full-Stack Engineering | End-to-end application development and system integration |
| π¦ Fintech | Financial applications, transaction workflows, risk analytics |
| π₯ Healthcare | Healthcare software, data workflows, AI-assisted applications |
| βοΈ Production Engineering | Containerization, deployment, testing, and maintainability |
- AI-Powered Applications: Intelligent assistants, LLM integrations, and workflow automation.
- Machine Learning Solutions: Data processing pipelines, predictive models, and inference services.
- Scalable Backend Systems: REST APIs, asynchronous services, and database-driven applications.
- Full-Stack Products: Modern web interfaces connected to robust backend architectures.
- Fintech Solutions: Financial data applications, analytics, and secure transaction workflows.
- Healthcare Technology: Data-centric applications and responsible AI-enabled workflows.
Here are some areas where I showcase my engineering work:
- π€ AI & LLM Applications β Practical applications powered by modern AI models.
- π Machine Learning Projects β Model development, evaluation, and deployment.
- π¦ Fintech Engineering β Financial analytics, API integrations, and data processing.
- π₯ Healthcare AI β Intelligent data workflows and healthcare-oriented applications.
- π Full-Stack Applications β Complete products built with modern frontend and backend technologies.
Replace these categories with links to your strongest public repositories, including a short description of each project's impact, architecture, and technologies.
I'm always interested in connecting with engineers, researchers, founders, and teams building impactful products with AI and modern software engineering.
- π Portfolio: Explore my work
β If you find my projects useful, feel free to star a repository or contribute.
Building intelligent software. Solving real-world problems. Engineering for impact.