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Software Engineer
🚀 Welcome to my LinkedIn profile! I'm a dynamic and results-driven Full Stack Developer with a passion for building innovative, high-performance solutions that leverage cutting-edge AI and web technologies.
🛠️ Technical Proficiency:
JavaScript & Frameworks: Expert in JavaScript and modern frameworks (Vue.js, Svelte, React), crafting responsive and intuitive front-end experiences.
Node.js: Skilled in developing scalable, efficient server-side applications using Node.js, powering robust backend systems.
AI & Machine Learning Integration: Proficient in integrating AI APIs (e.g., OpenAI API) to build intelligent applications. Experienced with Retrieval-Augmented Generation (RAG) for enhancing LLM outputs with contextual data, and LangChain for creating sophisticated AI-driven workflows. Adept at leveraging vector databases, prompt engineering, and fine-tuning to deliver tailored AI solutions.
Tools & Frameworks: Comfortable with Docker, Flask, and PostgreSQL, ensuring seamless deployment and data management in AI and web projects.
💡 Key Strengths:
Problem-Solving: I excel at tackling complex challenges, from optimizing AI model performance to debugging intricate full-stack systems. My analytical mindset ensures elegant, scalable solutions.
Collaboration: A team player who thrives in cross-functional environments, I communicate effectively and embrace diverse perspectives to drive project success.
Continuous Learning: In the fast-paced world of tech, I stay ahead by mastering emerging trends like generative AI, natural language processing (NLP), and MLOps, ensuring I deliver state-of-the-art solutions.
📈 Career Goals:
I’m driven to create impactful solutions by combining my full-stack expertise with AI innovation. My focus is on harnessing large language models (LLMs), AI orchestration, and cloud-native development to solve real-world problems. I’m eager to join forward-thinking teams where I can contribute to transformative projects.
🎸 When I’m not coding, you’ll find me shredding guitar with my band, perfecting my throw on the disc golf course, or catching the latest MMA bouts.
Let’s connect! Reach out to discuss AI-driven projects, full-stack opportunities, or to book a chat via my Calendly: https://calendly.com/theospielman/30min
- Contract assignment through Mondo Partners, supporting the Hearst Corporation. - Reverse-engineered a semantic backend schema from 12,000+ XML output files generated by an established product, delivering full compatibility and LLM-optimized structure—navigating legacy constraints without direct MSSQL access via pattern-driven analysis. - Designed a robust PostgreSQL database architecture, harnessing native enum/JSONB support, intuitive commenting for enhanced maintainability, and extensibility for AI-driven queries, creating a more agile and future-proof alternative to the original system. - Orchestrated AI-powered XML analysis with Claude Code CLI, ChatGPT, and Roo Code on Amazon Bedrock for multi-model insights; generated element-level metrics, iterative schema drafts, and detailed ERDs to accelerate backend development and ensure semantic fidelity.

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- Leveraged LangGraph to modularize and orchestrate dynamic LLM workflows, streamlining multi-step user input processing for generating detailed user profile descriptions - Utilized Pydantic to serialize, validate, and enable a generic API for multi-model compatibility, facilitating seamless integration of various LLMs in profile generation pipelines - Employed OpenAIEmbeddings to tokenize user inputs and embed them in a Pinecone vector database, powering a RAG system with semantic search to enhance profile relevance and context - Built market-ready MVP , migrating Python/Flask backend to Node.js/Express with enhanced API functionality - Developed React/Tailwind front-end and Postgres database for users, bookings, and reviews
- Utilized Ionic Vue to compose performant, cross-platform components with adaptive styling - Collaborated on UX/UI design, translating wireframes into visually appealing interactive components - Developed customizable medical history tables and patient rosters using AG Grid for efficient data organization - Created framework-agnostic web components with Stencil for shared use across web and desktop applications - Contributed to desktop app MVP built with Svelte/Electron
- Contract assignment through MBO Partners, supporting PwC. - Employed Node, Express, and React to expose data and auto-populate common workflow fields - Utilized Azure Functions to create a cross-platform user notifications service - Implemented role/permission-based file access - Orchestrated services with Kafka-based event-driven architecture - Wrote code to permit custom ordering of response properties for improved readability - Migrated new functionality to existing workspaces through extensive Node scripting - Streamlined document organization and access for both internal teams and clients, improving efficiency and ensuring secure, engagement-specific file management using industry-standard tools like SharePoint.
- Contract assignment through Insight Global, supporting PG&E. - Contributed to the codebase for several apps related to the maintenance of critical California energy infrastructure - Implemented support for new digital documents including pollers, formatters, and routers - Wrote Node scripts to sync data between SAP and Couchbase - Employed Terraform to manage AWS - Collaborated directly with users to better understand their workflow and remove challenges - Automated generation of release documentation and approval requests with Selenium and then Puppeteer