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AI DeveloperHire Virtuals

Mikhail

AI engineer with experience building cost-effective, cloud-automated ML systems and LLM-based solutions. I’ve designed end-to-end pipelines for sentiment analysis, content generation, and forecasting, and worked on real-world deployments that balance performance with budget constraints. My recent focus has been on LLMOps, AI infrastructure, and workflow optimisation — especially in marketing and energy domains. I enjoy the full scope of AI work: from model selection and integration to cloud architecture and automation.
Python Developer
AI Engineer
AI/ML Software Engineer
Automation
Procedural Geometry
Computer Vision
Network Setup
A/V Installation
Control Systems
Data Engineering
Low-Latency Networking
Natural Language Processing
Large Language Models (LLM)
AI Infrastructure Optimization
Machine learning
CI/CD
Forecasting Models
Cloud Pipelines
Sentiment Analysis
CGI
Media Art
Marketing
Marketing Technology
Energy
Russia
Belgium
The USA
Global
Georgia
Growth
Startup
CGI Automation Tools
AV Control Systems
Lead Generation Assistant
Sentiment & Forecasting System
AI Platform
Cloud Platform
Web App
Python
Blender Python API
TouchDesigner
Google Gemini API
AWS
Git
LLMOps
B2B
Internal product
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Mikhail's timeline
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AI EngineerHire Virtuals
October 2024 - February 2025
LLM Operations
AI Infrastructure
The USA
B2B
  • Built an LLM lead generation assistant for marketing professionals.
  • Performed workflow audits, identified bottlenecks, and optimized costs by designing a more efficient architecture.
  • Automated end-to-end AI pipelines.
  • Adapted and prompted LLMs for efficient data processing and content generation.
  • Researched methodologies for optimizing AI infrastructure.
  • Collaborated closely with Business Development professionals to achieve team goals.
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AI/ML Software EngineerSelf-employed
March 2023 - October 2024
Energy Consumption Prediction
Real-time Sentiment Analysis
Georgia
AWS
  • Developed a system for real-time sentiment analysis by automating news data processing with suitable machine learning frameworks and integrating with the Google Gemini API achieving 100% of project milestones.
  • Created an AWS cloud pipeline to predict energy consumption from historical data, with batch processing under 5 seconds.
  • Delivered fully automated AI pipelines managing to stay within a budget of $500/month through optimizing resource allocation.
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Python DeveloperIndividual client projects
May 2022 - August 2022
Automation
Russia
Python
  • Reduced CGI scene creation by 75% time through custom automation add-ons and building reusable procedural geometry and computer vision tools.
  • Completed projects an average of 20% ahead of schedule by demonstrating strong collaboration skills and effective communication with a cross-functional team of up to 5 professionals.
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Python DeveloperIndividual client projects
October 2021 - May 2022
Automation
Belgium
Python
  • Worked independently to automate 90% of Audio/Video system operations, significantly reducing the need for on-site support.
  • Set up low-latency networks and developed control systems, ensuring 100% uptime for media art installations.
  • Worked closely with a remote team within a friendly and inclusive environment.
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Mikhail's cases
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