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1 year of experience
Software Engineer & AI Architect I am a Software Engineer specializing in the development of sophisticated agentic workflows and multi-agent orchestration. With experience in the IT and software development sector, my work focuses on building deterministic, stateful systems using LangGraph, Python, and FastAPI/MCP. I am passionate about moving beyond simple RAG (Retrieval-Augmented Generation) to create autonomous systems that solve complex, real-world problems. Currently, I am exploring the potential of high-performance compute on the AMD stack to push the boundaries of enterprise-ready AI agents.

The Problem: In today’s volatile economy, AI is often perceived as a threat to job security. Massive layoffs across tech giants have left professionals—from parents to new graduates—feeling replaceable. Most existing job tools are passive, leaving users to navigate complex career pivots and resume filtering algorithms entirely on their own. The Solution: Elevate is a production-grade, multi-agent system designed to turn AI into a professional partner. Built using LangGraph for sophisticated stateful orchestration, Elevate functions as a "Career CEO." It doesn't just search for jobs; it actively analyzes a user's professional history, identifies high-value career pivots, and optimizes branding to beat automated tracking systems. Technical Execution: Elevate leverages Gemma 3 for high-efficiency reasoning and is fully architected for the AMD ROCm stack. By utilizing LangGraph, we created a modular system where specialized "spokes" handle distinct tasks like Resume Scoring, Goal Alignment, and Job Matching. We integrated LangSmith for full observability, ensuring every agentic decision is transparent and deterministic. The Vision: Our goal is to democratize elite career coaching. By combining AMD’s high-performance hardware with agentic workflows, Elevate ensures that the next era of AI doesn't just replace jobs—it empowers individuals to elevate their professional journey.
10 May 2026