Professional Overview
I build AI systems that run in production, not demos. I connect LLMs to real workflows using Python, FastAPI, Docker, OpenAI APIs, and LangChain. Built trading bots, AI agents with memory, Telegram/Discord bots, and content pipelines. My thing is automation: RAG, prompt engineering, data extraction, test tooling. Open to freelance and contract.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed automated trading bots with mean reversion strategy at 60% win rate
- Built real-time data pipelines for market analysis and risk management
- Created multi-strategy backtesting framework for binary options trading
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built production AI agent with multi-platform memory and workflow automation
- Deployed LLM-powered bots on Telegram and Discord with persistent sessions
- Designed RAG pipelines and prompt engineering systems for real-time use
- Integrated OpenAI APIs with FastAPI backends and Docker containers
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
