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.