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Schedule Interview NowMy name is Tymon B. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: React, Next.js, Python, node.js, Database, etc.. I hold a degree in Bachelor of Science (BS), . Some of the notable projects I’ve worked on include: Scalable REST API for E-Commerce Inventory Management, AI Knowledge Assistant with LangChain. I am based in Harker Heights, United States. I've successfully completed 2 projects while developing at Softaims.
I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.
My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.
My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.
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Amazon
Developed a scalable REST API for managing inventory and product data across multiple warehouses. I used Node.js with Express and PostgreSQL to handle complex business logic, including stock level tracking, order fulfillment, and SKU synchronization. The API supports role-based access, pagination, and filtering, and includes full unit and integration test coverage. I also containerized the application with Docker and deployed it to AWS EC2 with CI/CD via GitHub Actions. The system reduced data inconsistencies by 80% and enabled real-time inventory updates across platforms.
Built an AI-powered knowledge assistant using LangChain, OpenAI GPT-4, and a vector database to enable real-time answers from custom documentation. I designed a full RAG pipeline with document chunking, embeddings, and semantic search using Pinecone. The backend was built with FastAPI and integrated with a React-based frontend for seamless UX.
Bachelor of Science (BS) in Computer science
2014-01-01-2017-01-01
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