Engineering Portfolio

Client Case Studies & Engineering Outcomes

Explore detailed architectural breakdowns of systems we have designed, delivered, and scaled in production for real-world companies.

FinTech & Quantitative Trading•AlphaDesk Capital

Sub-10ms Market Analytics & Algorithmic Trading Console

The Challenge

AlphaDesk required a high-density, real-time trading console capable of ingesting and rendering over 150,000 order-book updates per second with zero browser lag or frame drops, replacing an outdated legacy desktop terminal.

Our Architectural Solution

We engineered a custom Next.js web application utilizing WebSockets with binary protocol packing, Web Workers for background data processing, and custom canvas-based charting. The infrastructure was containerized on AWS EKS with multi-AZ low-latency peering.

68%
Latency Reduction
$45M+
Daily Volume Streamed
Consistent 60 FPS
Client FPS Performance
99.999%
System Uptime
Stack Deployed:Next.js 16TypeScriptWebSocketsGoAWS EKSRedis Pub/SubCanvas API
HealthTech & Telemedicine•MedPulse Health Systems

HIPAA-Compliant Cross-Platform Telehealth & Remote Care Suite

The Challenge

A fast-growing healthcare provider needed to consolidate fragmented patient management tools into an intuitive, offline-first mobile app and web portal compliant with strict HIPAA and SOC-2 Type II standards.

Our Architectural Solution

We built a cross-platform mobile application using React Native and Expo, featuring local-first SQLite encryption, end-to-end encrypted WebRTC video consultations, and automated integration with existing Electronic Health Record (EHR) systems.

250,000+
Active Patients Served
4.9 / 5.0
App Store Rating
+38%
Doctor Consult Efficiency
100% HIPAA/SOC-2
Audit Compliance
Stack Deployed:React NativeExpoWebRTCPostgreSQLAWS KMSNode.jsDocker
Enterprise AI & Knowledge Systems•OmniIntel Enterprise

Private Retrieval-Augmented Generation (RAG) Copilot

The Challenge

An enterprise engineering organization with over 20,000 internal specification manuals and codebase repos needed an AI assistant that could accurately answer technical queries without exposing intellectual property to public LLMs.

Our Architectural Solution

We designed and deployed an on-premise private RAG architecture utilizing fine-tuned Llama-3 models, semantic vector indexing with Qdrant, and strict role-based access control (RBAC) ensuring employees only query documents they are authorized to view.

-80%
Internal Query Turnaround
1,400+
Engineers Supported
< 0.8%
Hallucination Rate
1,200 hrs/mo
Estimated Hours Saved
Stack Deployed:PythonFastAPILlama 3Qdrant Vector DBLangChainDockerNext.js
Supply Chain & IoT•Logix Logistics Network

Global Fleet Tracking & Dynamic Route Dispatch System

The Challenge

Logix managed a fleet of 5,000+ freight vehicles across North America, suffering from telemetry data loss and high cloud hosting bills due to poorly architected cloud ingestion microservices.

Our Architectural Solution

We refactored their data ingestion pipelines using Apache Kafka and lightweight Rust microservices on Google Cloud Run, coupled with a responsive Next.js dispatch cockpit featuring real-time geospatial Mapbox layers.

-44%
Cloud Hosting Costs
100k msgs/sec
Telemetry Ingestion Rate
< 2 seconds
Dispatch Response Time
Guaranteed
Zero-Data Loss
Stack Deployed:RustKafkaGoogle Cloud RunNext.jsMapbox GLTimescaleDB

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