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Financial Decision Intelligence Platform — Multi-Agent Risk Analysis
Multi-agent platform (LangGraph) that ingests SEC 10-K filings via XBRL extraction, runs Altman Z-Score and Piotroski F-Score risk models, and generates investment committee reports. Pipeline includes RAG-based risk retrieval (FAISS + Sentence Transformers), XGBoost ML inference, and Gemini API report generation — served through a FastAPI backend with /analyze, /compare, and /report endpoints for multi-company investment ranking.
Stack: Python, LangChain, LangGraph, FAISS, XGBoost, FastAPI
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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10 seconds of a hero we're designing & building.
everything is choreographed; the shell scaling in, the phone settling, and a custom webgl depth reveal.
we built it custom for one reason; the same effect lives in the brand's motion videos (That we are also working on).
goal is: brand should speak the same language everywhere and look good doing it :)
very good work, nice and clean
Most businesses don't need more employees. They need better AI systems.
Every week, I see businesses spending hours on repetitive tasks that could be automated.
Imagine if your business could
Save 20+ hours every week
Automate repetitive workflows
Launch AI-powered web applications
Build custom AI agents
Scale without increasing operational costs
That's exactly what I build.
I help startups and businesses transform ideas into scalable AI products using modern technologies like Claude Code, Cursor, Bolt.new, Lovable, Supabase, Next.js, and intelligent automation.
Whether you're building an MVP or replacing manual processes with AI, the goal is simple:
Save time. Increase efficiency. Scale faster.
If you're building something ambitious, I'd love to help.
Well said. AI delivers the most value when it removes repetitive work and frees people to focus on higher-impact tasks, not just by automating processes, but by improving how the business operates overall.
3 things I’ve learned from building digital products:
1️⃣ Keep the experience simple.
2️⃣ Solve a real problem before adding more features.
3️⃣ Listen to users—great products are built around people.
What’s one lesson you’ve learned while building something? 👇:
