I Build AI Systems
That Work in Production
AI Systems & Applied ML Engineer. Founder & CTO of DevSimplex. Building scalable platforms, ML-aware architectures, and production-grade backend systems.
Engineering at the intersection
of AI & systems
I'm a Founder, CTO, and engineer with a strong focus on AI systems and applied machine learning. My background spans software engineering and data science, with graduate and undergraduate degrees in Data Science and Software Engineering.
At DevSimplex, I lead technical vision, system design, and execution of production-grade platforms. From early experimentation to reliable, scalable deployments — I care about how systems behave in the real world, not just in theory.
Long term, I'm growing into a research-driven technical leader with depth in how AI and data systems are designed, evaluated, and operated in production.
AI Systems & Applied ML
Designing and deploying ML-aware systems that handle real production constraints: latency, cost, monitoring, and failure modes.
Scalable Architecture
Clean, modular architectures for SaaS platforms, APIs, and data pipelines — built for long-term maintainability and growth.
Full-Lifecycle Engineering
From architecture design to production deployment. I own systems end-to-end — not just the code, but the outcomes.
Research → Production
Bridging the gap between research ideas and engineering trade-offs. Theory that actually works in the real world.
Skills
From AI system design to production deployment — I help businesses build technology that reduces complexity and scales with their goals.
AI Systems & ML Engineering
Design and deploy ML-aware systems for production. From model integration to inference pipelines, monitoring, and MLOps workflows.
Custom Software Development
Full-lifecycle development from architecture to production. Clean, modular codebases built for long-term maintainability and scale.
Cloud Application Development
Cloud-native systems on AWS and similar platforms. Containerized, auto-scaling, cost-optimized deployments built for reliability.
Web & API Development
Production-ready web applications and APIs. Performance-focused, SEO-ready, and integrated with your data and ML systems.
Database Architecture & Design
Schema design, query optimization, and data pipeline architecture for applications that need reliable data at scale.
Have a project in mind?
Let's talk about your requirements. Book a 30-minute discovery call to explore how we can work together.
Research & Development
Beyond standard development — specialized, high-depth technical work for complex problems that require rigorous thinking, not just execution.
AI System Research & Architecture
Deep technical research on AI system design — model selection, architecture trade-offs, benchmarking, and feasibility studies. I evaluate what will actually work in production before a line of code is written.
ML Engineering & Productionization
Taking models from notebook to production. Inference optimization, latency/cost profiling, monitoring setup, retraining pipelines, and MLOps infrastructure that keeps systems reliable at scale.
Technical Due Diligence
Independent assessment of existing systems, architectures, or AI claims. Useful for CTOs, investors, or teams inheriting legacy platforms. I identify risks, gaps, and improvement paths with precision.
Proof of Concept Development
Rapid prototyping of AI and ML hypotheses — built to validate ideas with real data before committing to full development. Fast, focused, and designed to answer the right questions first.
Ready to start a research engagement?
R&D projects are bespoke and scoped individually. Let's talk about what you're trying to solve.
Projects
Production systems and products I've designed, built, and shipped.
Learnova
AI-Native Education Platform
Multi-tenant SaaS serving 3 institution types from a single codebase. Built for Pakistani schools with autonomous AI agents for fee recovery via WhatsApp, NCP 2026 government compliance, and offline-first architecture.
- Autonomous AI agents in Roman Urdu + English
- NCP 2026 government compliance tracking
- Offline-first for low-connectivity environments
- Per-student subscription billing model
InfraPilot
Open-Core DevOps Infrastructure Platform
Self-hosted infrastructure monitoring platform with multi-tenant licensing, security posture scanning, and secrets management designed for DevOps teams who want full control.
- Self-hosted agent architecture
- Multi-tenant licensing model
- Security posture scanning
- Secrets management built-in
Zero-to-GPT
Interactive LLM Lifecycle Simulator
An interactive simulator covering all 8 phases of building a large language model — from research & architecture planning to MLOps — with code playgrounds and dual-layer explanations.
- 8-phase LLM lifecycle coverage
- Interactive visualizations & code playgrounds
- Dual-layer explanations (analogy + deep technical)
- Production-level system thinking baked in
Technologies
Tools and technologies I work with across the full stack.
Languages
Frontend
Backend
ML & AI
Cloud & DevOps
Databases
Experience
6+ years across the full engineering spectrum — from foundational web systems to AI-native products.
Started as a full-stack web engineer, working across the MEAN stack, Angular, Node.js, Django, and Ruby on Rails. Built everything from real-time multiplayer platforms using Socket.IO, to payment-integrated SaaS products, to enterprise CRM systems. Worked deeply with relational and document databases, REST API design, authentication systems, and deployment on AWS EC2, Docker, and Kubernetes. These early years gave me a strong foundation in how production systems are actually built and operated.
Expanded into high-complexity domains — financial trading systems, blockchain development, and decentralized applications. Wrote a Solana NFT minting machine in Rust, built a DeFi ecosystem on Ethereum with token creation and swapping, and integrated FIX protocol APIs for MT4/MT5 trading platforms in Python. Also worked on data pipelines, sports betting platforms, and a timetable generation tool for Canadian universities with Tableau visualizations. This phase sharpened my ability to work in constrained, high-stakes technical environments.
Moved further into AI-adjacent work — integrating machine learning APIs into web systems, building batch video processing pipelines, and contributing to an AI team across web and ML layers. Also worked at the intersection of enterprise engineering and data — building multi-million-user e-commerce platforms, financial web applications with complex background job systems, and cloud-native architectures with CI/CD, containerization, and AWS S3 at scale.
Today I work at the deepest level of the stack — designing and building AI systems, ML infrastructure, and data-aware architectures from scratch. As Founder and CTO of DevSimplex, I've shipped an AI-native multi-tenant SaaS platform for education with autonomous WhatsApp agents, an open-core DevOps infrastructure platform, and an interactive LLM lifecycle simulator. My focus is on systems that are clean, measurable, production-grade, and built for real-world conditions — not just demos.
Education
Get In Touch
Open to applied ML work, AI systems collaboration, technical leadership roles, and research-oriented conversations.
Book a Discovery Call
Got a project in mind? I offer a free 30-minute discovery call to understand your needs and explore how we can work together.
Schedule on Calendly