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Vadi Taslim

AI Systems Engineer · Senior Software Engineer | Sydney, Australia

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Vadi Taslim

Experience

March 2025 - Present

Founding Engineer at Vargos Labs

  • ▹Open-source agent OS published on npm as @vargos-labs/vargos
  • ▹Developed self-improved ADLC in a feedback loop for better agent loop performance and better decision making
  • ▹Maintain business development research automation to support custom acquisition strategies.
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  • ▹Built and maintain Vargos, an open-source self-hosted agent OS with memory, channels, cron, webhooks, and MCP.
  • ▹Maintain self-improved ADLC support and integration within the agent OS.
TypeScript·Next.js·Node.js·PostgreSQL·MCP·Playwright

August 2021 - Present

Millions of users · 30+ countries

Senior Fullstack Engineer at Vervio

  • ▹Cut JS bundle in half - Core Web Vitals improved noticeably
  • ▹Fixed SEO breakage that had been stuck across international sites
  • ▹Stopped the platform from randomly crashing under load
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  • ▹Full-stack work across millions of users in 30+ countries - web, CMS, search, the whole stack.
  • ▹Cut JS bundle by 50% with code splitting and i18n optimization.
  • ▹Built async rendering to stop the UI from freezing while waiting for the backend.
  • ▹Ripped out the legacy CMS and moved to Next.js. Freed up SEO that had been broken for months across non-US sites.
  • ▹Set up ESLint, Prettier, pre-commit hooks. Reviewed code until the team actually remembered to run them.
Next.js·React·TypeScript·Node.js·Python·AEM

August 2020 - Present

100k+ Discord bot users

Senior Frontend Engineer at Toptal

  • ▹Discord bot hit 100k+ active members
  • ▹SSR retrofit cut initial load time by 40% and fixed SEO
  • ▹Built email templates that actually work with screen readers and system themes
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  • ▹Built a Discord bot from scratch. Got 100k+ active users without it falling over - Node, Redis, Postgres.
  • ▹Bolted SSR onto an existing React/Redux app without breaking CSS Modules, routing, or state.
  • ▹Set up CI/CD with GitHub Actions and Docker to S3.
  • ▹Owned the frontend across multiple projects. Reviewed code every day until people stopped making obvious mistakes.
React·TypeScript·Redux·Node.js·Redis·PostgreSQL

Earlier experience (2012–2020)

Frontend EngineeratWallethub2018–2020
  • ▹Automated CVE detection instead of manual hunting
  • ▹Fixed security holes from bug bounty reports
  • ▹Built the test suite - zero regressions after it went in
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  • ▹Picked up OWASP ZAP in week one and owned security automation from there.
  • ▹Automated vulnerability scanning for the OWASP Top 10 - replaced the manual review process.
  • ▹Triaged bug bounty reports from Bugcrowd and HackerOne. Fixed CVEs in PHP and Angular.
  • ▹Shipped the first actual test suite using Mocha. Stopped regressions from going to prod.
Angular·TypeScript·Node.js·PHP·OWASP ZAP
Frontend Engineer (3D/WebXR)atAwe2017–2019
  • ▹Built the 3D engine every client project relied on
  • ▹Killed memory leaks that were crashing sessions
  • ▹Kept WebGL/VR/AR working on every browser
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  • ▹Built the 3D rendering engine all client projects used.
  • ▹Learned the math - matrices, trig, linear algebra - built it all from scratch.
  • ▹Shipped Three.js plugins and kept WebGL/XR working across browsers.
  • ▹Found and fixed memory leaks that were nuking long-running sessions.
Three.js·WebGL·WebXR·JavaScript·Gamepad API
Frontend EngineeratDominopos2016–2017
  • ▹Got the team writing tests with Selenium/Nightwatch
  • ▹Placed 2nd in the hackathon
  • ▹Built the first test suite for the whole company using Selenium and Nightwatch.
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  • ▹Won 2nd place at the hackathon - built an Angular/Node app in 48 hours.
Angular·TypeScript·Laravel·MongoDB·Elasticsearch
Fullstack EngineeratLCA2015–2016
  • ▹Zero regressions to prod because tests were there from the start
  • ▹Built backend features with tests baked in from day one - not bolted on later.
  • ▹Ripped out dead code and measured how much faster things got.
PHP·Symfony·Python·PHPUnit·Selenium
Software DeveloperatPowergen2012–2015
  • ▹Shipped a biometric ID system that went into enterprise
  • ▹Built a facial recognition and fingerprint ID desktop app.
  • ▹Integrated DigitalPersona and Neurotech biometric SDKs.
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  • ▹Debugged production issues on-site - hardware integration and matching bugs.
C#·.NET·MSSQL·DigitalPersona·Neurotech

Projects

I build what I can't stop thinking about - usually because I want the thing to exist and nobody else has built it yet.

Vargos.ai

Businesses don't want a tool, they want the problem solved. Personal AI agents also disappear after each message and can't reach your systems.

Vargos Labs: software, AI and people combined to deliver business outcomes. Built on an open-source, self-hosted agent OS with persistent memory, messaging channels (WhatsApp, Telegram), scheduled autonomy, real tool access, and Agentic Development Lifecycle (ADLC).

Learnings:

  • ▹LLM orchestration at system level
  • ▹Agent autonomy vs control tradeoffs
TypeScriptMCPPostgreSQLpgvectorSQLiteWebSocketPlaywrightRAGVoice AI

CramClass

Families preparing for selective school exams want tutors who sat the exams recently, not generic AI or generic tutoring.

An online tutoring platform where high-ATAR university students share live selective-school and scholarship exam experience with families. Built by Vargos Labs from zero to MVP in 4 weeks.

Learnings:

  • ▹Scoping a client MVP down to a 4-week launch
  • ▹Wiring booking, payments and calendar into one flow
Google MeetGoogle CalendarStripeGoogle CloudAI Automation

Chans.ai

Slapping voice onto an AI agent means cobbling together STT, TTS, and WebRTC yourself. That sucks.

Drop real-time voice into any LLM. It's just an API - STT, TTS, voice chat, all connected to your model.

Learnings:

  • ▹Real-time audio streaming with LiveKit and WebRTC
  • ▹Hybrid RAG search (vector + BM25) with line-level citations
PythonFastAPILiveKitNext.jspgvector

Archived

Ingra.ai

A place to dump functions and let LLMs call them as tools.

Tic Tac Toe

A tic-tac-toe AI you can't beat because it's using minimax.

URL Shortener

A quick link shortener so I don't have to copy/paste long URLs between my phone and desktop.

Writing

View all

Writing about the decisions behind the systems - why something was built that way, and what went wrong first.

ai·Aug 2026·5 min

Two Rigs, Five Runtimes: My Qwen3.8-27B Benchmark Across NVIDIA and AMD

Qwen3.8-27B across two rigs and five runtimes: NVFP4 on Blackwell hits 150 tok/s, the AMD box peaks at 57 tok/s.

ai·May 2026·9 min

Qwen 3.6-35B-A3B on an RTX PRO 6000: 217 tok/s at Full bf16

Speed, latency, context scaling, and quality notes for Qwen 3.6-35B-A3B running at full bfloat16 on a single RTX PRO 6000 Blackwell via vLLM.

ai·Mar 2026·6 min

Nemotron 3 Super vs Qwen 3.5: Tested on a Real Agentic Workflow

One task, no synthetic prompts: SSH into a homelab server and document the infrastructure autonomously. nemotron-3-super:120b made zero tool calls. qwen3.5 made forty-three and built a cross-linked wiki.

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About

Currently based in Sydney. Started in game design, then into software engineering. Over the years I've built biometric identity platforms, 3D renderers, and global commerce systems that ran across dozens of countries. Game design taught me how to empathize with users.

Now I run Vargos Labs, a Sydney company that takes a business problem and delivers the outcome, starting with software. Behind it: multiple compute and GPU servers, fine-tuned local models, and Vargos, an open-source agent OS with real tool access on my infrastructure. Self-host because the cloud hides the bugs I care about

Technologies

Frontend

Fast, SEO-friendly interfaces that handle real users

TypeScriptPrimary language
React10+ years
Next.jsApp Router, SSR, ISR
Tailwind CSSDesign systems

Backend

APIs that don't fall over, data pipelines, automation

Node.jsProduction services
PythonAI/ML, automation
PostgreSQLPrimary datastore
RedisCaching, queues

Infrastructure

Hardware I own, operate, and repair

DockerContainer orchestration
ProxmoxVMs, LXCs, GPU passthrough
CloudflareDNS, tunnels, edge
LinuxDaily driver

AI & ML

Running models locally without selling my soul to the cloud

vLLMHigh-throughput inference
OllamaLocal LLM serving
llama.cppQuantized models
WhisperSpeech-to-text
Stable DiffusionImage generation
LiveKitReal-time voice AI

Infrastructure

Cloud abstractions hide how systems actually behave. I self-host to see what gets hidden.

Intentional boundaries: Compete with hyperscalers · Replace managed services at scale · Build infra without operational purpose

What self-hosting taught me

  • ▹Every abstraction leaks; knowing when matters more than avoiding them
  • ▹Cold starts, IO contention, and memory pressure define real performance
  • ▹Don't pick GPU specs until you know your actual workload
  • ▹VRAM is the real GPU bottleneck - not compute
  • ▹The bug is almost always in the network. It just looks like your app.
  • ▹Disk and memory constraints surface before CPU saturation
  • ▹Backups are useless until restores are tested
  • ▹Observability beats intuition
  • ▹Infra that isn't automated will eventually drift

Mobile dev environment

Mobile terminal

Termux (Android)cloudflaredtmuxClaude CLI

Full development environment from a phone - tunneled into my server, persistent sessions, agentic coding with Claude.

AI agent via chat

Telegram / WhatsApp / TermuxVargos (voice STT + text)Home server

Message my AI agent from any channel - text or voice - to execute tasks directly on my infrastructure.

Details

Machines

HYDRA

Primary Workstation · Windows 11 + WSL2

Intel Core i9-12900K
64GB DDR5 4400MHz
NVIDIA RTX 5080 (16GB)
2TB NVMe + 2x1TB NVMe
  • ▹All-purpose development workstation
  • ▹Local ML experimentation
  • ▹GPU-bound workloads and tooling

HYDRA09

Secondary Server Node · Proxmox VE

AMD Ryzen 9 7950X
128GB DDR5
2x AMD Radeon AI PRO R9700 (64GB, ROCm)
2x2TB NVMe + 4TB NVMe + 2x18TB HDD RAID 1 ZFS-backed bulk storage
  • ▹Virtualization (vargos-109, truenas, vervio, qantas)
  • ▹AMD/ROCm GPU workloads (llama.cpp, vLLM, Stable Diffusion)
  • ▹Secondary AI/ML Proxmox host
  • ▹ZFS-backed bulk storage and NAS services

HYDRA10

Primary Server Node · Proxmox VE

AMD Ryzen 9 9950X
192GB DDR5
NVIDIA RTX PRO 6000 Max-Q (96GB)
512GB NVMe boot + bulk
  • ▹Virtualization (vargos-110)
  • ▹NVIDIA/CUDA LLM and Stable Diffusion inference workloads
  • ▹Primary AI/ML Proxmox host and playground
  • ▹GPU-bound workloads and tooling
  • ▹Fine-tuning and model experimentation

Beelink SER9 Pro

Edge / Utility Node · Proxmox VE

AMD Ryzen 9-class mobile CPU
32GB DDR5
1TB NVMe
  • ▹Edge services
  • ▹Lightweight containers
  • ▹Auxiliary workloads and testing

LEGION-S7

Mobile Control & Development Node · Ubuntu

AMD Ryzen 7 5800H
32GB DDR4
NVIDIA RTX 3060 (Laptop)
1TB NVMe
  • ▹Primary mobile workstation for development
Networking

MikroTik RouterOS

  • ▹Subnet and bridge isolation
  • ▹NAT and firewall rule ownership
  • ▹WireGuard VPN for secure remote access
  • ▹Cloudflare-based DNS and ingress control
Platforms & Tooling

AI & ML Tooling

Local LLM runtimes (vLLM, llama.cpp, Ollama)Model experimentation and benchmarkingGPU utilization and performance analysis

Virtualization & Containers

Proxmox VE (VMs and LXCs)PCIe device passthrough (GPU, storage, networking)DockerDocker ComposeContainerized services on Proxmox LXCs

Networking & Access

MikroTik RouterOSWireGuard VPNCloudflare DNS and Tunnel-based ingressReverse proxy and internal routing

Data & Storage

ZFS (datasets, snapshots)NFS mounts between nodesNAS-backed persistent volumesPostgreSQLRedisMariaDBVector databases (Qdrant)

Media & Real-Time

Plex media streamingPhotoPrism photo indexingLiveKit real-time audio/video

Observability & Ops

Service health monitoringLog inspection and debuggingBackup orchestration and restore testing

Get in touch

Tell me what you're building.

[email protected]

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© 2026 Vadi Taslim