I'm a full-stack developer with 15+ years of experience building backend-heavy web systems. I specialize in Python and Django but also worked with PHP, C#, and JavaScript across a range of stacks. My focus is on practical problem-solving, clean architecture, and performance. I enjoy working on systems that actually help people β especially in business and assistive tech.
Currently based in Tbilisi, Georgia, working remotely as Artificial Intelligence Engineer at Improvado and Founder / Software Engineer at devjcat LLC.
Databases:
Redis, MSSQL, Clickhouse
Cloud & DevOps:
Linux, bash scripts, cron
AI / ML / LLM Tools:
π€ LangGraph, π MCP, π§ LangChain, π LlamaIndex, π RAG, π€ Hugging Face, π― CLIP, π΅ Panako,
At Improvado:
- Agentic Product Features: Design and implement AI/ML capabilities for Improvado's SaaS platform, including LLM-based agents, retrieval-augmented generation (RAG) pipelines, and automated analytics.
- Model Delivery: Fine-tune, evaluate, and deploy large language models for domain-specific marketing analytics use cases; monitor performance, detect regressions, and build feedback loops for continuous improvement.
- Data Foundations: Build and maintain data pipelines that feed AI systems with high-quality, structured marketing and revenue data.
- Production Integrations: Integrate third-party AI APIs (Anthropic, OpenAI) and open-source models into production services.
- Cross-functional Delivery: Translate business requirements into AI-driven solutions together with product and engineering teams, and contribute to architectural decisions for AI components.
At devjcat LLC:
- Autonomous Code Review Pipeline: Architected and deployed an automated, LLM-driven code review system for GitHub commits using n8n, significantly reducing manual PR review time.
- AI Agent Development: Built autonomous AI agents using Google ADK capable of deep project repository analysis, integrating custom Cursor skills so agents resolve tasks and generate end-to-end Pull Requests.
- B2B Integrations: Designed and implemented multi-agent systems and AI-driven solutions using LangGraph and MCP.
- Full-stack Delivery: Build scalable backend systems and modern frontend applications using Python and modern JavaScript frameworks.
- Building AI agents and automation workflows for real-world problems
- ML/AI-powered content analysis and categorization
- Solving business problems with practical, scalable systems
- Infrastructure-as-code, developer productivity, and code clarity
- Interest in assistive technologies and prosthetics
"Programming languages are tools β value comes from solving actual problems."