// hello, world. i'm

Aryan Jaiswal

I build

Entry-level SDE obsessed with AI-native systems, distributed architecture, and making machines do the heavy lifting. Currently crafting AI-driven platforms at Morgan Stanley.

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01

About

I'm a recent 2026 CS undergrad who stumbled into the rabbit hole of agentic AI and never looked back. I spend my days building systems that think โ€” RAG pipelines, MCP servers, LLM orchestration layers โ€” and my nights wondering why the build still doesn't pass.

My stack revolves around Java + Spring Boot on the backend, with a growing appetite for AI tooling. I care about clean abstractions, observable systems, and code that a future-me won't hate.

Outside of terminals and PRs, I'm probably debugging something that worked fine yesterday.

๐ŸŽ“

Maharishi Markandeshwar University

B.Tech โ€” Computer Science & Engineering

Sep 2022 โ€“ May 2026  ยท  CGPA: 8.20

Ambala, HR

Available for opportunities
02

Skills

โš™ Core Languages
Java SQL OOP
๐Ÿ”ง Frameworks & Tech
RESTful APIs Spring Boot Spring AI LangChain4j
๐Ÿค– AI Concepts
Generative AI Agentic AI MCP RAG Pipelines LLM Orchestration Prompt Engineering
๐Ÿ›  AI Tools
Claude Code GitHub Copilot ChatGPT Codex
๐Ÿ—„ Databases & Caching
PostgreSQL MySQL MongoDB Redis
๐Ÿ“ CS Concepts
DSA System Design Computer Networks Operating Systems
03

Experience

Morgan Stanley

Technology Apprentice

Aug 2025 โ€“ Present Mumbai, India
  • Architected and deployed an AI-driven operations platform and MCP servers exposing 10+ production-grade tools using Spring AI and LangChain4j โ€” reduced manual monitoring by 70% and improved issue response time by 50%.
  • Led migration from Java 17 โ†’ 21 and Spring Boot 2.x โ†’ 3.4.6, achieving a 45% increase in the project's freshness score.
  • Resolved a long-standing production issue by redesigning portfolio trade processing with batch-based handling, eliminating memory pressure for high-volume datasets.
  • Designed an on-demand recalculation API and built a Grafana dashboard to track failed triggers, enhancing observability and accelerating incident resolution.
  • Built regression frameworks comparing blue/green snapshots and CPS vs. database state โ€” a repeatable safety net before every deployment.

HeyEV! (Delovita Services Pvt. Ltd.)

Full Stack Intern

May 2025 โ€“ Jul 2025 Remote
  • Built the firm's Loan Origination System (LOS) using React.js and Tailwind CSS โ€” reduced document creation effort by over 50% vs. manual workflows.
  • Migrated backend from Golang โ†’ Node.js to unify the tech stack, optimised PostgreSQL queries, and shipped critical bug fixes.
04

Projects

BroCode

A full-featured AI chat platform with real-time token streaming, two-tier session caching (Redis in prod / in-memory locally), and a structured LLM persona engineered to resist prompt injection.

  • Two-tier session architecture: Redis (prod) + in-memory (dev) via Spring @Profile
  • Real-time streaming via Server-Sent Events + Project Reactor Flux with optimistic UI
  • Extensible Agent abstraction โ€” chat, tool-use, and hybrid execution modes
  • Deployed on Render ยท Upstash ยท MongoDB Atlas ยท Vercel via Docker
Java Spring Boot React.js MongoDB Redis Google Gemini
05

Contact

I'm actively looking for entry-level SDE / AI roles. If you're building something interesting โ€” let's talk.