Aldo Akhanov
Senior Full-Stack & AI Automation Engineer
9+ years building scalable backend systems, intelligent automation pipelines, and data-intensive products. I sit at the intersection of software engineering, AI systems, and large-scale data mining — shipping real products fast.
What I build
Python (Django, FastAPI, Flask) backends + React/Next.js frontends. Data-heavy dashboards, admin panels, REST APIs, Celery job queues, and bulk data processors at scale.
RAG pipelines with pgvector, tool-calling agent workflows, NL analytics interfaces, and hallucination-resistant prompting. I orchestrate AI around real business logic.
Scraped 200+ sites (5T+ records), bypassing anti-bot systems using Playwright & proxy rotation. Real-time ETL pipelines processing 1.5T+ live events. I get data that doesn't want to be gotten.
Docker, Kubernetes, AWS (Lambda, S3), GitHub Actions CI/CD, Nginx, PostgreSQL optimisation. Achieved 4× faster dashboards through containerisation and automated deployments.
Core stack
Signature projects
Full sports intelligence platform — match analytics, ML predictions, AI-powered insights, real-time ingestion pipelines, and interactive dashboards. Built end-to-end with Django + React + pgvector RAG.
Saved Arista $1M+ — scenario planning, procurement modelling, approval workflows, OPEX/CAPEX forecasting, and 1,000+ dynamic column dashboards.
Scraped 200+ websites (5T+ records) bypassing anti-bot systems via Playwright & proxy rotation. Real-time ETL pipelines pushing 1.5T+ live events into PostgreSQL + Redis.
Production-grade local AI — pgvector + FastAPI + Docker, accessible across a private LAN. Natural-language queries over structured business data with auditable, schema-grounded outputs.
Why engineers like me are rare
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Ships fast without cutting cornersRapidly learns new domains and delivers production-ready MVPs.
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Systems thinking at scaleConnects backend architecture, AI reasoning, data pipelines, and product workflows into one coherent system.
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Reverse-engineers anythingExceptional at debugging complex, undocumented systems and finding root causes where others give up.
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Bridges AI + traditional engineeringDoesn't just call the API — orchestrates LLMs around real business logic with auditable, structured outputs.
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Product intuitionTurns vague ideas into working products. Thinks like a founder about what actually matters to ship.
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High-leverage through automationEliminates entire categories of manual work. Applies Cursor, Claude Code, and MCP tooling to ship faster without sacrificing quality.