I build AI-powered systems and backend solutions that actually work in production.
I turn AI ideas into real, scalable products — from agents and RAG systems to full backend architectures.

🚀 I make AI useful, reliable, and integrated into real workflows.

🔹 RAG & Knowledge Systems — Retrieval-Augmented pipelines for internal knowledge
🔹 AI Agents & Automation — AI workflows integrated with real tools
🔹 Backend Tools — Python backend for SaaS & data-driven apps

More projects coming soon…

I help companies and teams turn AI from demos into real, usable systems.

Key focus areas:

• 🤖 AI agents for workflow automation
• 🧠 Retrieval-Augmented Generation (RAG) systems
• 🔗 AI integrations with SaaS & enterprise tools (APIs, GitLab, OneDrive)
• ⚙️ Backend systems for AI applications (Python, FastAPI, Django)
• ☁️ Cloud-native AI (AWS, GCP)

Most AI projects fail after the demo. I focus on:

• Building production-ready systems
• Grounding AI in real internal data (no hallucinations)
• Designing AI solutions that scale and integrate with workflows

Systems you can rely on daily. Not prototypes, not experiments.

• Built enterprise AI components for a large financial organization
• Developed AI agents integrated with GitLab, OneDrive, and internal tools
• Implemented RAG pipelines to improve reliability and trust
• Designed scalable backend services for AI systems

• Backend development & API design
• AI-powered workflow automation
• RAG systems for internal knowledge
• AI integration into SaaS & enterprise tools

Languages: Python, SQL
Backend: FastAPI, Flask, Django, REST APIs
AI/ML: LLMs, RAG, Agentic Systems, Scikit-learn
Cloud: AWS, GCP
Data: Pandas, NumPy
Tools: Docker, Git, Jupyter

• 🏅 Kaggle
• 🥋 Codewars
• 🗿 HackerRank

• 💼 LinkedIn
• ☘️ Upwork

Open to collaboration on AI projects, consulting, and system design.

• Agentic systems
• MCP & tool-based architectures
• Real-world AI adoption in companies