Applied AI Engineer focused on building real-world intelligent systems — from medical computer vision to agentic AI architectures.
I specialize in designing end-to-end AI solutions that combine models, data, evaluation, and product thinking.
Decision-grade AI agent for geopolitical and macro-risk analysis
- Multi-agent architecture (Planner → Analysis → Signals → Structured Output)
- RAG-powered research workflows
- Built-in evaluation framework for response quality
- Scenario reasoning for market impact
Tech: LLMs, RAG, Python, evaluation pipelines
👉 https://github.com/Orshimon810/geopolitical-risk-agent
End-to-end computer vision pipeline for detecting fractures in X-ray images
- Dataset curation and preprocessing
- Model training and performance evaluation
- Precision/recall tradeoff optimization
- Designed for real clinical-use scenarios
Tech: Deep Learning, Computer Vision, Python
👉 https://github.com/Orshimon810/Fracture-Capture
Full-stack commerce system built with product-first thinking
- Backend APIs and database design
- Authentication and business logic
- User-focused interface
- Production-style architecture
Tech: JavaScript, Web Architecture
👉 https://github.com/Orshimon810/WebApp-Phone-Store
- Agentic AI systems with clear decision utility
- End-to-end pipelines (data → model → evaluation → product)
- AI applications that solve real business problems
- Scalable architectures rather than demo projects
AI / ML
- LLMs, RAG, Agent Design
- Computer Vision
- Model Evaluation
- Applied Machine Learning
Engineering
- Python
- System Design
- API Architecture
- Full-Stack Development
Designing intelligent agents that move beyond text generation into structured reasoning and decision support.
If you're building impactful AI systems or exploring applied intelligence — feel free to reach out.