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Executive Portfolio · Enterprise AI

ai that earns
its keep.

Six production AI systems, built and shipped inside a regulated bank — each one tied to a number a CFO would recognise.

Not prototypes. Not pilots. Systems that business teams use every day — governed, compliant, and measured.

cumulative impact

$0M+
revenue influenced through AI-driven optimization
0+
business stakeholders using these systems daily
0%
time saved on campaign delivery (days → minutes)
0
production AI systems in regulated banking
Featured build · Agentic AI

The agent that ships BlueConic code.

A custom GitHub Copilot agent takes a Jira story and delivers reviewed, tested BlueConic development end-to-end — writing the AIWB Python and the connection JavaScript, checking its own work, and handing a clean branch back to a person. A cycle that used to take two days now finishes in under thirty minutes.

01
Input
Pull the Jira story

The agent picks up the assigned development story from Jira.

02
Reason
GitHub Copilot agent

Plans the build, grounded on its Markdown knowledge base.

03
Build
Generate the code

Writes the AIWB Python and the BlueConic connection JavaScript.

04
Verify
QA & performance

Reviews and performance-tests its own output before handoff.

05
Ship
Push to Bitbucket

Raises a branch for a person to review — the gate stays human.

06
Hand off
Update the Jira story

Comments status, tags the QA reviewer, moves it to Code Review.

Grounded on a written knowledge base

Self-authored skill definition files and BlueConic Python API references, kept as structured Markdown — so the agent reasons from a curated, version-controlled source of truth rather than guessing.

2 daysunder 30 min

Per development cycle — with a person still reviewing and signing off on every change before it ships.

GitHub CopilotCustom agentPythonJavaScriptBlueConic AIWBJiraBitbucketMarkdown KB

Flagship Build · Agentic AI

rag campaign copilot

Built a RAG-based AI copilot that ingests campaign briefs in natural language and generates production-ready SAS code. Integrated human-in-the-loop validation for compliance.

before

Campaign Operations teams spent 3–5 days manually writing SAS code per campaign. 100+ campaigns annually created severe delivery bottlenecks.

after

Reduced campaign code generation from 3–5 days to under 20 minutes. Team now executes 3× more campaigns with the same headcount.

96%
Time Saved
Campaign Velocity
70%
Error Reduction
$2M+
Annual Savings
LangChainLangGraphRAGGPT-4PineconePythonSAS

The Full Build Sheet

five more systems, same standard.

Open any row for the problem, the architecture, and the numbers.

For Leaders & Organizations

what this track record
means for you.

01

ai strategy & governance

Designed the enterprise AI governance framework adopted as the standard for responsible AI deployment — human-in-the-loop controls, bias monitoring, and compliance review gates.

10+ AI use cases governed · 0 risk incidents · 100% compliance

02

applied ai that ships

From RAG copilots that cut campaign build time from days to minutes, to conversational analytics used by hundreds of stakeholders — production AI, not proofs of concept.

96% time saved · 200+ stakeholders enabled · 3× delivery velocity

03

data foundations at scale

Identity resolution and customer data platforms processing tens of millions of records — the trusted data layer every AI initiative depends on.

50M+ records processed · +35% match accuracy · 60% fewer duplicates

Recognition

awards that follow
the results.

ceo award – triple winner

Recognized three times with Synchrony's highest employee honor for pioneering AI transformation initiatives and delivering measurable enterprise impact.

Synchrony Financial
2021, 2023, 2025
2026

leap leadership program

Selected as a participant in Synchrony's LEAP leadership development program – reserved for high-potential leaders identified for executive advancement.

Synchrony Financial

2022

ai innovation champion

Recognized for pioneering LangChain-based RAG architecture that cut campaign code generation from days to 20 minutes – a flagship enterprise AI capability.

Synchrony Financial

2023

enterprise ai excellence

Honored for building human-in-the-loop AI workflows and AI governance practices that enabled controlled, compliant AI adoption across regulated banking operations.

Synchrony Financial

A proven leader in the Database Marketing and Campaign Operations space… Mirza has my full support and recommendation… and would be a huge asset to any organization.
Kristopher Fairchild
SVP, Database Marketing · Citi Bank, US
Mirza stands out for his willingness to think outside the box to deliver results for our clients… he saved myself and the larger team from tedious monthly work by automating a monthly data transfer that I had always understood could not be automated.
Andrew Crown
Small Business Product Manager · American Express
He has an exceptional analytical skill and is always responsive… He works well with multiple functions and is a subject matter expert of all things campaign analytics people turn to for knowledge and advice.
Rae Liu
VP, Analytics · Synchrony Financial

Open to Advisory · Speaking · Leadership Roles

let's talk about
your ai roadmap.

If your organization is serious about AI that ships, complies, and pays for itself — I'd welcome the conversation.

start a conversation →mirza.22sept@gmail.com

publications.

Peer-reviewed research and industry insights on AI, data engineering, and enterprise analytics.

FIRST AUTHORPEER-REVIEWED · SPRINGER · 2016

Engineering Droplet Navigation Through Tertiary-Junction Microchannels

Microfluidics and Nanofluidics – Springer

First-authored peer-reviewed research published in Springer's Microfluidics and Nanofluidics journal. Investigated passive droplet sorting mechanisms at tertiary microchannel junctions, establishing deterministic navigation rules through geometric and flow-rate control. Cited by international microfluidics research groups.

2024·AI & Finance Quarterly

Agentic AI Workflows in Regulated Financial Services

Explores human-in-the-loop design patterns for deploying Agentic AI systems in banking, with case studies from campaign operations and customer intelligence.

Agentic AIFinTechHuman-in-the-LoopAI Governance
2023·Data Science Central

RAG Architectures for Enterprise Campaign Operations

Practical guide to implementing Retrieval-Augmented Generation for SAS code generation, reducing campaign development time from days to minutes.

RAGLangChainSASCampaign Analytics
2023·Towards Data Science

NLP-Powered Conversational Analytics with Power BI

Architecture and implementation of 'Ask Insight' – an NLP-driven Q&A layer enabling non-technical stakeholders to query enterprise analytics via natural language.

NLPPower BIConversational AISelf-Service Analytics
2022·Analytics Vidhya

Identity Resolution at Scale: An Enterprise Perspective

Deep dive into enterprise Identity Resolution (IDR) automation, covering probabilistic matching, data governance, and downstream analytics reliability improvements.

Identity ResolutionData EngineeringCustomer Intelligence