Hi, I'm Aimen Shahzad
Staff Software & AI Systems Engineer
Specializing in multi-agent LLM systems, high-throughput vector search, and cloud-native microservices. Bridging deep neural networks with resilient enterprise software.
Location: San Francisco, CA (Open to Global Remote)
"Generative AI & LLMOps",
"Distributed Vector Databases",
"Full Stack Node.js & React",
"Rust & Python Backend microservices"
]
About Aimen Shahzad
Engineering high-performance software at the intersection of Artificial Intelligence and Scalable Systems.
I am a passionate Staff Software & AI Engineer with over 6 years of experience architecting large-scale distributed applications, neural inference engines, and intelligent multi-agent workflows.
My engineering philosophy combines mathematical precision with clean software craft. From designing ultra-fast vector indexers handling billions of embeddings to shipping slick full-stack web platforms with Node.js, React, and Python, I bring end-to-end technical leadership.
Agentic Systems
Designing autonomous multi-agent orchestration frameworks with memory & RAG.
High-Scale Backend
Building resilient, low-latency microservices with Node.js, Rust, Go & Python.
Full Stack Web
Crafting sleek, responsive user experiences using React, TypeScript & CSS3.
Cloud & MLOps
Deploying serverless AI infrastructure, Docker pipelines & Kubernetes clusters.
Skills & Technologies
A comprehensive matrix of tools, frameworks, and engineering disciplines I master.
PyTorch & TensorFlow
Mastery • 96%LangChain, LlamaIndex & RAG
Mastery • 98%Node.js & Express / Nest.js
Mastery • 95%Python & Rust Systems
Expert • 92%Databases & Vector Stores
Expert • 94%React & Next.js
Expert • 90%TypeScript & Modern JavaScript
Mastery • 97%AWS, GCP & Docker
Expert • 91%Featured Projects
Real-world AI platforms and enterprise systems architected and built by Aimen.
Live AI Agent Playground
Test a simulated neural reasoning engine configured by Aimen Shahzad right inside your browser!
Work Experience
Staff AI & Systems Architect
Nexus AI Labs • San Francisco, CA 2024 — PresentLeading the core AI engineering team building enterprise multi-agent foundation systems. Architected distributed vector indexing infrastructure handling 50M daily queries with sub-15ms p99 latency. Scaled Node.js microservices serving 200k concurrent active sockets.
Senior Full Stack AI Engineer
HyperScale Systems Inc. 2022 — 2024Designed and built full-stack web platforms integrating generative AI workflows. Built custom streaming LLM API gateways in Node.js/TypeScript and optimized front-end render performance by 65%.
Software Engineer — Machine Learning
Neural Compute Corp 2020 — 2022Developed computer vision models and trained neural network pipelines for real-time edge processing. Built RESTful microservices and data engineering pipelines processing terabytes of sensor telemetry.
Get In Touch
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