Abhishek Saxena
Abhishek Saxena · Enterprise AI Architect, Bengaluru

Ten years of AI that held in production.

Defence first, then finance, then six years inside one industry. Eight systems from that decade are rebuilt here in the open — designed to be read, and run on request.

8production systems
3sectors
TOGAF®practitioner
ISBexec. education
2016 – 2019 · defence electronicsPerception SystemsUnattended pipelines within an embedded budget.
2019 – 2020 · trade financeContract IntelligenceNLP under a regulatory deadline; audit lineage from clause to decision.
2020 – present · hospitality technologyCorrespondence · Personalisation · Content Integrity · Generative EditorialOne industry, end to end.
2024 – 2025Enterprise Retrieval · Service IntelligenceRetrieval at scale; a streaming vision loop on the floor.
2026abhisheksaxena.comEight systems rebuilt solo, AI‑leveraged, labelled honestly.
The promise — the same for every system
ArchitectureDataIntegrationsDemoDocsVideo

It never claims
what it cannot show.

Every system here is labelled by how real it is — what ran in production, what is synthetic, what is simulated. If the label is missing, the claim is not made.

01

Architecture

The design, models and control flow that ran in production — rebuilt at a scale one machine can run.

02

Data

Synthetic, always. Generated sets that reproduce the real distributions; no customer data anywhere.

03

Integrations

Mail servers, cameras, ticketing — stand‑ins that are labelled as stand‑ins, in the demo and the docs.

04

Demo

Opened personally, for a defined period, to those evaluating the work. Everything else is public.

Production systems

The eight, with the evidence.

Hover a row to see it run. Every system opens to its walkthrough, documentation and demo.

demo.abhisheksaxena.com/enterprise-rag
01 · Enterprise Retrieval PlatformHospitality group · 2024 – 2025
#SystemRealityNow
01Enterprise Retrieval PlatformHospitality group · 2024 – 2025downscaled reimplementation · syntheticcase study · docs
02Contract IntelligenceTrade finance · 2019 – 2020downscaled reimplementation · syntheticcase study · docs
03Service IntelligenceHospitality group · 2024 – 2025real pipeline shape · syntheticcase study · docs
04Multilingual CorrespondenceHospitality group · 2020 – presentreal architecture · syntheticdocs
05Personalisation & RecommendationHospitality group · 2020 – presentreal architecture · syntheticdocs
06Content IntegrityHospitality group · 2020 – presentreal architecture · syntheticdocs
07Generative EditorialHospitality group · 2020 – presentreal architecture · syntheticdocs
08Perception SystemsDefence electronics · 2016 – 2019downscaled reimplementation · syntheticdocs
AI demonstrations

Seven demos you can run. One in design.

Each runnable demo opens from the page of the system it demonstrates, behind a time-limited access grant. Every record inside them is synthetic.

  1. 01 Agentic AIComing soon

    AI Agent Platform

    Planned: agents that break a task into steps, call approved tools with scoped permissions, record every action and stop for a person’s approval where it matters. In design — there is no demo yet.

  2. 02 RAG

    Portfolio Assist

    A support assistant that answers only from the help centre, cites the passages it used and says so when it cannot answer.

    open the system →
  3. 03 Personalisation

    Portfolio Recommend

    Three properties chosen for each visitor from what they clicked, ranked semantically, with the reason for each pick on the card.

    open the system →
  4. 04 Multilingual

    Portfolio Correspondence

    Guest email in ten languages: classified, matched to its booking, drafted from approved templates and escalated when it should be.

    open the system →
  5. 05 Text-to-SQL

    Portfolio Insight

    Questions in plain language become read-only SQL over a semantic layer, shown so you can read and check it before you trust it.

    request access →
  6. 06 Generative

    Portfolio Content

    Property descriptions in four brand voices and ten languages, streamed as they are written, with every claim checked against the facts.

    open the system →
  7. 07 Moderation

    Portfolio Reviews

    Review moderation with PII scrubbing, rules the moderator controls and clusters of fake reviews rejected together.

    open the system →
  8. 08 Computer vision

    Portfolio Tables

    Ceiling cameras over a restaurant floor: object detection on ONNX shows which tables are empty and which guests are waiting. No language model.

    open the system →
Who

Where the work comes from.

I started where failure is expensive, learned that trust is an architecture concern, and then spent six years inside a single industry until I understood it end to end.

Abhishek Saxena architects and delivers AI platforms for enterprises — from defence‑grade perception to regulated document intelligence to the systems behind a European hospitality group.

Full profile →
Working stack
Python · FastAPI · PyTorch
vLLM · Qdrant · Kafka · Redis
Postgres · TensorRT · ONNX Runtime
Kubernetes · Terraform · OpenTelemetry
TOGAF ADM · documents before code
Credentials & education

Certified. Verifiable.

All credentials →
Projects & products

Smaller things, built for real use.

All projects →
How I work

Three steps. The same for every system — and for this site.

Step 01

Scope

What, why, and what “done” means — written before anything is built. Documents before code, numbered gates, a decision log.

“We write it down before we build it.”
Step 02

Build, in the open

Bounded chunks with a coding agent; one chunk, one branch. Everything labelled by how real it is.

“Demos you can click from the first week.”
Step 03

Prove

A person reviews against a written quality bar, then a real browser — desktop, phone, reduced motion — before it ships.

“If it doesn’t pass, it doesn’t ship.”
By arrangement

The live systems are opened personally.

Documentation and walkthroughs are open to everyone. Access to the running environments is granted for a defined period, to those evaluating the work.

Request access →