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iarjunganesh/README.md

Hi ๐Ÿ‘‹, I'm Arjun Ganesh

About

Senior engineer, 13+ years in distributed systems. I build anti-financial-crime systems at a Nordic bank by day, and solo-ship agentic-AI products โ€” and win hackathons โ€” by night.

I care about AI that explains its reasoning, leaves an audit trail, and actually works in production.

  • ๐Ÿฆ Software Engineer @ Swedbank โ€” anti-financial crime & AML
  • ๐Ÿค– Building agentic AI on Azure AI Foundry, A2A, and MCP
  • ๐Ÿงฎ Researching GPU & quantum compute โ€” q1729, the quantum taxicab

Selected Work

๐Ÿ›ก๏ธ ARGUS

Multi-agent compliance intelligence on Azure AI Foundry

Microsoft Agents League โ€” AI Skills Fest 2026 ยท Reasoning Agents track โ†— ๐Ÿ† Winner ยท Hack for Good (1 of 3)

Five specialist AI agents, coordinated over the A2A protocol on Azure AI Foundry, run KYC, AML, and risk screening โ€” every finding grounded in cited regulation via Foundry IQ, every decision backed by a full audit trail. Built solo; one of three Hack for Good winners.

Studied Foundry IQ before building ARGUS, then competed in the Agents League Reasoning Agents track โ€” and won Hack for Good (1 of 3).

Azure AI Foundry Azure OpenAI GPT-4o Foundry IQ Semantic Kernel A2A Azure AI Search Cosmos DB RAG hybrid search MCP Gradio Python 3.11

Repository โ†— ยท Watch demo โ†—

๐Ÿ”Ž DRIFT

Release intelligence for GPU & AI infrastructure

OpenAI Build Week ยท Devpost โ†— Live in production

An agentic pipeline that turns noisy changelogs into cited, bounded, inspectable release briefings for GPU and AI-infrastructure teams โ€” grounded and source-linked, never hand-wavy.

Python 3.14 FastAPI asyncio agents Pydantic 2.13 Next.js 16 React 19 TypeScript PostgreSQL 17 pgvector Vercel Railway

Repository โ†— ยท Watch demo โ†— ยท Live app โ†— ยท API docs โ†— ยท Devpost โ†—

๐Ÿงฎ q1729 โ€” the quantum taxicab

Ramanujan's mathematics meets the NVIDIA stack

Independent research ยท math ร— GPU compute Active research

How fast can a GPU compute ฯ€ โ€” classically, and as a quantum computer? An end-to-end study from consumer RTX to datacenter H100 (CUDA C++ and CUDA-Q/cuQuantum), with an AI layer that writes up what the numbers actually show.

CUDA C++ CUDA-Q cuQuantum NVIDIA NIM Nemotron Python

Repository โ†—

๐Ÿง  Continuum

Durable incident memory for cold-started agents

CockroachDB AI ยท Devpost โ†— In development

Agentic incident-response memory that survives the agent being killed mid-incident โ€” execution state lives in CockroachDB, not process memory, so a cold-started agent resumes from the exact interrupted step.

CockroachDB CockroachDB MCP Amazon Bedrock AWS Lambda Python FastAPI Gradio pytest

Repository โ†— ยท HuggingFace Space โ†—

๐ŸŽฌ Banker's Wrapped

AI-powered financial storytelling

Backblaze Generative Media ยท Devpost โ†— In development

Spotify Wrapped, but for your bank account โ€” an agentic pipeline that turns a transaction CSV into a personalized 60-second narrated recap video.

Backblaze B2 Genblaze SDK GMI Cloud Seedream NVIDIA NIM OpenAI TTS-1 FFmpeg Next.js React 19 TypeScript Python FastAPI Plaid Sandbox Railway

Repository โ†— ยท Live app โ†— ยท API docs โ†—

What I Work On

๐Ÿงฉ Agentic AI & Enterprise Intelligence I design AI systems with Azure AI Foundry, Foundry IQ, multi-agent orchestration, Agent-to-Agent (A2A) communication, and RAG with hybrid search โ€” built to be explainable, grounded, and production-ready.

๐Ÿ—๏ธ Distributed Systems & Backend Architecture 13+ years building scalable platforms with Java (Spring Boot, Quarkus) and Python (FastAPI) โ€” microservices, NoSQL, event-driven systems, and hybrid cloud across AWS, Azure, and OpenShift.

โš™๏ธ AI Infrastructure, Performance & Compute I work at the infrastructure layer behind modern AI โ€” GPU computing, NVIDIA CUDA, model serving, vector search, and performance engineering.

๐Ÿ“ก Reliability, Observability & Platform Engineering I build resilient systems with Azure Functions, Service Bus, OpenTelemetry, Application Insights, and KQL โ€” telemetry pipelines that hold up to enterprise-grade reliability and governance.

Tech Stack

Languages & Frameworks Java Spring Boot Quarkus Python FastAPI TypeScript React Next.js

Agentic AI & LLM Azure AI Foundry Semantic Kernel RAG Hybrid Search A2A MCP NVIDIA NIM Amazon Bedrock

Cloud & Infrastructure Microsoft Azure Amazon AWS OpenShift CockroachDB PostgreSQL Railway Vercel

AI Infra, GPU & Observability CUDA C++ CUDA-Q cuQuantum NVIDIA CUDA pgvector OpenTelemetry KQL

Career Journey

2025 โ€“ Present ยท Software Engineer ยท Swedbank โ€” Stockholm, Sweden Anti-financial crime ยท AML platforms ยท 95%+ test coverage across a unified multi-module architecture

2021 โ€“ 2025 ยท Senior Java Developer ยท Viaplay Group โ€” Stockholm, Sweden Media & streaming platforms on AWS + Kubernetes ยท ~30% performance and ~40% delivery-speed gains

Marโ€“Sep 2021 ยท Software Developer ยท Expleo Technology Nordic โ€” Gothenburg, Sweden Domain-driven microservices ยท ~50% faster onboarding via documentation & workflow diagrams

2012 โ€“ 2021 ยท Senior Software Engineer ยท 8 yrs 6 mos ยท IBM โ€” Sydney & Pune Regulated banking APIs for Westpac ยท ~25% response-time gains ยท Jenkins/Bamboo delivery modernization

Also on GitHub

Experiments & learning

  • q1729 โ€” Ramanujan ร— the NVIDIA stack โ€” CUDA-Q/cuQuantum simulation with an AI analysis layer
  • llm-qlab โ€” LLM quantization benchmarks on consumer GPUs โ€” speed, VRAM, and quality trade-offs
  • pythonic-algorithms-lab โ€” CPU vs GPU algorithm benchmarking with empirical Big-O profiling (CuPy + Numba CUDA)
  • iq-series โ€” Hands-on Microsoft IQ notebooks โ€” Foundry IQ, Work IQ, Fabric IQ

๐Ÿ“Š GitHub Stats

GitHub stats ย  Top languages

ย 

GitHub Trophies

Certifications & training

Full certification list on LinkedIn โ†—

Let's Connect

ย  ย 

iarjunganesh@gmail.com ยท iarjunganesh@outlook.com ยท iarjunganesh@icloud.com

Rรฉsumรฉ (PDF) ยท Rรฉsumรฉ (DOCX)

Building trustworthy AI systems that explain their reasoning, leave an audit trail, and actually work in production.
If that's the kind of problem you're working on โ€” I'd love to talk.

github.com/iarjunganesh ยท arjunganesh.dev

Pinned Loading

  1. argus argus Public

    ARGUS โ€” Agentic Risk & Governance Unified Screening | Multi-agent KYC system powered by Azure AI Foundry + Foundry IQ | Microsoft Agents League Hackathon 2026 โ€” Reasoning Agents track

    Python

  2. q1729 q1729 Public

    Ramanujan's mathematics meets the NVIDIA stack: CUDA-Q/cuQuantum quantum simulation + NIM/Nemotron analysis, consumer RTX to cloud H100

    Python

  3. continuum continuum Public

    Agentic incident-response memory that survives the agent being killed mid-incident โ€” CockroachDB ร— AWS Hackathon 2026

    Python

  4. bankers-wrapped bankers-wrapped Public

    Banker's Wrapped โ€” AI-Powered Financial Storytelling Platform | Backblaze Generative Media Hackathon 2026

    Python

  5. pythonic-algorithms-lab pythonic-algorithms-lab Public

    Algorithm implementations with CPU vs GPU benchmarking, empirical Big-O profiling, and an interactive Dash dashboard. CuPy + Numba CUDA kernels with CPU fallbacks.

    Python

  6. llm-qlab llm-qlab Public

    Python