name: Satyam Mishra
located_in: Ghaziabad, India
education: B.Tech CSE @ KIET (Final Year — 2027 batch)
current_role: Founder @ TradeGuard AI | MSOC 2026 Alumni @ Mifos Initiative
current_focus: AI-Native Fintech Systems & Multi-Agent AI

fields_of_interest:
  - AI-Native Backend Engineering
  - Multi-Agent AI Systems
  - Algorithmic Trading & Quantitative Finance
  - Distributed Systems & Microservices
  - Open Source Fintech

learning:
  - Spring AI & LangChain4j
  - MCP Protocol
  - Agentic AI Development
  - Advanced DSA (LeetCode/Codeforces)

2026_goals:
  - Ship TradeGuard AI V6
  - Backend role at a tier-1 fintech
  - Contribute to Mifos post-MSOC
  - Build toward AI-native hedge fund dev career

• ✅ MSOC 2026 Alumni — Mifos Initiative · 1 of 4 interns selected globally · Star Contributor · Built CB-ILD, a credit-bureau compliance microservice for Mexican financial institutions · 8 PRs merged · Co-authored IEEE INDICON 2026 paper
• 🚀 Founder: TradeGuard AI — AI-native fintech startup · Pitched at GIFT City IFIH FinTech Hackathon · Building toward AI-native hedge fund infrastructure
• 🌱 Learning: Spring AI tool calling → LangChain4j → MCP Protocol → Agentic AI
• 🤝 Contributing to: Mifos Initiative post-MSOC
• 💬 Ask me about: Java, Spring Boot, Microservices, Multi-Agent AI, Algorithmic Trading
• 📝 I write on: Medium
• ⚡ Fun fact: Training daily for an AI-native hedge fund career — algorithms meet autonomous intelligence

Credit Bureau Information Lifecycle Dashboard — a regulatory-compliance microservice connecting Apache Fineract to Círculo de Crédito (Mexico's credit bureau) under LRSIC / CONDUSEF framework.

🔗 Backend Repo · Final Showcase · Mid-Term Demo

Multi-agent trading copilot — multiple AI models working as a council to deliver institutional-grade intelligence for retail traders.

Pitched at GIFT City IFIH FinTech Hackathon — selected for the Young Builders' Program organized by GIFT IFIH with IFSCA as Strategic Partner. Introduced to the IFSCA Innovation Sandbox — a controlled environment for fintechs to test solutions using market data outside live markets.

"You have 3 minutes. Convince us why it should exist."
We didn't win. The building didn't stop. 🔥

Architecture:

• Multi-model AI council (Claude, Grok, Perplexity, GPT, Gemini)
• Real-time WebSocket streaming via Pusher
• Distributed caching with Upstash Redis
• Clerk authentication with RBAC
• Next.js 14 + Prisma + Supabase PostgreSQL

10 reasoning agents predicting certification-exam failure 6 weeks in advance — built for Microsoft Agents League 2026 (Reasoning Agents track). GitHub ↗

• 🧠 25-rule guardrail pipeline · 4-tier LLM fallback chain · loop-back reasoning · human-in-the-loop gates
• ⚡ Parallel agent execution · token streaming · manager-escalation flow · ROI calculator
• 🔍 Azure AI Search (Foundry IQ) over indexed knowledge base · 44 automated tests
• 🧰 Next.js 14 · FastAPI · Python · GPT-4o

Backend

Frontend

Database & Caching

AI & Data

DevOps & Cloud

public class CareerGoals {
    private String[] targetCompanies = {
        "Goldman Sachs Engineering", "JP Morgan Technology",
        "Juspay", "Razorpay", "PhonePe", "Zerodha"
    };

    private String[] interests = {
        "Backend Engineering Internships",
        "AI-Native Fintech Development",
        "Quantitative Trading Systems",
        "Multi-Agent AI Applications"
    };

    public void collaborate() {
        System.out.println("Always open to interesting projects!");
        System.out.println("Let's build something amazing together.");
    }
}