I’m not trying to build projects just to add another tech stack to my profile. I like building tools that start from a real problem, messy data, confusing workflows, repeated manual work, or something people struggle to understand, and then turning that into a simple application that feels useful.
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I work on AI applications that use reasoning, fallback logic, and practical workflows instead of only simple prompts. |
I build tools that help organize, clean, select, export, and understand data in a more usable way. |
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I create web applications with simple user flows using React, TypeScript, Firebase, APIs, and deployment tools. |
I build dashboards that make patterns easier to understand across healthcare, business, and research data. |
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Machine Learning, Generative AI, Agentic AI, LLMs, NLP, Prompt Engineering, LangChain, AI Agents, RAG, Model Evaluation |
Data Analysis, Data Cleaning, Data Visualization, Dashboards, Reporting, Power BI, Tableau, pandas, NumPy |
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React, Next.js, TypeScript, JavaScript, HTML, CSS, FastAPI, Flask, Spring Boot, Node.js, REST APIs |
SQL, MySQL, PostgreSQL, MongoDB, Firebase, SQLite, Git, GitHub, Docker, Kubernetes, AWS, Vercel, Streamlit, VS Code |
- Building agentic AI applications that can reason, respond, and still work when full AI support is not available
- Improving applied machine learning projects with clearer problem framing and better explanation
- Creating data tools for research, lab workflows, and CSV-based analysis
- Building full-stack applications with simple user flows and practical features
- Writing cleaner project documentation so others can understand the purpose, setup, and result
I like projects that start with a real reason.
For me, the goal is not just to use a new tool or framework. The project should make a task easier, explain data better, reduce manual work, or help someone move through a workflow with less confusion.
That is the kind of work I want my GitHub to show.