Staff Software Engineer | 13+ YOE | MEng Software Engineering | C#, .NET, AWS, SQL, Typescript, Node

An accomplished Staff Software Engineer with 13 years of experience and a First Class Masters in Software Engineering. Specializing in cloud architecture, real-time processing, and AI-driven solutions, I have a proven track record in leading complex projects that enhance scalability, efficiency, and innovation in technology.

Core Skills & Expertise:

• Front-End: JavaScript, TypeScript, Angular, React, HTML, CSS, Mobx, NgRx
• Back-End: C#, .NET, Node.js, Typescript, Python, Java, NestJS
• Testing: TDD, xUnit, Moq, FluentAssertions, AutoFixture, Jest, Jasmine
• Data: SQL, T-SQL, MS SQL Server, MySQL, Postgres, NoSQL, Entity Framework, PrismaORM, Dapper, DynamoDB, ETL
• Cloud & DevOps: AWS (CloudFormation, S3, Lambda, DynamoDB, SQS, SNS, SES, Elasticsearch, Kibana, Kinesis, Codepipeline, Codebuild, API Gateway, ECS, EventBridge, Redis), Docker, Jenkins, Github Actions
• Technologies: Websockets, WebRTC, RabbitMQ, BullMQ
• AI & Machine Learning: Scikit-learn, Pandas, Generative AI, OpenAI, GPT-4o, Evolutionary Computing, Feature Engineering
• Leadership: Leading technical initiatives, mentoring engineers

Work Experience & Achievements:

• Led the architecture, design, and implementation of an automated outbound call scheduling system utilising Generative AI, OpenAI, GPT4o, function calls, APIs and more to deliver automated workflows for established institutions such as the Ministry of Foreign Affairs (MOFA), Department of Municipalities and Transport (DMT), Department of Culture and Tourism (DCT), Reem Hospital, Du, Axiom, e&, AI71 and more.
• Awarded shares for virtually eliminating frequently occurring sitewide application downtime affecting all users and services. Achieved by utilising a divide and conquer approach harnessing the producer/consumer pattern in conjunction with queues, concurrency and multithreading best practices across numerous applications. Realised via comprehensive research, planning, requirements gathering, application design, development, testing, deployment and monitoring.
• Led a rigorous performance enhancement strategy for an Elasticsearch cluster, resulting in a 15% decrease in JVM memory pressure, 99% reduction in threadpool search rejections, 89% drop in average search latency, a 92% fall in application costs and a 50% drop in API requests enhancing search and reporting services for our flagship product. Utilised Cloudwatch amalgamating data from numerous metrics and logs to analyse cluster and api activity, identifying over 20 performance enhancement solutions.

What I'm Looking For:

Seeking a challenging senior role where I can leverage my skills in cloud architecture and AI solutions to drive technical innovation. I am particularly interested in opportunities that allow me to impact technological advancements and lead teams towards developing cutting-edge software solutions.