Profile
AI Software Developer with experience building LLM-powered business applications, internal AI platforms, and automation tools. Skilled in full-stack development, agent-based workflows, RAG systems, and spec-driven development. Experienced in turning business problems into practical software solutions using modern web technologies, cloud services, and AI frameworks.
Professional Experience
AI Software Developer
Worked on a suite of AI and software applications that improved business workflows, content generation, sales support, requirements engineering, and internal productivity tools.
AI Coding Agents & MCP-Based Tooling
- Built internal AI coding-agent workflows for coding, testing, debugging, and task automation.
- Developed MCP-based tools and agents, including end-to-end testing agents, bug-fixing agents, orchestrator agents, and agent skills for structured task execution.
- Applied research-driven and spec-driven development by preparing requirement files, tool specifications, and implementation plans before building new agent tools.
Tech stack: MCP, AI Agents, Tool Calling, Agent Orchestration, Prompt Engineering, Spec-Driven Development, Cursor, Git, TypeScript, Python
Omega - Internal AI Application Platform
- Contributed to Omega, a platform that centralizes AI Chat, Sales Assistant, Requirements Generator, and other business applications into one interface.
- Worked on full-stack implementation, platform structure, backend integrations, and deployment-ready architecture to improve access to AI-powered workflows.
Tech stack: Next.js, TypeScript, React, Tailwind CSS, Supabase, Vercel, Git, Cursor
Sales Agent / Offer Generation System
- Built the backend service for an AI-assisted sales workflow that helped teams create customer-specific offer documents after client discussions and document uploads.
- Implemented an API-based offer-generation service that received structured chat data, generated customized offer packages, secured communication with JWT, and returned shareable offer links.
Tech stack: Next.js, TypeScript, Node.js, JWT, REST APIs, HTML generation, Git
AI-Powered Requirements Engineering Tool
- Improved a web application that generated structured Software Requirements Specifications from audio recordings, meeting notes, and uploaded documents.
- Refactored the data-access layer, reduced the codebase by 54%, and improved maintainability and batch-processing reliability.
- Used spec-driven development practices by preparing requirements files and implementation plans before building or modifying features.
Tech stack: Next.js, TypeScript, Tailwind CSS, LangChain, Azure OpenAI, MongoDB Atlas Vector Search, AWS S3, Git
AI Social Media Content Generator
- Developed and stabilized a content automation application that transformed audio recordings and source documents into structured blog articles and social media posts.
- Worked across frontend and backend, fixed a critical export issue that generated empty files, and improved the reliability of the application's data flow.
Tech stack: Next.js, TypeScript, Tailwind CSS, Azure OpenAI, MongoDB Atlas Vector Search, AWS S3, Git
Software Developer
Built scientific data processing and analytics tools in Python, supporting experimental data transformation, interactive signal comparison, and deployment of internal applications for non-technical users.
Analytics Software Productization & Deployment
- Converted an internal Python analytics application into a production-oriented tool for non-technical users.
- Packaged the application as a standalone executable, handled dependency and runtime stability, and improved accessibility for organization-wide usage.
Tech stack: Python, pandas, Git, PyInstaller, Excel
Interactive Signal Comparison Platform
- Designed and developed a GUI-based analytics application for exploring and comparing scientific measurement data.
- Separated data handling, analysis logic, and user interface layers, enabling context-sensitive filtering and interactive human-in-the-loop analysis of experimental signals.
Tech stack: Python, PyQt, NumPy, pandas, Matplotlib, Git
Automated Scientific Data Pipeline
- Reverse-engineered semi-structured .mca spectrometer files and developed a Python parser to extract time-series and signal parameters.
- Cleaned and validated raw experimental data, then transformed measurements into structured Excel datasets for further analysis.
Tech stack: Python, NumPy, pandas, Excel, Git
Master Thesis - AI Developer
Developed AI-supported business automation solutions for information retrieval, document processing, trend analysis, decision support, and internal workflow optimization.
Multi-Agent AI System for Trend Analysis
- Developed a GPT-based multi-agent system for trend analysis, information retrieval, document summarization, and AI-supported decision-making.
- Designed agent roles, optimized prompts, and integrated the solution into Microsoft 365 / Power Platform environments.
Tech stack: Python, AutoGen, Azure OpenAI / GPT, Microsoft Graph API, SQL, Prompt Engineering
Internal Business Process Automation Platform
- Built automation solutions for product data management and internal workflows using Power Apps, Power Automate, SharePoint, SQL Server, Python, and subprocess automation.
- Reduced manual workload by 60% and supported internal users with documentation and onboarding materials.
Tech stack: Power Apps, Power Automate, SharePoint, SQL Server, Python, Microsoft 365