Building practical AI products, machine learning pipelines, automation tools, developer workflows, and healthcare/bioinformatics experiments.
- Full-stack AI tools with frontend, backend, API logic, model routing, and deployment paths.
- Data science and machine learning projects with notebooks, feature engineering, evaluation, and reporting.
- LLM-powered assistants using OpenAI-compatible APIs, local model workflows, deterministic fallback logic, and safety boundaries.
- Healthcare AI and bioinformatics experiments focused on reproducibility, validation, and explainable outputs.
- Developer productivity tools for SQL, spreadsheets, automation, and project delivery.
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ML - Machine Learning & Data Science Feature engineering, model evaluation, notebooks, and reproducible experiments. |
AI - AI Engineering & LLM Workflows AI assistants, provider routing, prompt systems, and local/cloud model workflows. |
BIO - Bioinformatics & Healthcare AI Clinical genomics pipelines, validation, explainability, and report-ready outputs. |
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APP - Full-stack AI Products React/Next.js interfaces connected to FastAPI services and product workflows. |
AUTO - Automation Systems Structured workflows for content, spreadsheets, data, and repetitive technical tasks. |
DEV - Developer Tools SQL, Excel, API, and dashboard tools designed to make technical work faster. |
| Languages |
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| AI / ML |
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| AI Engineering |
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| Backend |
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| Frontend |
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| Databases |
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| DevOps & Tools |
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| Project | Summary | Stack | Status |
|---|---|---|---|
| AI Social Media Manager / ARIA | AI-assisted content planning, generation, review, scheduling, and optimization workspace. | Python, FastAPI-style services, Next.js, React, TypeScript, Docker | Active MVP |
| SQL AI Copilot | PostgreSQL-focused AI sidecar for SQL generation, explanation, fixes, schema help, and safe read-only execution. | FastAPI, React, TypeScript, PostgreSQL, OpenAI, Ollama, sqlglot | In progress |
| Excel AI Assistant | Microsoft Excel Office Add-in MVP for range analysis, formula help, cleaning plans, and AI-assisted reports. | FastAPI, React, TypeScript, Office.js, OpenAI, Ollama | Prototype |
| TEKNOFEST Genetic Variant Classifier | Healthcare AI pipeline for missense variant pathogenicity prediction with validation and explainability outputs. | Python, pandas, scikit-learn, LightGBM, XGBoost, CatBoost, SHAP | Research / competition |
| Kinetix Flow | Data science project for passenger-flow forecasting using Baku metro usage patterns. | Python, Jupyter, feature engineering, ML models | Data science project |
| Portfolio Website | GitHub Pages portfolio presenting projects, skills, and public work. | React, TypeScript, Vite, Tailwind CSS | Active |
- Python for Data Science, AI & Development - IBM via Coursera
- Getting Started with Git and GitHub - IBM via Coursera
- Introduction to Software Engineering - IBM via Coursera
- SQL Basic Certificate - HackerRank
I am focused on building credible, practical AI systems: full-stack tools with real workflows, reproducible ML projects, healthcare AI experiments, and developer productivity utilities that can be reviewed from code, documentation, and architecture.
Open to internships, collaboration, and technical feedback around AI products, data science, automation, and bioinformatics-focused systems.
