I’m a research-oriented developer exploring Artificial Intelligence, Machine Learning, and LLM systems with a strong focus on practical, real-world deployment.
My work lies at the intersection of:
- 🔬 AI Research & Experimentation
- ⚙️ Efficient model design (small models, CPU-friendly)
- 📱 AI-powered applications (Android + Edge AI)
- 🗄️ Backend & Data Handling
I enjoy breaking systems, fixing flaws, and building better solutions through research-driven development.
- 🤖 Large Language Models (LLMs)
- 🧠 Model Compression & Fine-Tuning
- 📉 Low-resource & CPU-based AI
- 🔍 AI for Business Automation
- 📊 Data Analysis & Pattern Mining
- 🧪 Experimental AI Prototypes
Languages & Core:
Python C++ Kotlin Java
AI / ML:
PyTorch TensorFlow Scikit-Learn HuggingFace ONNX
Systems & Tools:
Android SDK SQL Firebase Linux Git SpringBoot
- Fine-tuning small language models for task-specific reasoning
- CPU-only inference & latency reduction
- Prompt-engineering vs fine-tuning comparisons
- Inventory & billing systems enhanced with AI insights
- Offline-first AI decision support
- Data-driven automation tools
- Lightweight AI agents
- Domain-specific mini-models
- AI + Mobile hybrid applications
👉 Most projects are experimental, iterative, and research-driven.
“Build → Measure → Break → Improve”
I treat every project as an experiment, prioritizing:
- Reproducibility
- Performance metrics
- Real-world constraints
- 🤝 Open to AI research collaboration
- 📧 Email: your email
- 💼 LinkedIn: your LinkedIn
⭐ If my work interests you, feel free to explore or collaborate.