Pavlo Abramyuk
About
Detail
AI Engineer & Full-Stack Developer | GPT, LangChain, Three.js, React, FastAPI
Ivano-Frankivsk Oblast, Ukraine
Résumé
Jobs
verified_user
0% verified
AI EngineerNID TechnologiesDec 2024 - Current (1 year 7 months)Implemented agent-based architectures using LangChain and LangGraph, resulting in 35% improved task completion rates and 40% faster response times. Optimized prompt structures for GPT-4, increasing response accuracy by 42% and reducing token usage by 30% across production applications. Deployed RAG chatbot systems with vector embeddings, reducing support ticket load by 60% while demonstrating analytical problem-solving skills. Fine-tuned LLMs for domain-specific applications using PyTorch, achieving 45% better performance than off-the-shelf models in production environments. Scaled AI solutions through autonomous agent systems, collaboratively leading cross-functional teams to deliver 3 major projects ahead of schedule.- TAI Solutions EngineerTorgsoft,Jan 2023 - Dec 2024 (2 years)Developed AI-powered features using Python and NLP techniques, resulting in 35% improved query response accuracy and 40% reduction in manual processing tasks. Designed and deployed autonomous agent systems with LangChain, reducing customer service response time by 60% while improving solution accuracy by 45%. Optimized prompt engineering strategies for LLMs, enhancing user interface interactions by 30% and decreasing transaction costs across agent-based applications. Fine-tuned PyTorch models for production environments, scaling AI solutions that improved page load times by 45% and Lighthouse scores by 30%. Mentored team on LLM frameworks and Bedrock AI integration, reducing onboarding time by 30% while documenting best practices for AI dep
- CAI-Focused Front-end DeveloperComputools LTD,Jul 2019 - Nov 2022 (3 years 5 months)Developed responsive interfaces with React.js and integrated AI-powered features, resulting in 40% faster user interactions and 65% reduction in manual processing time. Implemented three LLM-powered chatbots using Python and PyTorch, reducing customer service response times by 75% while maintaining 92% user satisfaction. Designed and optimized prompt engineering workflows for autonomous agents, applying analytical thinking to improve response accuracy by 38% across client platforms. Fine-tuned frontend testing protocols with Jest, achieving 95% code coverage while reducing post-deployment issues by 40% through systematic problem-solving approaches. Pioneered adoption of Langchain and LLM frameworks, demonstrating adaptability by self-learni
Education
verified_user
0% verified
- IBachelor's degreeIvano-Frankivsk Professional CollegeAug 2017 - Apr 2021 (3 years 9 months)