I’m a Full Stack AI Engineer with a strong interest in Machine Learning, Deep Learning, and Generative AI. I enjoy building end-to-end applications that combine modern web technologies with intelligent AI solutions. I have experience developing scalable web applications, integrating large language models (LLMs), building AI agents, and creating production-ready APIs that power real-world AI products. I continually expand my expertise in ML/DL, computer vision, natural language processing, and AI system design.…

Larry Margerum

I’m a Full Stack AI Engineer with a strong interest in Machine Learning, Deep Learning, and Generative AI. I enjoy building end-to-end applications that combine modern web technologies with intelligent AI solutions. I have experience developing scalable web applications, integrating large language models (LLMs), building AI agents, and creating production-ready APIs that power real-world AI products. I continually expand my expertise in ML/DL, computer vision, natural language processing, and AI system design.…

Available to hire

I’m a Full Stack AI Engineer with a strong interest in Machine Learning, Deep Learning, and Generative AI. I enjoy building end-to-end applications that combine modern web technologies with intelligent AI solutions.

I have experience developing scalable web applications, integrating large language models (LLMs), building AI agents, and creating production-ready APIs that power real-world AI products. I continually expand my expertise in ML/DL, computer vision, natural language processing, and AI system design.

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Work Experience

Full Stack AI Engineer at N-iX
February 1, 2024 - June 1, 2026
Designed and developed 4 AI-powered SaaS platforms using React, Next.js, FastAPI, and Python. Built Retrieval-Augmented Generation (RAG) pipelines with vector databases, improving retrieval accuracy by 27%. Developed AI agents to automate document processing, reducing manual effort by 65%. Optimized backend services to handle 120,000+ API requests per month while maintaining 99.9% availability. Reduced inference costs by 22% using prompt optimization, caching, and asynchronous processing. Mentored 2 junior developers and participated in architecture reviews.
Full Stack Developer at Synebo
September 1, 2022 - December 1, 2023
Delivered 8+ enterprise web applications using React, Node.js, TypeScript, and PostgreSQL. Reduced frontend load time by 35% through code splitting and performance optimization. Built APIs processing 50,000+ monthly requests. Increased automated test coverage from 55% to 88%. Reduced deployment time by 40% using Docker and GitHub Actions.
AI Engineering Intern at Brainly
June 1, 2022 - August 1, 2022
Developed an AI-powered learning assistant using Python, FastAPI, React, and OpenAI APIs, reducing response latency by 30%. Built REST APIs supporting 10,000+ daily requests. Improved prompt engineering strategies, increasing answer relevance by 18%. Collaborated with a cross-functional agile team of 6 engineers and achieved 92% unit test coverage for backend modules.

Education

Bachelor's Degree in Computer Science at AGH University of Krakow
October 1, 2020 - July 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Computers & Electronics, Education, Professional Services
    AI Document Intelligence

    • Processed more than 12,000 invoices, contracts, and PDF documents during testing.
    • Achieved 96% extraction accuracy using OCR combined with LLM-based validation.
    • Reduced manual document processing effort by 65% through workflow automation.
    • Built an intelligent document classification system supporting 10+ document categories.
    • Delivered AI-generated summaries in an average of 3.5 seconds.

    Full Stack AI SaaS Platform

    • Built a production-ready SaaS platform serving 2,000+ registered users.
    • Integrated 6 AI-powered productivity tools, including chat, summarization, document analysis, and code assistance.
    • Maintained 99.9% application availability through automated deployment and health monitoring.
    • Reduced infrastructure costs by 22% using response caching, optimized prompts, and background task processing.
    • Implemented CI/CD pipelines that shortened deployment time by 45% while improving release reliability.
    • Developed secure authentication, subscription billing, and role-based access control to support scalable multi-user environments.