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Collaborative project built at Kaggle Week 26 GenAI Hackathon, contributed the core AI engineering layers of a Business Law RAG Assistant that answers legal document queries with source citations and live faithfulness verification.
My contributions: built the hybrid FAISS + BM25 retrieval pipeline for accurate document search; designed the multi-agent orchestration system coordinating retrieval, generation, and verification agents; implemented the faithfulness verification layer to evaluate and score LLM output quality; integrated an MCP tool server enabling live web search as a fallback; and built the analytics dashboard tracking query performance and retrieval metrics.
Built as part of a 4-person team, my work covered the RAG pipeline, agentic architecture, and evaluation infrastructure.
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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Designed and built the core product experience for Beauto, an AI-powered automation tool for small businesses.
What I did:
AI Assistant — chat interface where users describe a task and the AI builds the automation, with proactive, impact-ranked suggestions
Integrations hub — searchable library of one-click connections (Calendar, Stripe, HubSpot, Slack, etc.)
Analytics dashboard — automations run, hours saved, and conversion rate at a glance
Result: A chat-first flow that felt far less intimidating than traditional automation builders in user testing, driving most new automations created.
So creative 👏
Can a fully automated, faceless YouTube channel actually run for free?
That question is basically what turned into crank, a terminal AI agent I've been building for myself. It's turned into a full video production system: it writes, renders, voices, captions, and publishes, start to finish, with no editing on my end.
It's currently running from production to upload at:
https://youtube.com/@ecnivs
Not public yet, but it's coming
New work: I rebuilt my studio site as a real-time 3D experience, then I attacked it.
The visual layer is hand-written WebGL and GLSL. GPU particle cores that react to your cursor, morphing transitions between pages, adaptive performance that tunes itself to the device. All custom code, no template, no page builder.
But looking expensive is only half the job. I also build and secure the systems behind sites like this: multi-tenant SaaS, Stripe billing, PostgreSQL row-level security. So I wrote an automated red-team loop in Python and ran it against my own live site: attack, triage, patch, verify. It flagged a couple of hardening gaps, I fixed them, and re-ran until it came back clean.
If you want a site that looks like a high-budget trailer and holds up when someone probes it, that is what I build.
Live: xkaii.studio
The security work: xkaii.studio/security
The combination of high-end GLSL motion and row-level security backend is incredible. What vulnerabilities did your automated Python red-team loop flag during the initial test runs?