Founder @ Mindburn Labs | Building HELM — the execution firewall for AI agents | Fail-closed. Signed receipts. Productio

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Ivan Peychev  • Peerlist

Been working with 15+ AI tools daily - Warp terminal, Google AI tools and CLI, Aider, Cursor IDE, Minimax M2 for coding and agentic workflows, Higgsfield for video generation, ChatGPT/Codex, Perplexity, Lovable for app building, z.ai for scheduling, and a bunch more depending on what I'm building. The whole point is figuring out what actually works vs what's just hype. Most companies are stuck because they can't find people who know this stuff - according to some 2025 data like 95% of orgs are getting hit hard by the tech talent shortage. I focus on the practical side - AI for code, security analysis, cloud infrastructure, data pipelines. Not theoretical stuff, but what you can actually ship today. The demand for people who can do this is nuts right now, and most projects that need these skills end up abandoned because teams can't find the right people fast enough.

AI & Cybersecurity Skills Development Initiat

Building full-stack applications 10x faster using AI coding assistants (Cursor, v0, Copilot). I handle everything from initial design to deployment - frontend, backend, databases, APIs - but with AI doing the heavy lifting on repetitive code. This isn't about replacing developers; it's about being able to ship MVPs and working prototypes in days instead of months. Perfect for startups that need to validate ideas quickly or companies that have been stuck in the "we need to hire more engineers" loop. Real recent work includes: crypto data platforms, marketing automation tools, Web3 integrations. Stack varies by project needs but usually involves modern frameworks, cloud infrastructure, and whatever makes sense for the problem.

AI-Powered Development Services

Building data pipelines that process crypto market data, trading signals, and real-time analytics. Started with my own trading needs but turns out lots of companies struggle with turning messy data streams into something they can actually use. I handle the full stack: data ingestion from multiple sources (APIs, websockets, databases), cleaning and transformation, storage optimization, and building dashboards or alerts on top. Heavy use of AI tools for generating pipeline code and debugging data quality issues. Current work includes: crypto intelligence platforms, market sentiment analysis, automated trading signal generation. The focus is always on reliability - if your data pipeline breaks at 3am, your business stops working.