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Mikhail

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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.

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AI DeveloperHire Virtuals
Automation
Computer Vision
Procedural Geometry
Network Setup
A/V Installation
Control Systems
Data Engineering
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Mikhail's timeline
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AI EngineerHire Virtuals
October 2024 - February 2025
LLM Operations
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
  • 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
  • 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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