Senior Software Engineer

Building scalable cloud architectures and event-driven systems that power modern applications at scale

zubairmaqsood866@gmail.com|London, UK

Core Skills

Expertise in modern cloud technologies and architectural patterns that drive business success

Cloud Architecture

Expert in AWS services such as SNS, SQS, EventBridge, and scalable cloud-native solutions. Strong knowledge of multi-cloud strategies with other vendors like DigitalOcean, Akamai Cloud and Linode to prevent vendor lock-in and optimize cost control.

AWSDigitalOceanAkamaiLinodeEventBridge

Event Driven Architecture

Designed real-time systems with MySQL change streams, event-driven microservices, and distributed processing patterns for high-throughput applications.

EventBridgeMySQL StreamsEvent SourcingSNSSQS

Full Stack Development

End-to-end development from React frontends to Node.js backends, with expertise in TypeScript, testing, and modern development practices.

ReactNode.jsTypeScriptNext.jsJest

Research Interests

Exploring cutting-edge technologies and pushing the boundaries of what's possible

AI Infrastructure

Designing and architecting AI/ML solutions using AWS Native services (SageMaker) and 3rd party vendors (HyperStack) - identifying trade offs between vendor lock in, variety of services and cost control.

Document Intelligence
Vector Databases
ML Pipelines

Low Latency Engineering

Optimizing system performance, reducing response times through caching strategies, and building efficient API's inspired by high frequency trading techniques.

Performance Optimization
Caching
Real-time Systems

Open Source Intelligence

Using Generative AI platforms for data scraping and report analysis, experimenting with Shodan for infrastructure reconnaissance, and applying AI-driven techniques for security research and threat intelligence.

AI-Powered Analysis
Infrastructure Research
Threat Intelligence

Currently Looking At

Exploring cutting-edge technologies to push the boundaries of cloud performance and intelligence

AI Infrastructure

RAG (Retrieval Augmented Generation)

Building sophisticated retrieval systems with vector databases, embedding optimization, and context-aware document processing for enterprise AI applications.

High Frequency Trading Techniques

Exploring Golang and Rust

Learning systems programming languages for maximum performance, memory safety, and concurrent programming patterns in distributed systems.

Memory Ordering & NUMA Design

Studying CPU cache optimization, memory ordering guarantees, and NUMA-aware architectures for ultra-low latency distributed systems.

What is Possible?

Integrating these advanced techniques to create next-generation cloud solutions

High-Performance RAG

Building sub-millisecond vector search systems using memory-mapped databases and NUMA-optimized compute clusters

Ultra-Low Latency APIs

Applying trading system techniques to cloud APIs: custom protocols, kernel bypass, and predictable garbage collection

Experience Highlights

Leading technical initiatives across healthcare, fintech, and enterprise solutions

Senior Software Engineer

MadeTech • Apr 2025 - Present

Leading architectural vision for healthcare platform serving 100k+ users, focusing on regulatory compliance and scalable real-time systems.

Technical LeadershipHealthcare ComplianceReal-time SystemsTeam Mentoring

Enterprise Document Intelligence Platform

Current Project

Architected end-to-end document processing pipeline using AWS Textract, Comprehend, and SageMaker with sophisticated embedding systems for intelligent document retrieval.

AWS AI ServicesVector DatabasesDocument ProcessingMachine Learning

Let's Build Something Amazing

Interested in discussing cloud architecture, event-driven systems, or the latest in AI infrastructure? Let's connect.

Available for consulting • London, UK • Remote friendly