Abdur Rafay-Software Engineer, Machine Learning Infrastructure
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Experience
Software Engineer, Machine Learning Infrastructure
Retrocausal
- Built a WebSocket progressive streaming pipeline replacing 15+ second blocking fetches with near real time updates.
- Deployed Nginx with HLS/RTMP for live and on-demand video: reliability up 35%, latency down 30%, concurrency up 45%, bandwidth down 20%.
- Added client-side caching with AWS S3 pre-signed URLs; image loads dropped from about 5,000 ms to under 20 ms, boosting page responsiveness.
- Optimized video frame annotation pipeline by introducing Python threading to parallelize S3 uploads, reducing processing time by ~40%.
Analyst Software Engineer
ibex.
- Built a custom URL shortener generating over 1 million unique codes per minute with collision resistance.
- Implemented WhatsApp messaging via Twilio Content API with approvals and delivery/read webhooks; reduced invitation costs by 80%.
- Migrated APIs from .NET Core 3/5 to .NET 8 and standardized DI/polymorphism/versioning, yielding about 20% faster endpoints and 40% better maintainability.
- Drove test-first development with xUnit and CI, cutting release lead time from about 4 hours to under 60 minutes and improving stability.
Full Stack Developer
Virtual Sandbox
- Designed and built DulyPaid in Laravel: billing/invoicing automation with payment schedules, dunning reminders, reporting, and analytics.
- Integrated five accounting systems (Xero, FreshBooks, Sage, FreeAgent, plus one) via REST APIs, webhooks, and scheduled cron syncs; added messaging via Twilio/Nexmo.
- Set up Jenkins CI/CD with unit and integration test gates to standardize build, test, and deploy and accelerate releases.
- Implemented Redis caching and connection pooling for high availability and low-latency data access.
CNN-powered GI Tract Disease Classification diagnostic system
Built a CNN-powered GI Tract Disease Classification diagnostic system (92% accuracy) using PyTorch and Django.
Designed preprocessing and automated evaluation pipelines and integrated real-time dashboards for visualization and collaboration.
Industry Experience
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Experienced in Information Technology.
Business Area Experience
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Experienced in Information Technology and Product Development.
Summary
Results-oriented Full Stack Engineer with expertise in scalable systems, cloud-native development, and AI/ML integration. Proven track record of delivering high-performance, secure applications, including NLP-driven sentiment analysis, customer-support chatbots, and API-first data pipelines built with REST, webhooks, and automation. Skilled at driving measurable improvements in performance, reliability, and team productivity.
Skills
- Programming: Python, C#, Java, Javascript/Typescript, Php, Sql, Html/Css
- Frameworks & Libraries: .Net Core, Asp.Net Core, Node.Js, React.Js, Vue.Js, Django, Flask
- Cloud & Devops: Azure, Aws, Gcp, Docker, Kubernetes, Jenkins, Ci/Cd Pipelines, Terraform
- Databases: Postgresql, Mysql, Redis (Sql & Nosql)
- Software Engineering: Testing, Debugging, Performance Evaluation, Data Visualization
- Other: Microservices Architecture, Cloud-Native Development, Problem Solving, Cross-Team Collaboration
Languages
Education
University of Koblenz
Master’s in Web & Data Science · Web & Data Science · Koblenz, Germany
National University of Computer & Emerging Sciences
Bachelor’s in Computer Science · Computer Science · Pakistan
Statistics
Experience
Global Experience
Expertise
Qualifications
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Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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