Богдан

BOHDAN PUHACHUK
Email: [открыть контакты](см. выше в блоке «контактная информация») Mobile: [открыть контакты](см. выше в блоке «контактная информация») Telegram: @Pah0m4k

Education

National Technical University of UkraineKyiv, UA
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• Bachelor of Science in Energy "Renewable Energy Sources" Sept. 2020 – June 2024
• Master's Degree in Management "Management of International Business" Sept. 2024 – Jan 2026

Experience
Freelance AI Automation Developer Apr. 2024 – July 2025
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• Collaborated with 6 companies of different sizes, providing A full cycle of automations: from a brief to a production release and subsequent support.
• Independently designed and evaluated ideas, offering the best options instead of impractical solutions.
• Created and documented about 30 workflows for business.
• Launched more than 40 automation solutions that were actually used by customers.

AI Automation Specialist — N5Bank Jul 2025 – Oct 2025
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• Engineered AI-driven automation systems connecting content generation, document workflows, and voice interaction into unified pipelines.
• Developed a custom AI Voice Assistant using ElevenLabs, performing voice cloning and contextual response generation — integrated with backend modules for natural user communication.
• Built a full-cycle LinkedIn & Instagram auto-posting system powered by Gemini API, automating creative generation (visual + caption) and scheduling, streamlining social media workflows.
• Implemented document processing and digital signing automation via DocuSign using Python-based integrations, including form data ingestion, dynamic template filling, signature flow orchestration, and backend system synchronization.
• Implemented an AI-based KYC face recognition system using Computer Vision and YOLO models for face detection and verification, including dataset preparation, annotation, model fine-tuning, and production deployment via FastAPI.
• Developed an automated financial document processing pipeline using OCR and LLM-based structured data extraction, enabling reliable parsing and validation of invoices and financial documents with integration into backend business workflows.
• Designed and deployed containerized ML and LLM inference services, including model versioning and API-based access, leveraging Docker, Git, and CI/CD principles to support scalable and maintainable production usage.
• Acted as a technical owner and project lead for AI and automation initiatives, independently defining technical solutions, communicating directly with company leadership and founders, prioritizing tasks based on business KPIs, and delivering end-to-end implementations with minimal supervision.

Skills & Tools
Automation & Integrations
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• n8n (preferred due to flexibility and scalability), Make, Flowise.
• Extensive API integration experience, including Meta Graph API, Telegram Bot API, Google Cloud API, Slack API, Discord API, Notion API, Airtable API, Stripe API, OpenAI API, and Gemini API.
• Confident working with any platform offering API keys and webhooks, handling authentication, data exchange, and custom triggers.
• Practical experience with MCP and RAC agents, integrating modular AI components into workflow systems.

AI & ML Systems
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• Fundamental understanding of Machine Learning concepts, including data preprocessing, feature engineering, model training, evaluation, and deployment.
• Practical experience in Computer Vision, including building YOLO-based pipelines for Object Detection, Instance Segmentation, Pose Detection, and related vision tasks, with hands-on experience using YOLOv8 and YOLOv11.
• End-to-end experience with Computer Vision workflows: dataset collection, data annotation and segmentation, model training, fine-tuning, and deployment of CV models into production environments.
• Basic proficiency with PyTorch for training, fine-tuning, and adapting Machine Learning models, as well as integrating ML, Computer Vision, and LLM solutions into business-oriented systems.
• Practical use of LangChain for building custom AI agents, designing agent logic, tool orchestration, and structured reasoning pipelines.
• Deployment of LLM and AI agent services via FastAPI, exposing inference and agent endpoints for secure usage through API keys.

Soft Skills
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• Strong analytical and system-level thinking.
• Excellent communication and cross-team collaboration (Dev, Backend, Design).
• Rapid learning ability — capable of mastering new tools, APIs, and architectures within days.
• Research & Analytical Thinking — continuously track AI-industry trends, model updates, and tool releases; leverage this knowledge to identify automation opportunities and integrate cutting-edge technologies into workflows.

Programming Skills and Certifications

• Strong proficiency in Python for backend and AI/ML development, including API-driven backend architecture, service design, and production-ready implementations using FastAPI and Flask, as well as practical use of core ML and data libraries (Pandas, NumPy, PyTorch) for data processing, model training, fine-tuning, and inference workflows.
• JavaScript experience focused on automation and integrations, including custom nodes, API scripting, and workflow logic primarily within n8n-based systems.
• DevOps practices, including Docker, Git / GitHub, understanding of CI/CD, and basic knowledge of Kubernetes-based deployments.

• Java Backend Development -- Prog.Academy
• applied AI research & collaboration -- AI Community Program
• n8n: AI Agents, Automation & Voice Systems
• Machine Learning Specialization — DeepLearning.AI & Stanford University
(including Advanced Learning Algorithms, Unsupervised Learning, Recommenders & Reinforcement Learning)
• Hugging Face — Fine-Tuning and Large Language Models Courses