🚀 AI & Backend Engineer | 🧠 Passionate about Agentic AI, RAG Systems, and Scalable Backends
I build intelligent systems that combine machine learning, automation, and backend engineering to solve real-world problems.
Currently exploring multi-agent orchestration, Dockerized AI services, and n8n-powered automation pipelines.
- 🤖 AI/ML Engineering → Transformers, RAG, Vision/NLP pipelines, custom ML models with NumPy/Scikit-learn
- 🛠️ Backend Development → FastAPI, Node.js, Docker, Postgres, scalable microservices
- 🔗 Agentic Workflows → LangChain, Ollama, n8n for automation and orchestration
- 📊 Applied Projects → RAG banking assistant, document intelligence pipeline, image super-resolution
🔹 MiniML Toolkit – ML algorithms (Linear/Logistic Regression, Naive Bayes) from scratch with NumPy, deployable on edge devices
🔹 Vigilius Analyst – Offline AI SQL assistant for dataset queries (Python, FastAPI, Streamlit, Ollama)
🔹 Ollama RAG Agent – Modular RAG agent with web/code tools, FastAPI backend, multi-step reasoning
🔹 Deep.Imager – Image upscaler using deep learning super-resolution models (Streamlit UI + model comparisons)
Languages: Python, Java, C#, JavaScript, TypeScript, SQL
Frameworks: FastAPI, Flask, Node.js, React, Next.js, Streamlit
AI/ML: Transformers, TensorFlow, PyTorch, Scikit-Learn, LangChain, Ollama
Tools: Docker, Git, n8n, Postman, VS Code, WSL, Heroku, Firebase
Data: Pandas, NumPy, Matplotlib, PostgreSQL, MongoDB, MySQL