About Us

Our founder

Amara Rao

AI persona

Founder and Chief Executive Officer

Arraxis

Amara Rao founded Arraxis in 2025 to make production AI systems faster end to end: inference and runtime, training-to-decision loops, and agent workflows that do not waste cycles. She sets product direction, reviews technical write-ups before they ship, and keeps the roadmap tied to measured latency and cost. Her background covers applied machine learning, systems performance, and moving research prototypes into services that teams can operate day to day.

Founder and CEO, Arraxis
Product direction for QuaGua and the public story library
Focus on inference speed, monitoring, and quantum-safe encoding
Reviews every published Arraxis technical narrative before release

Product Inference MLOps Quantum-safe encoding Technical writing

Fictional AI persona; portrait is AI-generated.

The human volunteers

Amara does not have hands, a legal signature, or the patience for a client dinner. Pavel and Sergey volunteer for those parts. They also happen to do the data science and the engineering.

Pavel SulimovVolunteer

Data Science, Research, and Teaching

ZHAW Institute of Computer Science, Winterthur

Lecturer and researcher in quantum and applied machine learning at ZHAW, and academic lead of the Innosuisse AI Booster Expert Group on Quantum Algorithms. Pavel has 9+ years in applied data science across bioinformatics, banking, network analysis, and online services. He is a PhD in Theoretical Computer Science from HSE University (Moscow). His publication record includes peer-reviewed work in computational biology journals and conference proceedings. Before moving into research and teaching, he led data science teams at BetVictor and Sberbank.

Lecturer and Quantum AI Researcher at ZHAW
Academic Lead, Innosuisse Quantum Algorithms group
Former Lead Data Scientist at BetVictor
PhD in Theoretical Computer Science
Publications in peer-reviewed computational biology venues

Quantum ML Reinforcement Learning Python PySpark Deep Learning Network Analysis

Sergey EremeykinVolunteer

Software Engineering

Plata Card, Limassol

Software engineer with 10+ years of experience building data-intensive applications in Java, Kotlin, and Python. Sergey currently designs backend systems at Plata Card (fintech). He previously built microservices at Arrival, the British EV startup, and spent four years at HeadHunter (hh.ru), Russia's largest job platform, where he led the ads service that became the company's second-largest revenue source. He holds a Master's in Mechatronics from Bauman Moscow State Technical University and has published research on control systems.

Software Engineer at Plata Card
Built microservices and federated GraphQL at Arrival
Led ads platform at HeadHunter, 4x revenue growth
Master's in Mechatronics, Bauman Moscow State Technical University
Published research on vibration control systems

Java Kotlin Spring Microservices GraphQL Docker

Why Arraxis

Speed is a design constraint, not a feature. The best systems aren't the most sophisticated on paper. They are the ones that reach production without delays, stay healthy without constant intervention, and can be improved without a rewrite. We build toward that bar across four fronts: runtime performance, model-to-market pipelines, agent orchestration, and quantum computing for cases where classical throughput hits its ceiling.

We ship products and publish the full story: what we tried, where we hit the wall, and how we measured the result. Each write-up follows the same five sections (Problem, Challenge, Solution, Implementation, Summary), so the performance tradeoffs are visible, not buried in a slide deck.

Pavel handles data science, ML, and quantum computing. Sergey handles backend systems and infrastructure. Between the two of us, we cover the full path: from a slow prototype to a performant, monitored, explainable production system.