Senior Engineer · Agentic AI · Anti-Financial-Crime
Arjun Ganesh
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 — and win hackathons — by night.
I care about AI that explains its reasoning, leaves an audit trail, and actually works in production.
NVIDIA Certified · Agentic AI (NCP-AAI)Selected Work
What I’ve built
Multi-agent compliance intelligence on Azure AI Foundry
Five specialist AI agents, coordinated over the A2A protocol on Azure AI Foundry, run KYC, AML, and risk screening — 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 — and won Hack for Good (1 of 3).
Release intelligence for GPU & AI infrastructure
An agentic pipeline that turns noisy changelogs into cited, bounded, inspectable release briefings for GPU and AI-infrastructure teams — grounded and source-linked, never hand-wavy.
Ramanujan's mathematics meets the NVIDIA stack
How fast can a GPU compute π — 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.
Durable incident memory for cold-started agents
Agentic incident-response memory that survives the agent being killed mid-incident — execution state lives in CockroachDB, not process memory, so a cold-started agent resumes from the exact interrupted step.
AI-powered financial storytelling
Spotify Wrapped, but for your bank account — an agentic pipeline that turns a transaction CSV into a personalized 60-second narrated recap video.
Focus Areas
What I work on
🧩 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 — built to be explainable, grounded, and production-ready.
🏗️ Distributed Systems & Backend Architecture
13+ years building scalable platforms with Java (Spring Boot, Quarkus) and Python (FastAPI) — microservices, NoSQL, event-driven systems, and hybrid cloud across AWS, Azure, and OpenShift.
⚙️ AI Infrastructure, Performance & Compute
I work at the infrastructure layer behind modern AI — GPU computing, NVIDIA CUDA, model serving, vector search, and performance engineering.
📡 Reliability, Observability & Platform Engineering
I build resilient systems with Azure Functions, Service Bus, OpenTelemetry, Application Insights, and KQL — telemetry pipelines that hold up to enterprise-grade reliability and governance.
Tech Stack
Tools I reach for
Languages & Frameworks
Cloud & Infrastructure
AI Infra, GPU & Observability
Career Journey
Where I’ve worked
2025 – Present
Software Engineer · Swedbank
Stockholm, Sweden
Anti-financial crime · AML platforms · 95%+ test coverage across a unified multi-module architecture
2021 – 2025
Senior Java Developer · Viaplay Group
Stockholm, Sweden
Media & streaming platforms on AWS + Kubernetes · ~30% performance and ~40% delivery-speed gains
Mar–Sep 2021
Software Developer · Expleo Technology Nordic
Gothenburg, Sweden
Domain-driven microservices · ~50% faster onboarding via documentation & workflow diagrams
2012 – 2021
Senior Software Engineer · 8 yrs 6 mos · IBM
Sydney & Pune
Regulated banking APIs for Westpac · ~25% response-time gains · Jenkins/Bamboo delivery modernization
Also on GitHub
Experiments & learning
Certifications
Credentials & training
Let’s Connect
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 — I’d love to talk.