Openfor OpportunitiesDubai · UAE

Hi, I'm Mushirul.

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Mushirul Aman
Mushirul Aman
Lead Data & AI Engineer
UAE · Dubai
0+
Years
0M+
Events/Day
0
Companies
✈ Relocation-Ready⚡ Immediate Joiner✓ Visa Sponsorship

Architecting production-grade AI systems & real-time data platforms for Fortune 500.

Built with
AWSAWS
GCPGCP
DatabricksDatabricks
Impact

By The Numbers

Trusted by
Fortune 500
Google
Google
PepsiCo
PepsiCo
Chevron
Chevron
Verizon
Verizon
Mastercard
Mastercard
Guardian Life
Guardian Life
Netflix
Netflix
Google
Google
PepsiCo
PepsiCo
Chevron
Chevron
Verizon
Verizon
Mastercard
Mastercard
Guardian Life
Guardian Life
Netflix
Netflix
Google
Google · via PwC
0M+
Events / Day

Real-time GPS events processed daily for ETA & ranking model enrichment

PwC Consulting
0%
CI/CD Faster

Deployment time slashed via automated pipelines across 20+ data workflows

Chevron
Chevron · via Deloitte
0%
Batch Processing

Pipeline runtime cut from 7 hours to under 2 hours via DBT + Snowflake

PepsiCo
PepsiCo · via PwC
0%
Forecast Accuracy

Demand forecasting improvement across 1M+ SKUs from 5 global factories

Verizon
Verizon · via Deloitte
0%
Downtime Reduced

Network anomaly detection deployed across 5 US regions in real-time

Lendistry · Rsystems
0+
KPIs Unified

Single source of truth built for C-level reporting via Data Vault 2.0

About Me

7+ Years Building Enterprise AI

I am a Lead Data & AI Engineer with 7+ years of experience designing large-scale, fault-tolerant data and AI platforms across fintech, energy, telecom, retail, and big tech domains.

I specialize in end-to-end system design — from streaming ingestion and data modeling to ML-ready architectures and GenAI integration. My work has powered real-time decision systems processing 50M+ events per day, unified 120+ KPIs for executive reporting, and enabled AI-driven forecasting models improving accuracy by over 20%.

My expertise maps directly to the UAE market — from ADNOC-style energy governance and Emirates NBD-scale analytics, to du/Etisalat-grade telecom streaming and Smart Dubai AI integration patterns.

Team Lead
Award Recipient
Full SDLC
Fast Delivery
Builder Mindset
E2E Ownership
Data-Driven
Mentored 10+
Clean Code
Enterprise Scale
Security-First
Multi-Cloud
Education
2015 – 2019
VIT University
B.Tech, Computer Science & Engineering
VIT University, Vellore
8.0 CGPAB.TechVellore, India
Engineering Approach
Build
System Design & Architecture
Deploy
CI/CD & Cloud Infra
Scale
50M+ Events Per Day
Enterprise Impact
Processed 50M+ streaming events/day for real-time intelligence
Reduced downtime by 30–35% via anomaly detection pipelines
Improved demand forecasting accuracy by 22% across 1M+ SKUs
Reduced manual reporting by 60% through automated data pipelines
Cut batch processing time from 7 hours to under 2 hours
Increased reporting accuracy by 30% using Data Vault 2.0
Expertise

Technical Skills

From real-time streaming architectures to GenAI systems — a full-stack data & AI engineering toolkit built across enterprise environments.

AI / ML Engineering

8 capabilities

01
LLM (RAG & Agents)Vector SearchLoRA / PEFT TuningSemantic RetrievalDeep LearningFeature EngineeringModel ServingDrift Monitoring

Data Platform Engineering

8 capabilities

02
Lakehouse (Delta)Spark (Batch/Stream)Databricks ChampionData Vault 2.0DBT ModelsAirflow DAGsSnowflake / RedshiftCDC Pipelines

Distributed Systems

8 capabilities

03
Apache KafkaSpark StreamingApache FlinkEvent-Driven DesignExactly-OnceWindowed StreamsSkew OptimizationHigh-Throughput

Cloud Architecture

8 capabilities

04
AWS / Azure / GCPTerraform (IaC)ServerlessIAM SecurityDockerMulti-CloudCost ControlVPC Design

MLOps & DevOps

8 capabilities

05
CI/CDMLflowDocker DeploymentsAutomated TestingMonitoringInfra AutomationData GovernanceVersion Control

Backend Engineering

8 capabilities

06
Python (FastAPI)REST APIsGraphQLMicroservicesAsync ProcessingAPI GatewayJWT / OAuthRedis Cache

Skill Distribution

Hover to explore
hover
skill
— hover a skill to see details —
AI / ML
94
Data Platform
97
Distributed
95
Cloud
93
MLOps
90
Backend
85
Portfolio

Featured Projects

Flagship enterprise systems architected and shipped across Fortune 500 environments — from real-time streaming to AI-ready data platforms.

Google

Real-Time Location Intelligence Platform

Google

Architected streaming pipelines processing 50M+ GPS events/day enabling ETA optimization, ranking enrichment, and ML training acceleration.

50M+ GPS events/day processed
ML training acceleration by 40%
AI-ready lakehouse architecture
Completion98%
AWS KinesisLambdaGlueS3Redshift SpectrumPython
PepsiCo

Enterprise Demand Forecasting Platform

PepsiCo

Designed cloud-native forecasting pipelines integrating POS + IoT signals from 5 global factories, improving forecast accuracy by 22% across 1M+ SKUs.

22% forecast accuracy improvement
1M+ SKUs covered
5 global factories integrated
Completion95%
PySparkDatabricksML PipelinesAzureDelta Lake
Chevron

Global Energy Data Platform

Chevron

Built Snowflake + DBT modular transformation framework with CI/CD via Azure DevOps, achieving 100% regulatory traceability with Data Vault 2.0.

100% regulatory traceability
7h → 2h batch processing
CI/CD automated pipeline
Completion96%
SnowflakeDBTAzure DevOpsPySparkData Vault 2.0
Verizon

Real-Time Network Analytics & Fraud Detection

Verizon

Built streaming anomaly detection pipelines using Kafka + PySpark + Kinesis, indexing 1B+ documents/day with <5s SLA and 80% throughput improvement.

30% downtime reduction
1B+ documents/day indexed
80% throughput improvement
Completion94%
KafkaPySparkKinesisElasticsearchFlink
🤖

Enterprise RAG & LLM Agent Platform

Personal / Open Source

Built a production-grade Retrieval-Augmented Generation system enabling natural-language querying over structured enterprise data. Includes a multi-tool LLM agent with memory, tool-use, and streaming response UI.

RAG pipeline over 500K+ document chunks
Multi-tool LLM agent with memory & routing
Sub-2s retrieval with vector search
Completion88%
LangChainOpenAI GPT-4PineconeFastAPIDockerStreamlit
Career

Work Experience

Professional journey building enterprise-grade data & AI systems across Fortune 500 clients.

RS

Lead Data Engineer

2023 – Present
RsystemsLendistry (US Fintech, $1B+ SBA lender)
  • Led a cross-functional team of 6 engineers across data engineering, analytics, and platform to deliver a governed enterprise data ecosystem
  • Architected enterprise-wide Data Vault 2.0 platform consolidating 120+ KPIs into a single source of truth for C-level reporting
  • Improved reporting accuracy by 30% and reduced manual reporting effort by 60% through automated data discovery layers and self-service BI
  • Implemented row-level security and regulatory governance with zero audit failures across SEC and SOC-2 reviews
Data Vault 2.0SnowflakeDBTApache AirflowPythonTableauAWS
PwC

Senior Associate – Data & AI Engineering

2021 – 2023
PwCGoogle & PepsiCo (Fortune 500)
Google
  • Led a team of 8 engineers and 3 data scientists delivering AI-ready lakehouse architectures for ML experimentation and streaming intelligence at Google
  • Architected demand forecasting pipelines processing POS + IoT signals from 5 global factories, improving accuracy by 22% across 1M+ SKUs at PepsiCo
  • Provisioned secure ML infrastructure for deep learning and NLP systems on SageMaker, supporting GenAI experimentation workloads
  • Implemented CI/CD automation reducing deployment time by 70% across 20+ data pipelines
  • Processed 50M+ GPS events/day for real-time ETA and ranking model enrichment
AWS KinesisDatabricksPySparkSageMakerLambdaS3RedshiftGlue
Deloitte

Data Migration Specialist

2019 – 2021
DeloitteChevron (Fortune 500, Global Energy)
Chevron
  • Mentored a team of 4 junior engineers on Data Vault 2.0 modeling and Snowflake best practices across a multi-region cloud migration
  • Built cloud-native transformation frameworks using DBT and Snowflake with Azure DevOps CI/CD, cutting batch processing from 7 hours to under 2 hours
  • Delivered predictive maintenance platforms reducing equipment failure risk by 35% across upstream oil & gas operations
  • Ensured multi-region governance and 100% regulatory traceability with zero security escalations across HSE and SOX audits
SnowflakeDBTPySparkAzure DevOpsTerraformAzure Data Factory
Deloitte

Business Technology Analyst

2017 – 2019
DeloitteVerizon (Fortune 500, US Telecom)
Verizon
  • Designed real-time network analytics system detecting anomalies via Kafka + PySpark streaming pipelines, achieving <5s alert SLA
  • Reduced network downtime by 30% through intelligent anomaly detection deployed across 5 US regions
  • Built distributed search pipelines indexing 1B+ documents/day with 80% throughput improvement and 35% latency reduction
  • Improved search precision by 20% and CTR by 15% via ML ranking optimization using BM25 + dense embeddings
  • Delivered executive dashboards with row-level security, adopted by 300+ stakeholders across operations and finance
KafkaPySparkKinesisElasticsearchFlinkAWS EMRPython
Certifications
Databricks
DB-DEPProfessional

Databricks Certified Data Engineer Professional

Databricks

Amazon Web Services
SAA-C03Associate

AWS Certified Solutions Architect

Amazon Web Services

IN PROGRESS
Amazon Web Services
MLS-C01Specialty

AWS Certified Machine Learning – Specialty

Amazon Web Services

IN PROGRESS
Google Cloud
GCP-PDEProfessional

Google Professional Data Engineer

Google Cloud

Interactive

Playground Demos

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Role Match Scorer

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Portfolio Agent

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Let's Build Something

Available for Lead Data Engineer, AI Architect, and GenAI roles in UAE & Dubai.

0+
Years
Experience
0+
Projects
Shipped
0%
Uptime
SLA Maintained
0d
Avg MVP
Time to Ship

// available for engagement

Ready to ship production-grade AI?

I bring enterprise-grade architecture to every engagement — from system design to production deployment.

End-to-end Data & AI Architecture
Real-time Kafka + Spark pipelines
Cloud-native AWS / Azure deployments
Enterprise governance & compliance
mushirul@ai-architect
PythonKafkaSparkdbtSnowflakeOpenAIAWS
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