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Vasyl Lietov

Offer Vasyl work on your next project.

Ukraine Zaporizhzhia, Ukraine
4 days 3 hours back
Available for hire available for hire
age 27 years
on the service 11 months 29 days

Rating

Successful projects
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Average rating
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Rating
385
AI & Machine Learning
126 place out of 2853
AI & Machine Learning
126 place out of 2853

Language proficiency level

Українська Українська: fluent
Русский Русский: fluent
English English: upper-intermediate

CV

About Me — Automation Architect & Code Master

I am a Full Stack Developer and Automation Architect with years of experience designing intelligent, high-performance systems that eliminate routine work, optimize processes, and push the boundaries of what’s possible.
My philosophy is simple: any repetitive task on a computer should be automated.

My approach is rooted in a deep understanding of programming fundamentals, allowing me to work efficiently with any kind of code — from legacy “spaghetti code” to enterprise-level architectures.
I see logic where others see chaos, transforming messy structures into elegant, scalable systems.


My Focus — Innovation with LLMs & Hyper-Automation

I specialize in the intersection of Artificial Intelligence, Automation, and Software Architecture, designing systems where Large Language Models (LLMs) serve as the core intelligence driving full autonomy.

Key Directions:

  • Full-Cycle Automated Content Creation
    From concept to publication — I build systems that autonomously generate text, images, videos, and audio, then distribute them across multiple platforms with no manual intervention.

  • Workflow Optimization & Efficiency Systems
    I design tools that remove repetitive tasks, enhance productivity, and allow people to focus on creativity rather than process management.

My strength lies in systems thinking — building integrated ecosystems where APIs, databases, and AI models operate as a unified, intelligent network.


Core Skills & Technologies

  • Full Stack Development:
    Deep understanding of client-server architecture, databases, APIs, and deployment strategies.

  • Automation & Scripting:
    Custom-built solutions for workflow optimization and desktop process automation.

  • LLM Mastery:

    • Advanced prompt engineering

    • Multi-step agent design and RAG systems

    • Model fine-tuning and task-specific adaptation

    • Integration of LLMs into complex automated ecosystems

  • Web Scraping & Data Parsing:
    Large-scale data collection and structuring from diverse sources.

  • Multithreading & Performance Optimization:
    High-load, efficient systems capable of handling massive data flows.

  • ZennoPoster Expertise:
    Professional-level automation, including multi-threaded operations, anti-bot protection bypassing, and advanced scripting.

  • Language-Agnostic Coding Mindset:
    Ability to rapidly master new languages and frameworks through deep logical understanding of code patterns and architecture.


Selected Projects

1. Autonomous Content Generation & Publishing System

Description:
A complex, fully automated system leveraging LLMs to generate unique text, images, and videos — complete with SEO optimization and automated cross-platform publishing.

Role: Architect, Full Stack Developer, LLM Integrator
Tech Stack: Python, OpenAI/Gemini APIs, ZennoPoster, databases, cloud infrastructure
Achievement:
Built a fully autonomous content pipeline capable of generating and publishing hundreds of content pieces daily with minimal resource usage.


2. LLM-Based Automated Analytics & Reporting System

Description:
An intelligent tool that autonomously gathers, analyzes, and summarizes multi-source data — from financial reports to market insights — using LLMs to produce actionable analytics.

Role: Lead Developer, LLM Integration Expert
Tech Stack: Python, Pandas, LLM frameworks, data visualization libraries
Achievement:
Reduced reporting time by up to 80%, while improving analytical accuracy and insight generation from unstructured data.


3. High-Performance Multi-Threaded Market Data Parser

Description:
A scalable, asynchronous data-parsing engine capable of collecting and analyzing data from thousands of websites, using LLMs for semantic analysis and pattern recognition.

Role: Parsing Algorithm Architect, Performance Optimizer, LLM Integrator
Tech Stack: Python (asyncio, Scrapy), ZennoPoster, PostgreSQL
Achievement:
Achieved a 5x increase in data collection speed, providing valuable market intelligence and trend discovery.


Why Me

I don’t just write code — I design intelligent ecosystems.
I see logic behind the syntax, structure behind chaos, and opportunity behind every problem.

If you’re looking for a developer who combines deep technical expertise with visionary automation thinking — someone who can transform ambitious ideas into fully autonomous, scalable systems — you’ve found the right partner.

Skills and abilities

Portfolio


  • 11 275 USD

    End-to-End Content Automation: LLM-driven Generation and Narration

    Python
    Developed and implemented a unique fully autonomous system for generating, processing, and distributing content on the web. This is not just a tool, but a complete content production conveyor that operates without human intervention.
    The key challenge was integrating large language models (LLM) at the deepest level: from idea and synopsis generation to final text, graphic, and video content. The system can adapt the style, tone, and format of content for different platforms, ensuring maximum relevance and audience engagement.
    I automated every step:
    * Generation: Creating unique texts, images, video sequences, and audio based on specified parameters, using multi-layered prompt engineering strategies.
    * Processing and Optimization: Automatic editing, correction, fact-checking, and SEO optimization of content to increase visibility.
    * Distribution: Full automation of publishing on various web platforms and social networks, considering their specific requirements and APIs.
    * Monitoring: Built-in mechanisms for tracking publication effectiveness and collecting data for further algorithm improvements.
    This project embodies my approach to hyper-automation, where routine operations are completely eliminated, allowing focus on strategic planning and innovation. The system is optimized for multi-threaded operation, ensuring high throughput and stability. Using #ZennoPoster enabled the implementation of complex interaction scenarios with web resources that lack direct API.
    Results: Significantly accelerated content release, minimized human factor, scalable production of unique content. This system can generate and publish hundreds of content units daily.
    #AI #LLM #Automation #FullStack #Python #ZennoPoster #ContentAutomation #DeepLearning #WebScraping #ML #BigData

Activity

  Latest proposals 6
Content automation Personal project
AI Automation
451 USD
Create a connection for call analysis
474 USD
Automation (n8n/make) for launching a content factory with AI avatars
609 USD
Python - Development of an automated trading bot with elements of machine learning
10 000 USD
AI automation for script creation and video
564 USD