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Maksym Kolesnyk

Offer Maksym work on your next project.

Ukraine Kyiv, Ukraine
1 month 29 days back
Available for hire available for hire
on the service 2 years

Rating

Successful projects
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Average rating
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Rating
216
AI & Machine Learning
378 place out of 2836
Javascript and Typescript
1146 place out of 3449

Skills and abilities

Portfolio


  • 564 USD

    Technical validation and analysis of the acoustic radar AERIS-10

    Engineering
    Implemented:
    • Calculation of radar equation (7-13× range overestimation detected)
    • BOM component analysis ($5.7k-$11.4k estimate)
    • FPGA discrepancy check (XC7A50T vs claimed XC7A100T)
    • Assessment of manufacturing feasibility
    • Python range calculator with realistic RCS
    Critical conclusions:
    • Nexus version: 0.4-0.7km actual range vs 3km claimed
    • Extended version: 1.6-2.8km actual vs 20km claimed
    • FPGA has 50% less capacity than documented

    Technologies: Python, NumPy, Radar equations, RF engineering, BOM analysis

    Category: Architecture and engineering > Electronics
  • 451 USD

    Comprehensive market research of suppliers

    Information Gathering
    Implemented:
    • Automated search and contact intelligence (LinkedIn, Hunter.io, Apollo)
    • Email campaigns with personalized RFQ (3-touch follow-up)
    • Smart bounce handling (hard/soft/OOO detection)
    • Analysis of competitive offers and MOQ
    • Supplier database with price history
    Real results (March 2026):
    • Neodymium magnets: 25 suppliers, $0.125/unit best price
    • Fiber optic components: complete market analysis
    • 60% response rate achieved
    • HREE-free formula discovered (30 days lead time savings)

    Technologies: Python, Gmail API, Claude AI, Hunter.io API, LinkedIn

    Category: Outsourcing and consulting > Outsourcing
  • 406 USD

    Automated project monitoring and selection system

    Javascript and Typescript
    Implemented:
    • Connection to FreelanceHunt API v2 with authentication
    • Filtering projects by skills, budget, and categories
    • AI analysis of project requirements matching freelancer profile
    • Automatic proposal generation with AI assistance
    • WhatsApp notifications for new relevant projects
    • Statistics and analytics on projects

    Technologies: Python, REST API, Claude AI, OAuth, JSON, WhatsApp Integration

    Status: In development (2026-03-15), testing API endpoints
  • 406 USD

    Intelligent email communication automation system with AI

    AI & Machine Learning
    Implemented:
    • Automatic monitoring of Gmail (labels, filters, search queries)
    • AI analysis of email content and classification by categories
    • Generation of responses based on context and history
    • Batch operations (mass labels, archiving, filtering)
    • Integration with Google Calendar and Google Drive
    • WhatsApp notifications for important emails

    Technologies: Python, Gmail API, Google Calendar API, Claude AI, OAuth2

    Result: Processing 100+ emails per day, 90% automation of routine tasks
  • 271 USD

    Automatic analysis and comparison system of 3D models in format

    Engineering
    Implemented:
    • Automatic parsing of STEP files (up to 26MB)
    • Extraction of geometric parameters (dimensions, volume, surface area)
    • Comparison of components between different versions of models
    • Generation of detailed technical reports in Markdown format
    • Analysis of component compatibility

    Technologies: Python, FreeCAD, OpenSCAD, CadQuery

    Example: Analysis of industrial fan GL-B250B-EC-31 (15 components, 251K entities)
  • 338 USD

    Development of a system for autonomous code evolution with a 5-level system

    Python
    Implemented:
    • Sandbox isolation for safe testing of changes
    • Risk classification (LOW/MEDIUM/HIGH/CRITICAL)
    • 5 validation gates (syntax, dependencies, compatibility, security, performance)
    • Rate limiting with adaptive limits (5-7 evolutions/day)
    • Human oversight with automatic WhatsApp reports

    Technologies: Python, Git, YAML, Bash, JSON

    Result: 100% validation success, 0% errors in production, 23 evolutions completed successfully