Order Processing and Job Scheduling Web Platform
CemenTech Inc
TypeScript, Node.js, React, Mongo, Prisma, Express.js, AWS,
GitHub Actions
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Delivered frontend and backend features for an order
processing platform in the concrete industry.
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Integrated Stripe Connect, PandaDoc, TaxJax, and AvaTax
across operational workflows.
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Architected a high-performance document generation and
storage system for orders, invoices, and related documents.
Large-Scale Betting and Real-Time Sports Platforms
Entain plc
Contributed to the development and ongoing enhancement of a
large-scale online sports betting platform, delivering
frontend and backend solutions within a distributed web
services architecture supporting high transaction volumes and
real-time data processing.
Online Sports Betting Platform
.NET Core, C#, TypeScript, Angular, React, Kafka, SQL
Server, Docker
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Delivered frontend and backend features for a large-scale
betting platform with high concurrent usage.
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Developed mobile betting functionality covering UI and
backend services.
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Improved performance and reliability in a distributed,
event-driven architecture using microservices and Kafka.
Regulatory Systems Integration Platform
.NET, REST APIs, Kafka, SQL Server
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Designed and implemented a secure integration platform for
external regulatory authorities.
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Built auditable, resilient communication workflows meeting
strict compliance requirements.
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Ensured scalability and low-latency data exchange across
systems.
Sports Data Visualization & Prediction Tool
.NET, TypeScript, React / Angular, SQL
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Designed and delivered a platform for visualizing
historical sports data and prediction metrics.
- Optimized querying and rendering of large datasets.
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Enabled business users to explore complex data through
intuitive UI components.
Real-Time Sports Scoreboard & Statistics System
.NET, Kafka, Web APIs, SQL Server
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Contributed to a real-time system delivering live scores
and match statistics.
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Integrated live data feeds and optimized event processing
pipelines.
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Improved system stability during peak traffic periods.