I'm just a guy who loves learning, building things, and continuously improving my skills.

I enjoy exploring Machine Learning, Artificial Intelligence, MLOps, Software Engineering, and Mathematics, and I'm always looking for opportunities to learn something new.

I also enjoy building end-to-end applications independently, from designing the system and writing the code to testing, containerizing, deploying, and monitoring it.

My goal is to continuously improve my engineering fundamentals and build increasingly reliable, scalable, and production-ready systems.

• Python
• SQL
• Bash

LLM / RAG

• LangChain
• LangGraph
• LangSmith
• Hugging Face ecosystem
• Qdrant
• Pinecone
• ChromaDB
• RAG
• FastAPI
• Streamlit
• Axolotl
• Unsloth
• LLaMA-Factory

Databases & Data

• PostgreSQL
• Redis
• SQLite
• SQLAlchemy

• Scikit-learn
• NumPy
• Pandas
• Matplotlib
• Seaborn
• PyTorch
• SymPy
• SciPy

• Docker
• Kubernetes (K8s)
• AWS
• Git
• GitHub
• GitHub Actions
• CI/CD
• DVC
• MLflow
• Grafana
• Prometheus
• vLLM

I focus on building complete systems rather than only individual components.

I can work independently across the development lifecycle:

Design → Development → Testing → Containerization → CI/CD → Deployment → Monitoring

This includes building end-to-end AI/ML applications, RAG systems, APIs, ML workflows, data pipelines, and production-oriented infrastructure.

A local-first AI research assistant with streaming chat, hybrid RAG, agent workflows, document search, and a production-oriented FastAPI backend.

A 1B-parameter language model inspired by modern architectures such as Kimi and DeepSeek, built with native PyTorch and designed as a Hugging Face-compatible model.

A lightweight Mixture-of-Experts language model built from scratch in native PyTorch and trained end-to-end on Kaggle using 2× NVIDIA T4 GPUs.

A no-code ML platform for tabular model training with dataset management, preprocessing pipelines, hyperparameter configuration, experiment tracking, data versioning, and model prediction.

A distributed social platform built to explore microservices, Kubernetes, Terraform, AWS infrastructure, event-driven architecture, observability, and load testing.

I'm continuously expanding my knowledge across:

AI Engineering · Machine Learning · MLOps · Kubernetes · Cloud Infrastructure · Distributed Systems · Software Engineering · Mathematics

Learn continuously. Build things. Understand the fundamentals. Improve every day.