🚀 Passionate Data Enthusiast | ML Practitioner | Automation Advocate
I thrive on solving complex problems through innovative machine learning solutions and automation. With a keen interest in AI, time series forecasting, and algorithmic trading, I enjoy building tools that make data-driven decision-making seamless and scalable.
- RAG and AI Agents: Building RAG system with OpenAI and Ollama. As well as leveraging the use of AI Agents to create a small stock forecast Agent RAG-AI-Agents
- Machine Learning Development: Dockerized Jupyter-based environments for reproducible ML workflows (ML_dev_container).
- Time Series Forecasting: Leveraging advanced algorithms and wavelet transformations (Timeseries_Wavelet).
- AI for Automated Trading: Tensor-driven cryptocurrency trading strategies (TensorTrader-System).
- Azure ML Integration: Custom Docker images for scalable machine learning (Azure_ML_Training_Job).
- I have authored a paper on Forecasting System for Inbound Logistics Forecasting, focusing on predictive models and their application in real-world scenarios. You can read the full paper here.
Explore my Dockerized ML and automation solutions on Docker Hub:
- 🔹 Ready-to-use environments for AI/ML workflows
- 🔹 Scalable solutions for cloud and local deployments
- Programming Languages: Python, JavaScript
- Technologies: Azure ML, TensorFlow, PySpark, Docker, Pytorch
- Focus Areas: AI, Financial Forecasting, DevOps, Trading Systems
- Development Tools: VSCode, GitHub Actions, CI/CD Pipelines
- Built open-source solutions adopted in trading and automation.
- Published Dockerized tools optimized for ML workflows and reproducibility.
- Contributed to practical AI solutions for time series forecasting and strategy automation.
- 🌐 Explore more of my work on GitHub.
- 🐳 Docker Hub