Python Automation & AI-Assisted Development | Data, APIs, SQL, Streamlit

I build practical Python automation, data-processing tools, internal dashboards, and API-driven workflows that turn repetitive manual processes into reliable software.

My current work involves data analysis and automation in payment and reconciliation workflows, where I work with structured data, reporting logic, validation, and process automation. This gives me a strong focus on correctness, traceability, and building tools that solve real business problems rather than just producing code.

My main stack includes Python, pandas, SQL, SQLite, Streamlit, REST APIs, JSON, Git/GitHub, data extraction, transformation, and workflow automation.

I also use AI-assisted development tools such as Codex and LLMs as part of my development process. They help me prototype and iterate quickly, while I validate the resulting implementation through testing, debugging, data checks, and manual review.

I am a good fit for projects involving:
• Python automation and scripting
• Excel, CSV and database processing
• API integrations
• Internal tools and Streamlit dashboards
• Data extraction and transformation
• AI-powered workflows
• Reporting and reconciliation automation
• Rapid prototypes and MVPs

I value clear requirements, transparent communication, and working solutions. If you already have a manual workflow, dataset, API, spreadsheet process, or prototype idea, I can help turn it into a practical automated tool.

Work Terms

I am available for both hourly and fixed-price projects.

For fixed-price work, I prefer clearly defined deliverables and milestones so progress can be reviewed throughout the project. For larger projects, I am happy to begin with a small proof of concept before moving into full implementation.

I prefer clear written communication through Guru for requirements, progress updates, and technical details, with calls when they are genuinely useful.

My typical workflow:

1. Clarify the required outcome and inputs.
2. Break the project into small deliverables.
3. Build and test the implementation iteratively.
4. Share progress and collect feedback.
5. Fix edge cases and validate the final output.
6. Deliver the completed solution with clear usage instructions where needed.

I am comfortable working with existing codebases as well as building small tools and automations from scratch.