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Python developer, AI Engineer
- Considering positions:
- Python developer, AI Engineer, Python-програміст, AI-інженер
- Age:
- 19 years
- City:
- Vinnytsia
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AI Engineer / ML Engineer / Automation Engineer
Andrii Avramenko
Email: andrijavramenko10gmail.com | Location: Europe / Remote
PROFESSIONAL SUMMARY
AI Engineer / AI Integrator with 2 years of hands-on experience building and deploying AI-
powered solutions using Python, LangChain, OpenAI API, RAG pipelines, vector databases,
Docker, and ML frameworks. Delivered 10+ AI products including NLP assistants,
recommendation engines, CV-based automation systems, and intelligent workflow tools.
Experienced in integrating LLMs into production-ready business processes, optimizing
inference pipelines, and automating repetitive operations with measurable efficiency gains up
to 45%.
CORE SKILLS
• Python
• Machine Learning
• OpenAI API / LLM Integration
• LangChain / LangGraph
• RAG Architecture
• Vector Databases (FAISS, Pinecone, Chroma)
• NLP Systems
• Computer Vision (OpenCV, YOLO)
• Docker / Containerized Deployment
• FastAPI / Flask
• PostgreSQL / MongoDB
• Prompt Engineering
• AI Automation Workflows
• Git / CI/CD
PROFESSIONAL EXPERIENCE
AI Developer / AI Integrator
Freelance / Commercial Projects | 2024 – Present
• Developed and deployed 10+ AI-driven applications, including NLP assistants,
recommendation systems, and CV recognition pipelines.
• Built 4 RAG-based enterprise knowledge assistants, reducing internal search time
by 40%.
• Integrated OpenAI and LangChain pipelines into production workflows serving up to
5,000+ monthly user interactions.
• Designed recommendation engines that improved content relevance accuracy by
30%+.
• Implemented computer vision modules for object detection and document recognition
using YOLO/OpenCV.
• Automated client business workflows, reducing manual repetitive tasks by 45%.
• Containerized AI systems with Docker, decreasing deployment setup time by 60%.
AI/ML Intern
Internship Experience | 2023 – 2024
• Assisted in building NLP pipelines for text classification and semantic search.
• Fine-tuned ML models for domain-specific data extraction tasks.
• Participated in development of chatbot prototypes using LLM APIs.
• Improved preprocessing pipeline speed by 25% through optimization scripts.
SELECTED PROJECTS
AI Knowledge Assistant (RAG)
• Built intelligent document Q&A system using LangChain + OpenAI + ChromaDB.
• Indexed 50,000+ knowledge entries with semantic retrieval.
Recommendation Engine Platform
• Designed personalized recommendation engine using embeddings + ranking models.
• Increased recommendation precision by 32%.
CV Document Recognition Tool
• Developed OCR + computer vision pipeline for automated document parsing.
• Reduced manual processing time by 70%.
NLP Customer Support Bot
• Created multilingual AI chatbot handling automated customer inquiries.
• Resolved up to 65% of first-line support requests without human intervention.
EDUCATION
WSIiZ (Rzeszów, Poland) — Computer Science (2024–2028). Academic foundation in
computer science in an international environment.
Hillel IT School — Python Pro + AI (2024–2025). Practical intensive program focused on
backend architecture and artificial intelligence.
CERTIFICATIONS
• Machine Learning / Deep Learning Courses
• LangChain / LLM Engineering Courses
• OpenAI API Integration Workshops
LANGUAGES
• Ukrainian — Native
• English — Intermediate / Upper-Intermediate
ATS KEYWORDS INCLUDED
AI Engineer, ML Engineer, Python Developer, LangChain, OpenAI API, RAG, Vector Database,
NLP Engineer, Computer Vision, Docker, Automation Engineer, Machine Learning Deployment
Andrii Avramenko
Email: andrijavramenko10gmail.com | Location: Europe / Remote
PROFESSIONAL SUMMARY
AI Engineer / AI Integrator with 2 years of hands-on experience building and deploying AI-
powered solutions using Python, LangChain, OpenAI API, RAG pipelines, vector databases,
Docker, and ML frameworks. Delivered 10+ AI products including NLP assistants,
recommendation engines, CV-based automation systems, and intelligent workflow tools.
Experienced in integrating LLMs into production-ready business processes, optimizing
inference pipelines, and automating repetitive operations with measurable efficiency gains up
to 45%.
CORE SKILLS
• Python
• Machine Learning
• OpenAI API / LLM Integration
• LangChain / LangGraph
• RAG Architecture
• Vector Databases (FAISS, Pinecone, Chroma)
• NLP Systems
• Computer Vision (OpenCV, YOLO)
• Docker / Containerized Deployment
• FastAPI / Flask
• PostgreSQL / MongoDB
• Prompt Engineering
• AI Automation Workflows
• Git / CI/CD
PROFESSIONAL EXPERIENCE
AI Developer / AI Integrator
Freelance / Commercial Projects | 2024 – Present
• Developed and deployed 10+ AI-driven applications, including NLP assistants,
recommendation systems, and CV recognition pipelines.
• Built 4 RAG-based enterprise knowledge assistants, reducing internal search time
by 40%.
• Integrated OpenAI and LangChain pipelines into production workflows serving up to
5,000+ monthly user interactions.
• Designed recommendation engines that improved content relevance accuracy by
30%+.
• Implemented computer vision modules for object detection and document recognition
using YOLO/OpenCV.
• Automated client business workflows, reducing manual repetitive tasks by 45%.
• Containerized AI systems with Docker, decreasing deployment setup time by 60%.
AI/ML Intern
Internship Experience | 2023 – 2024
• Assisted in building NLP pipelines for text classification and semantic search.
• Fine-tuned ML models for domain-specific data extraction tasks.
• Participated in development of chatbot prototypes using LLM APIs.
• Improved preprocessing pipeline speed by 25% through optimization scripts.
SELECTED PROJECTS
AI Knowledge Assistant (RAG)
• Built intelligent document Q&A system using LangChain + OpenAI + ChromaDB.
• Indexed 50,000+ knowledge entries with semantic retrieval.
Recommendation Engine Platform
• Designed personalized recommendation engine using embeddings + ranking models.
• Increased recommendation precision by 32%.
CV Document Recognition Tool
• Developed OCR + computer vision pipeline for automated document parsing.
• Reduced manual processing time by 70%.
NLP Customer Support Bot
• Created multilingual AI chatbot handling automated customer inquiries.
• Resolved up to 65% of first-line support requests without human intervention.
EDUCATION
WSIiZ (Rzeszów, Poland) — Computer Science (2024–2028). Academic foundation in
computer science in an international environment.
Hillel IT School — Python Pro + AI (2024–2025). Practical intensive program focused on
backend architecture and artificial intelligence.
CERTIFICATIONS
• Machine Learning / Deep Learning Courses
• LangChain / LLM Engineering Courses
• OpenAI API Integration Workshops
LANGUAGES
• Ukrainian — Native
• English — Intermediate / Upper-Intermediate
ATS KEYWORDS INCLUDED
AI Engineer, ML Engineer, Python Developer, LangChain, OpenAI API, RAG, Vector Database,
NLP Engineer, Computer Vision, Docker, Automation Engineer, Machine Learning Deployment
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