Bridging business needs, technology, and data to build practical solutions that create real value.
I'm interested in the intersection of Business, Technology, and Data.
My focus is on understanding complex business problems, translating them into clear technical requirements, and working with technology to design practical solutions.
Business Problem
↓
Requirement Analysis
↓
System & Data Understanding
↓
Technical Solution
↓
Implementation
↓
Business Value
| Area | Focus |
|---|---|
| 📊 Business Analysis | Requirements · Process Analysis · User Stories · Use Cases |
| ⚙️ Technical BA | System Analysis · APIs · Data Flow · Integration |
| 🤖 Machine Learning | ML · NLP · LLMs · Recommendation Systems |
| 🌐 Open Source | Collaboration · Contributions · Developer Communities |
- Business & stakeholder requirement analysis
- Functional & non-functional requirements
- Business process modeling and improvement
- User stories & acceptance criteria
- Use cases & functional specifications
- Requirement documentation
- Stakeholder communication
- Translating business requirements into technical specifications
- System & API analysis
- Data flow and integration analysis
- Understanding system architecture
- Identifying technical constraints and dependencies
- Working with Developers, QA, Product, and Stakeholders
- Supporting solution design and implementation
- Machine Learning fundamentals
- Recommendation Systems
- Natural Language Processing
- Large Language Models
- Retrieval-Augmented Generation
- Data-driven problem solving
- AI applications for business use cases
Deep Learning · Recommendation System · Personalized Recommendation
A recommendation system project exploring how deep learning and embedding-based approaches can be used to generate personalized recommendations.
- Neural Collaborative Filtering architecture
- User & item embeddings
- Recommendation pipeline
- Model training & evaluation
- Data preprocessing
- Research-oriented experimentation
Combining business understanding + data + machine learning to solve real-world recommendation problems.
| Business & Product | Technology | AI & Data |
|---|---|---|
| Business Analysis | System Analysis | Machine Learning |
| Requirements Engineering | API Integration | NLP |
| Process Improvement | Data Flow | LLMs |
| User Stories | Architecture | RAG |
| Stakeholder Management | Technical Documentation | Recommendation Systems |
BUSINESS
│
▼
┌──────────────────┐
│ Business Analysis │
└────────┬─────────┘
│
▼
┌─────────────────────┐
│ Technical BA │
│ System · API · Data │
└─────────┬───────────┘
│
▼
┌─────────────────────┐
│ Machine Learning │
│ AI · NLP · LLM · RAG│
└─────────┬───────────┘
│
▼
┌─────────────────────┐
│ Practical Solutions │
│ & Open Source │
└─────────────────────┘
Understanding the problem → Designing the solution → Building technology → Creating value
I believe that building in public and contributing to open-source projects are great ways to:
- Learn from experienced developers
- Share knowledge and practical solutions
- Improve engineering practices
- Collaborate with the developer community
- Turn ideas into reusable tools
