Muhammad Talha

Backend & AI Infrastructure Engineer(SaaS Platform Development & Scaling)

Startup Hakk • Full-time

Aug 2024 - Present • 1 yr 9 mos

Contributed to the architecture, stability, and scaling of a production SaaS platform, focusing on backend reliability, DevOps automation, and AI driven system enhancements. Responsibilities & Impact: • Designed and maintained production grade server environments, ensuring high availability and stability during critical deployments. • Implemented structured CI/CD pipelines using Azure DevOps, enabling automated testing, version control, and controlled production releases. • Developed orchestration based background workers to handle asynchronous tasks and large scale data processing reliably. • Integrated third-party CRM systems and built structured data flow pipelines to ensure seamless synchronization across services. • Optimized PostgreSQL queries and indexing strategies to improve performance for large datasets and transactional workloads. • Architected modular backend components using .NET 8 and C#, ensuring scalability, maintainability, and clean separation of concerns. • Supported critical production deployments and participated in incident resolution to maintain service continuity. AI Infrastructure & Automation: • Designed and deployed a dedicated self hosted AI inference server using high performance GPU hardware (RTX class) to support internal AI processing. • Configured and managed LLaMA server for on premise model inference to reduce dependency on third-party APIs. • Implemented secure remote connectivity using FRPC tunneling for controlled and secure access to AI infrastructure. • Developed AI powered agents for forecasting and business automation workflows. • Integrated external AI services including Gemini and Claude to create hybrid AI processing pipelines. Technologies Used: .NET 8, C#, PostgreSQL, Azure DevOps, Docker, LLaMA, FRPC, AI API Integrations, Server Configuration & Deployment.

Full Stack Developer | PlayPickup (Social Sports Platform)

PlayPickup • Freelance

Feb 2022 - Apr 2024 • 2 yrs 2 mos

As Lead Developer, I architected a high-concurrency social sports ecosystem from scratch using .NET 8 and Angular. My focus was on bridging physical sports with digital networking through real-time data and AI. System Architecture: Engineered a scalable backend using .NET Core with Clean Architecture and CQRS patterns. Developed a hybrid data layer using EF Core for complex relations and Dapper for high-performance, low-latency read operations in MySQL (utilizing optimized Stored Procedures). Real Time Engagement: Integrated Socket.IO and SignalR to power 1-on-1 chats, group lobbies, and live match data transfers, supporting thousands of concurrent connections. AI Integration (Gemini & Claude): * Leveraged Google Gemini for intelligent matchmaking, analyzing player skill/behavior to suggest optimal team balancing. Integrated Claude 3.5 for context-aware community moderation and sentiment analysis in group chats. Automated match recaps using Generative AI to create shareable social media content. Global Logic: Built a custom Time Management Engine to handle seamless match scheduling across global time zones (UTC to Local synchronization). DevOps & Automation: * Setup Nginx reverse proxy, SSL, and domain hosting on custom servers. Orchestrated complex Cron Jobs for automated notifications via AWS SES/SNS and background data injection. Established CI/CD pipelines via GitHub Actions for automated testing and deployment. Impact: Delivered a 40% improvement in API response times and a 65% increase in user engagement through AI driven features. Tech Stack: Asp.NET 8, Angular 17, MySQL, Dapper, Redis, AWS (SES/SNS/EC2), Socket.io, Gemini/Claude APIs, Nginx, Docker.