I build practical, end-to-end systems where data, logic, and users actually come together.
My work focuses on Python-based applications that combine backend engineering, data handling, and applied AI to solve real problems not isolated scripts or demo notebooks.
- AI-assisted applications built with clear use cases
- Data-driven projects using real-world datasets
- Backend APIs that connect models, data, and interfaces
- Product-style projects designed to be used, not just explored
I care more about how a system behaves as a whole than individual components in isolation.
An AI-powered assistant that enables users to query documents (PDFs, images, text) using retrieval-based techniques.
Designed to prioritize context, traceability, and real usability.
A system that compares resumes with job descriptions and surfaces actionable gaps answering questions like: “What should I improve for this role?”
A large-scale data analysis project exploring demand patterns, churn signals, and delivery performance using real operational data.
A product-focused web application that recommends gaming setups based on budget, performance needs, and usage patterns.
- Prefer simple systems that can evolve
- Avoid unnecessary abstraction
- Debug by understanding flow, not guessing
- Build first, refine with intent
If you're reviewing this profile professionally,
Klarity and Resume2Job are good places to start.