Denis Bystruev
AI services creator like https://buddian.com
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Denis is ready for their next project!
I developed PRE-GEN detect, a standalone visual jailbreak detection service designed to prevent AI video generation platforms like Buddian from outputting copyrighted or protected IP.
Multimodal AI Integration: Integrated the TwelveLabs Pegasus model to stream and analyze raw MP4 videos, automatically extracting comprehensive physical descriptions of generated subjects.
Automated IP Arbitration: Engineered a strict arbitration pipeline utilizing OpenAI models, Pydantic, and structured JSON outputs to act as a definitive judge between the visual extraction and the protected Prampta IP registry.
Secure Media Extraction: Built a custom URL resolution and scraping module using Python, Requests, and BeautifulSoup to parse client-side rendered video pages, strictly validating against non-public IPs to prevent server-side request forgery (SSRF) attacks.
Rapid Prototyping: Built and containerized the entire pipeline under hackathon constraints, deploying a lightweight, responsive user interface via Streamlit and Docker.
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I developed fix, an automated AST-guided repository audit and multi-agent code repair engine.
Backend Architecture: Built a robust Node.js and Express API with a PostgreSQL database, fully containerized using a multi-stage Docker build. Engineered strict, zero-fallback environment configuration validation using Zod.
AST & Graph Engineering: Implemented syntax-aware code indexing using tree-sitter to parse 12 languages (including JS/TS, Python, Go, and Rust) strictly on syntax boundaries rather than arbitrary character splits. Built millisecond dependency graph queries to provide AI agents with exact call hierarchies and automatically flag risks like unhandled async promises.
Multi-Agent ADE: Orchestrated a multi-terminal Agentic Development Environment (ADE) using opencode and isolated tmux sessions. Designed a workflow where an Orchestrator coordinates Developer and Tester agents, forcing the Tester to run Playwright E2E suites blindly to prevent LLM prompt contamination.
Automated Workflows: Engineered a webhook-driven pipeline that initializes isolated Git worktrees upon payment, autonomously repairs code, applies mechanical sweeps, and delivers clean, test-verified pull requests.
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I developed Dientempo, a native iOS micro-learning and utility application built entirely in Swift.
Audio Engineering: Implemented precise, 100% offline Text-to-Speech (TTS) using AVSpeechSynthesizer. Engineered dynamic speech rate adjustments based on word length to ensure numbers never clip or overlap during the automated counting session.
System Integration: Built robust iOS hardware and OS integrations, including seamless audio routing that respects connected Bluetooth devices and EarPods, in-app system voice selection, and reliable background state restoration.
Gesture Interface: Developed a custom, gesture-driven user interface featuring tap-to-pause functionality and an accelerating swipe algorithm (jumping by 1, 2, 3, 5, 8, 12, 16 steps) for rapid timeline navigation.
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I developed Buddian, a high-performance AI video generation and streaming platform.
Architecture: Built a robust backend using Python (FastAPI), PostgreSQL, and Docker to handle asynchronous GPU rendering queues and high-frequency view tracking.
AI Integration: Orchestrated isolated generation pipelines using Vertex AI and Azure OpenAI, with support for confidential end-to-end encrypted (E2EE) inference via Phala TEE.
Complex Economy Logic: Engineered a micro-transaction ledger with strict ACID compliance, ensuring users are securely billed for successful renders and creators are instantly credited for deduplicated watch time.
Video Engineering: Developed a non-destructive, deterministic video editor that supports multi-clip generation, timeline splitting, and natural language editing commands.
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