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aidan.giordano

about.me

aidan.jsonsession aidan_0012026-06-03
{
  "name": "aidan giordano",
  "role": "software developer @ wiss",
  "based": {
    "city": "new york",
    "region": "NY",
    "country": "US",
    "tz": "America/New_York",
    "coords": [40.7128, -74.006]
  },
  "school": {
    "degree": "BS computer science",
    "at": "Stevens Institute of Technology",
    "class": 2025
  },
  "focus": ["agents", "data", "ux"],
  "stack": {
    "languages": ["typescript", "python", "c#"],
    "web": ["next.js", "react", "tailwind"],
    "ai": ["langchain", "langgraph", "openai", "anthropic", "vector dbs"],
    "platforms": ["palantir foundry", "azure"]
  },
  "currently": {
    "shipping_at": "wiss & company",
    "doing": "internal tools, workflow automation, cloud solutions",
    "side_projects": [
      "ticker — market intelligence for live events",
      "agents for anything"
    ]
  },
  "previously": [
    {
      "where": "fintech startup",
      "did": "market-insight tools, data pipelines, alerting"
    },
    {
      "where": "academic research lab",
      "did": "prototype ai for sec filing analysis"
    }
  ],
  "interests": ["hiking", "skiing", "sketching", "vertical saas", "live music"],
  "reading": "source code",
  "elsewhere": {
    "github": "AidanGio",
    "x": "AidanGior",
    "linkedin": "aidangior",
    "email": "aidanrgiordano@gmail.com"
  }
}
data above. prose below.

bio · prose

Computer Science graduate from Stevens Institute of Technology and Junior Software Developer at Wiss & Company. I build software, automation, and applied-AI solutions that turn manual, high-friction workflows into scalable systems. My work focuses on helping teams operate more efficiently, reduce risk, and make better use of data through practical engineering.

At Wiss, I work across Python, TypeScript, C#, Palantir Foundry, Power Platform, and Azure to build internal tools, workflow automation, and cloud solutions that support real business needs. I'm especially interested in creating systems that simplify complexity and deliver measurable operational impact.

Before Wiss, I worked in both research and startup environments. In an academic lab, I helped prototype an AI system for faster SEC filing analysis. At a fintech startup, I contributed to tools that surfaced market-moving insights in real time, improved data pipelines, and automated alerts for end users.

Outside of my day job, I'm building projects of my own, including a ticket market intelligence platform for live events and tools for local service businesses. I'm especially interested in AI, automation, vertical SaaS, and software that solves real operational problems.

When I'm not coding, I'm usually hiking, skiing, or sketching out the next idea. Always happy to connect with people building useful products, modernizing workflows, or exploring practical applications of technology.