Lead AI Engineer · London

Abd Bastola.

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Campus overview

Lead AI Engineer · London

Abd Bastola.

I build AI systems people can rely on.

Production-grade agents, RAG and GraphRAG platforms for enterprise teams — with the unglamorous parts designed in: evaluation, guardrails, observability and clear limits.

Currently Building and delivering enterprise AI systems at AWTG in London — including the KAI platform.

Selected work

Systems built for real organisations

Three engagements, each documented end to end: the problem, my contribution, the architecture and the outcome.

All work
7 + Years in AI & ML
65,000 + Users on the KAI platform
200 + Network nodes optimised
26 Public repositories
Newsletter — Reliable AI

Latest writing

Notes on building production-ready AI agents, RAG systems, evaluation and enterprise AI delivery.

All articles
Issue 05

GPT-6 Astra: what the hype hides about real-time agentic models

OpenAI's Astra launch is being framed as the start of something huge. A practical read on what the coverage actually signals about real-time multimodal and agentic models — transparency, control, safety, evaluation, cost and governance.

  • frontier-models
  • agents
  • multimodal
  • evaluation
  • governance
Issue 04

Cascaded voice AI, ElevenLabs, or direct providers: what latency really costs in the enterprise

Voice agents are suddenly ready for the enterprise — which means teams are choosing between cascaded pipelines, all-in-one platforms and direct provider stacks. A practical look at the latency trade-offs, the compliance realities and the business impact that should drive the decision.

  • voice-ai
  • architecture
  • latency
  • enterprise delivery
  • evaluation
Issue 03

The AI architecture conversation teams should have before choosing a model

Business problem definition, data readiness, risk classification, model selection, MVP scope and measurable success criteria — the six questions that prevent model-first projects from becoming expensive regrets.

  • architecture
  • model selection
  • strategy
  • evaluation
GitHub

Open source & builds

Real repositories — agents, GraphRAG experiments, reinforcement learning for RAN and automation tooling.

All repositories
Regshift Python

Conduct-style change assurance layer with LangGraph orchestration and policy governance.

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NTTDATA Python

Production-shaped ACL GraphRAG interview demo (NTT DATA Option 1).

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editdna-rank-studio Python

AI reference-based ranking video generation platform — Tech Europe hackathon build.

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edumate TypeScript

AG-UI hackathon project — an AI study companion (edumate).

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Carrier-ON-OFF Python

DQN agent that switches 5G cells on and off, using energy efficiency as the reward signal.

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ASM-PPO-RL-Agent Python

PPO (actor-critic) reinforcement-learning agent for Advanced Sleep Mode in RAN.

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Get in touch

Let’s talk about your AI systems

Designing an agent, fixing a RAG pipeline, planning evaluation and governance, or hiring — send a message and I’ll reply personally.

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