We're an AI engineering company that builds production-grade agents and provides expert evaluation services for the world's leading AI platforms.
MayamiTech was founded on a simple observation: enterprises need AI agents that actually work in production, and AI platforms need expert humans to evaluate and improve their models. We do both.
With deep roots in software architecture, machine learning research, and large-scale systems engineering, our team brings the technical rigor that enterprise AI demands. We've built systems serving millions of users, published peer-reviewed research in deep learning, and delivered thousands of expert evaluation tasks with near-perfect quality scores.
Today, we serve both sides of the AI ecosystem, building agents for enterprises that want to automate complex workflows, and providing the human expertise that AI platforms need to train and benchmark their models.
Established as a software engineering and AI services company, building scalable backend systems and early ML solutions for enterprises.
Deepened focus on machine learning and NLP, delivering custom ML pipelines, data annotation services, and intelligent automation for clients across industries.
Pivoted to the generative AI wave. Launched expert evaluation services for leading AI platforms, delivering high-quality RLHF data, model benchmarking, and domain-expert annotation.
Launched full-stack AI agent development using LangChain, LangGraph, and cloud infrastructure. Became a complete agentic AI boutique.
Growing our team and expanding globally, delivering agent development, evaluation services, and AI strategy to enterprises and platforms worldwide.
Our leadership combines decades of software engineering experience with cutting-edge AI research.
Founder & CEO
15+ years in software architecture, including roles at Al Jazeera Media Network building large-scale backend systems. Ph.D. researcher in Deep Learning with published work in neural network optimization. Now leading MayamiTech's mission to deliver production-grade AI agent solutions and expert evaluation services at scale.
Strategic / Technology Advisor
Associate Professor & Dean at the Central University of Rajasthan. 12+ years in ML/NLP research with 60+ published papers. Former postdoctoral fellow at the Norwegian University of Science and Technology (ERCIM) and Research Scientist at the National University of Singapore. Advises MayamiTech on AI strategy, model evaluation, and deep learning architecture.
These principles guide every project, every hire, and every decision.
We don't build demos. Everything we ship is designed for production: fault-tolerant, observable, and built to scale. If it can't handle real traffic, it's not done.
Every deliverable goes through multi-layer QA: automated checks, peer review, and human verification. We don't ship until it meets our quality bar.
You'll always know where your project stands. Shared dashboards, weekly demos, and direct access to the engineers doing the work. No layers, no surprises.
We move fast because we've done this before, not because we skip steps. Prototypes in days, production systems in weeks, all with proper testing and documentation.
We're growing. If you're passionate about AI and want to work on challenging problems with smart people, let's talk.
Build production-grade AI agents using LangGraph, Claude MCP, and custom orchestration frameworks. Remote.
Evaluate and annotate AI model outputs in code generation, mathematical reasoning, and technical writing. Remote.
Build internal tools, client dashboards, and agent management interfaces. Python + React. Remote.
Whether you want to hire us or join us, we'd love to hear from you.