Murtaza Kazmi

About

Software Engineer with 1+ years of experience building scalable web applications, enterprise SaaS platforms, and AI-powered solutions. Proven expertise in full-stack development, system design, and team collaboration. Track record of delivering high-performance systems serving millions of users with 99.9% uptime. Strong background in micro-services architecture, API development, and cloud infrastructure.

Experience

Software Engineer

DUBIZZLE GROUP

July 2025 - Present

Current

- Developed and scaled the Loom messaging platform to support hundreds of thousands of daily conversations using RabbitMQ, Redis, and Socket.io, improving real-time message delivery reliability across distributed services. - Led migration from third-party vendor (Gupshup), saving thousands of dollars in monthly operational costs. - Built multi-factor authentication system securing 20M+ daily API requests with JWT, OAuth2, and OTP. - Optimized database migration for 990M+ records with zero downtime using batch processing strategies. - Designed a scalable multi-tenant architecture with dynamic timezone handling and role-based access control, enabling efficient onboarding of enterprise clients across multiple regions. - Integrated GitHub Actions with ArgoCD for GitOps-driven CI/CD pipeline with automated unit testing using AI rules achieving 95% code coverage. - Implemented Redis clustering for real-time message delivery and background job processing across distributed pods. - Designed and deployed an LLM-powered MCP server using Retrieval-Augmented Generation (RAG), enabling natural-language querying and semantic search over enterprise databases. - Designed and developed complex, responsive frontend interfaces with a focus on performance, usability, and cross-platform consistency. - Collaborated in development of Propforce CRM, enterprise SaaS platform serving 2,000+ real estate agents across UAE/KSA.

Software Developer Trainee

Bakhabar Kissan BKK

January 2025 - June 2025

- Built and integrated an LLM-powered farmer support chatbot using RAG architecture with external vector database for semantic search and contextual responses. - Improved backend performance and reduced query latency by ~40% through code refactoring, query optimization, and caching strategies. - Designed and implemented scalable API endpoints supporting agricultural data services for 50K+ farmers across the platform. - Implemented Redis caching and Celery workers for background processing, reducing API latency by 60%. - Automated and optimized AI-driven workflows (including query classification and response routing), reducing manual data processing time by ~25% and improving system efficiency.

Education

Bachelor of Science

NUCES (FAST)

June 2021 - June 2025

Field: Computer Science

Coursework: Software Engineering, Software Design and Analysis, Database Systems, Data Structure, OOP, Design and Analysis Algorithm, Cloud Computing, Web Programming, Mobile Development, MLOPS, Generative AI, Statistical Modelling, Blockchain

Skills

Intermediate

Adaptability Airflow ArgoCD AWS C# C++ CI/CD Django Docker DocumentDB Express.js FastAPI Firebase GitHub Actions Go Grafana HTML/CSS Hugging Face Java JavaScript Kotlin LangChain LLM Integration Material UI MLFlow MongoDB MySQL .NET .NET Core NextJS Node.js OpenAI API OpenCV PostgreSQL Problem-solving Prometheus Python PyTorch ReactJS Redis REST APIs S3 SQLite Tailwind Team collaboration TensorFlow Time management