I build backend and AI systems around LLMs: agents, RAG pipelines, automation tools, validators, integrations, and production-oriented services that are useful outside a pretty demo.
I am strongest in Python backend development and production LLM systems: building APIs, connecting tools, designing data flows, integrating models into business logic, and making AI features less fragile than the average “weekend prototype from hell”.
My current professional focus is not “I trained a giant model in my basement and now it has opinions about humanity”. My focus is more practical: how to make LLM-based systems work inside real products.
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A backend engineer who moved deeply into AI systems. I like when models are not isolated magic boxes, but parts of useful software: APIs, tools, retrieval, validation, monitoring, and business workflows. |
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Intelligent assistants, AI agents, internal automation systems, RAG platforms, and eventually robots. Not toy robots that blink sadly in a corner, but machines that perceive, reason, act, and help people. |
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I love robots and want to dedicate a serious part of my life to them. Robotics feels like the place where software finally stops living only inside screens and starts touching the real world. That is terrifying, beautiful, and exactly why it is interesting. |
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I am studying machine learning, LLM systems, computer vision, robotics basics, and neuroscience. I am especially interested in the future symbiosis of machine intelligence and organic life: perception, emotions, adaptation, embodiment, and human-machine cooperation. |
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Production-oriented LLM and backend work. I am honest about my current level: I am not presenting myself as a senior ML researcher or robotics veteran. My strongest area is building useful software around AI, while actively growing deeper into ML, CV, neuroscience, and robotics. |
- Production mindset. I care about how the system behaves after the demo: logs, fallbacks, tests, integrations, data quality, and maintenance.
- Backend discipline. I know that an AI feature still needs APIs, schemas, storage, access control, deployment, and error handling. Sadly, the model will not magically fix your database. The bastard refuses.
- Clear communication. I can explain trade-offs, document decisions, and keep technical work connected to product goals.
- Fast learning. I am actively expanding from backend and LLM engineering into deeper ML, computer vision, robotics, and neuroscience.
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Retrieval-augmented generation, tool-using agents, validators, business assistants, and AI automation. |
Python services, FastAPI applications, SQL logic, integrations, CRM workflows, and deployment-ready systems. |
Beginner-level CV and robotics learning path with a long-term focus on embodied AI and human-machine symbiosis. |
- My blog: https://lebedev-systems.com/blog
- Hugging Face: https://huggingface.co/gotogrub
I am open to roles and projects involving AI engineering, LLM systems, RAG, backend development, automation, and applied ML.
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Machines that perceive. Software that survives production. Less bullshit, more shipped systems.