I build intelligent agentic systems that plan, use tools, and coordinate multi-agent workflows. My work focuses on RAG, fine-tuning, quantization, and orchestration to deliver reliable, scalable AI solutions.
I recently released GentisAI (v0.2.32), a modular framework designed to streamline the development of intelligent agents and LLM applications.
Build intelligent agents and LLM apps faster with a scalable architecture.
| Domain | Technologies |
|---|---|
| AI & ML | Python, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex |
| LLMs & Agents | OpenAI API, Ollama, Local LLMs, RAG, Q-LoRA, Fine-tuning |
| Deployment | Docker, Kubernetes, Azure, AWS, FastAPI, Flask |
| Tools | Git, VS Code, Jupyter, Postman, Linux |
| Project | Description | Tech |
|---|---|---|
| GentisAI | 🌟 New Framework for building modular, scalable AI agents. | Python AI Framework |
| Ollama Recruiter Agent | Privacy-first local recruiter agent. Screens & ranks candidates on-device. | Ollama Local LLM |
| Lead Gen Expert | Multi-agent debate system for lead qualification & scoring. | IBM Granite Multi-Agent |
| Auto-Investor | Automated crypto trading bot with statistical & neural forecasting. | RNN BERT Binance API |
- The Impossible Tradeoff: Solving LLM Hallucination and Latency - Nov 2025
- How to Stream Multimodal Outputs with Hugging Face Transformers - Dec 2024
