I'm Shakhriyor, an AI/ML engineer focused on building LLM-powered applications that actually ship — from agents and RAG systems to deployed APIs. I recently completed my B.Tech in AI/ML and I'm looking for a Junior AI/ML Engineer role where I can build production-grade AI systems.
My approach is end-to-end: I don't stop at a notebook. Each project here goes from concept to a clean, modular codebase to a live, containerized deployment. I care about why a design decision is made — query safety, prompt engineering, separation of concerns — not just whether the demo runs.
LLM & Agents: LangChain, LangGraph, RAG, multi-agent orchestration, OpenAI/Groq APIs, prompt engineering ML & Data: Python, scikit-learn, LightGBM, XGBoost, pandas, feature engineering, model evaluation Backend & Deployment: FastAPI, Flask, Docker, REST APIs, Pydantic, Render Data Stores: SQLite, Pinecone, Qdrant (vector databases) Other: Computer Vision (YOLO, FAISS), Git/GitHub
📧 Email: [email protected] 🔗 GitHub: github.com/Shakhriyor-git 💼 LinkedIn: www.linkedin.com/in/mrshakhriyor0106 📍 Location: Uzbekistan (open to remote)
📲Telegram : man_0106
🧪 Learning Lab
A separate space for short ML experiments and tutorials — mini-projects exploring different algorithms (XGBoost, Logistic Regression, Random Forest, TF-IDF), used to practice fundamentals outside of production work.
→ Visit: mineprojects2.vercel.app
My vibe :