Designing enterprise software, intelligent systems, and scalable cloud platforms that solve complex business problems.
A clinical platform connecting patients with healthcare professionals for coordinated, informed treatment — secure records, role-based access, and clean clinical workflows.
Live market-price streaming with sub-second updates and zero client polling — SignalR hubs over persistent WebSocket connections broadcasting to many concurrent clients.
A reusable, regulation-compliant integration library powering local-bank payments at high throughput — modular adapters and idempotent processing impacting 1M+ users.
A conversational assistant that processes user input and returns relevant, contextual responses through the OpenAI API — a natural-language interface over business workflows.
50+ algorithmic trading systems for automated market analysis and execution. High-performance trade algorithms and quantitative models, validated against large volumes of live market data to drive trading performance and operational efficiency.
How the systems actually fit together — data flow, boundaries, and the patterns that keep them fast and reliable at scale.
Lead architecture, development, and deployment of enterprise-grade platforms serving business-critical operations. Refactored a legacy Risk Evaluation & Reporting Platform, cutting response times by ~40%, modernized ASP.NET MVC, Web API, React and Blazor frontends, and own release pipelines on Azure DevOps while mentoring engineers and setting standards.
Led code reviews and enforced standards across a large-scale payment service library potentially impacting 1M+ users, and contributed to the widely-used Mono API library — refactoring for efficiency and reliability in financial applications.
Improved code quality and user engagement on an ASP.NET Core project, reducing page load time by 40%, and drove cross-functional collaboration and engineering best practices to tighten development cycles.
Designed and optimized 50+ algorithmic trading systems for market analysis and automated execution, building high-performance financial algorithms using MQL4/MQL5 (C# related) with quantitative modeling and validating strategies against large volumes of market data.
High-performance services and APIs across the .NET stack, concept to production.
Cloud-native deployment, containers, and automated delivery pipelines.
Decoupled, event-driven services that stay fast and resilient under load.
LLM-powered features and agents, grounded with retrieval and orchestration.
Modern, typed interfaces that stay maintainable as products grow.
Clean, testable system design that holds up to change and scale.
First runner-up for an AI-powered Telco Network Operations Centre — intelligent automation applied to real telecom operations.
AI SKILLS WEEK HACKATHON 2026Open to senior engineering, architecture, and AI roles. If you're building something complex, let's talk.