Polygon Mango

Platform Engineering

Designed for scale,
performance, and scrutiny.

We build cloud and AI platforms that deliver in production, data platforms that perform under load, and infrastructure for any scale, from startups to global enterprises.

Practice Areas

Cloud infrastructure, AI platforms, and data systems. Architecture and delivery across the full stack.

Technologies
Kafka
Postgres
Kubernetes
OpenShift
Docker
Terraform
AWS
GCP
Azure
PyTorch
LangChain
OpenAI
Anthropic
Redis
Kafka
Postgres
Kubernetes
OpenShift
Docker
Terraform
AWS
GCP
Azure
PyTorch
LangChain
OpenAI
Anthropic
Redis

Cloud & Platform Infrastructure

Platform engineering across AWS, GCP, Azure, and OpenShift. Cloud migrations, multi-cloud architectures, and modernization of legacy systems. Built for security, observability, and reliability at scale.

AI Systems Engineering

Production AI systems, whether self-hosted or in the cloud. LLM gateways, model training, deployment, and fine-tuning. Multi-modal AI applications with predictable costs and data privacy.

Data Platform Engineering

Data platforms for real-time streaming and batch processing. Event-driven architectures and data ingestion for analytics and warehousing. Governance, access control, and data sovereignty.

About Polygon Mango

Enterprise rigor. Startup velocity.

Who We Are

Our founder has a PhD in theoretical physics, and nearly a decade of experience designing and operating multi-cloud infrastructure, production AI platforms, and high-throughput data systems at scale. First-principles thinking applied to production systems, from early revenue to regulated enterprise.

Our Experience

Scaled a banking compliance product into a SaaS platform serving a tier-1 financial institution. Created national-scale cloud infrastructure for a healthcare platform. Designed and built high-throughput, GDPR-compliant data pipelines for LLM training. Developed multi-cloud authentication and authorization systems handling global high-throughput traffic with strict latency requirements. Built AI inference platforms serving 1,000+ concurrent users. Trained fraud detection models for a tier-1 bank. Optimized machine learning system infrastructure for a leader in industrial AI, reducing operating costs by 84%.

Our Approach

Direct engagement. Architecture-first. Built for reliability and audit.

How We Work

Architecture Review

Deep dive into your infrastructure, security, and delivery pipeline. You get a written report with prioritized findings and a migration roadmap.

Retainer

Ongoing architecture and engineering support. Regular syncs and hands-on delivery for teams that need continuous infrastructure leadership. Also available as a fractional CTO for strategic direction.

Project Based

Fixed-scope delivery for platform builds, migrations, or compliance initiatives. We define the specification alongside you, own the milestones, and deliver to spec and timeline.

Get In Touch

A direct technical conversation.

Infrastructure has no room for vibes

Architecture review before a major migration. Platform engineering for AI workloads. High-throughput data pipelines designed for scale. Compliance-driven infrastructure overhauls. This is a direct technical conversation with someone who has delivered for banking, medtech, fintech, and startups at every stage.

No sales process. Just architecture and delivery.

Who you meet is who you get
Regulated-enterprise and startup experience
Architecture review, advisory, retainer, or project