Madni Ali
Software Engineer + Cloud Architecture, Backend Development, System Design, and API Development
Hi there
I'm Madni, With over 5 years of experience in software development, based in Dublin, I specialize in backend architecture and delivering scalable solutions for platforms serving 100K+ users. I’ve led initiatives that boosted performance and cut AWS infrastructure costs by 53%. Skilled in AWS, Azure, Docker, and Terraform, I design reliable, automated CI/CD pipelines for efficient and secure deployments.
I also bring full-stack development experience with React and have contributed to projects involving Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems—building intelligent, context-aware applications.
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Work Experience
P3 Financial (Cloudasset)
Senior Software Engineer -- Jan 2023 - Present
- Refactored data queries to reduce unnecessary retrieval, cutting cloud resource costs by 53%.
- Optimised real-time search and tracking logic, improving write performance by 40%.
- Automated the deployment pipeline with embedded tests, increasing delivery speed and enforcing quality.
- Redesigned dispatch algorithms to optimise delivery routes, reducing fuel use by 35%, delivery times by 30%, and wait time by 60%.
- Offloaded intensive computations from the core system to improve API throughput by 38%.
- Fine-tuned a language model to translate natural language into database queries, with caching strategies that cut API costs by 23%.
- Migrated a legacy application to a modern architecture with full test coverage.
- Mentored 4 junior developers, improving team code quality and onboarding efficiency.
Devsinc
Software Engineer -- Jun 2022 - Jan 2023
- Rewritten and optimised SQL queries, reducing initial load time and improving performance by 48%.
- Applied object-relational mapping techniques to improve data access efficiency.
- Developed high-throughput scripts and stored procedures to handle large-scale data processing.
Venexel Technologies (Techsembly) | Plan Z
Software Engineer -- Nov 2020 - May 2022
- Increased search conversion rates by 30% through database and caching optimisation.
- Modernised the frontend architecture, leading to better maintainability and user experience.
- Enhanced scalability and performance by restructuring data models and service interactions.
Projects I've worked on
Zapp - Delivering what you love, fast
A one-stop app to shop, save, and smile
- Developed and maintained multiple scalable microservices for real-time order placement, driver dispatch, and delivery tracking, handling 100K+ monthly active users and 8K+ daily orders
- Led migration from monolith to a Kubernetes-based microservices architecture on AWS, improving deployment speed by 60% and cutting infrastructure costs by 32%.
- Collaborated with 5 cross-functional teams to deliver features like multi-restaurant cart, scheduled orders, and customer loyalty rewards, increasing retention by 18%.
- Implemented CI/CD pipelines using GitHub Actions, Docker, and Terraform, reducing deployment time from 40 minutes to under 10 minutes with near-zero rollback incidents
- Built a custom language model to translate natural language into database queries, with caching strategies that cut API costs by 23%
- Optimized PostgreSQL and MongoDB queries, reducing P95 backend response times from 1.4s to 480ms, resulting in a 24% decrease in order drop-offs
- Mentored 4 junior developers, improving team code quality and onboarding efficiency
Techsembly - Powering global eCommerce for luxury retail and hospitality
One platform. Endless storefronts. Locally adapted, centrally managed
- Engineered and maintained a multi-storefront eCommerce platform enabling over 200 global hospitality brands to manage regional stores, products, and logistics from a centralized dashboard
- Built dynamic storefront provisioning tools, allowing non-technical users to deploy new, localized eCommerce sites in under 5 minutes, driving a 70% increase in conversion rates across pilot clients
- Delivered a combined checkout system supporting multiple product types (F&B, experiences, gift cards, 3rd-party vendors), reducing cart abandonment by 28%
- Optimized the database schema to reduce query times by 30% and improve data retrieval efficiency
- Developed a custom payment gateway integration, enabling seamless transactions across multiple payment providers
- Implemented a robust logging system to track and analyze application performance metrics
- Mentored 3 junior developers, improving their technical skills and knowledge of the platform
Climatica - Developing the future of sustainability
Building a platform to help businesses drive ESG impact and climate resilience
- Architected and developed a multitenant COE2 data reporting platform for global enterprises to monitor carbon emissions, supporting 50+ organizations across 120+ countries with strict data isolation and role-based access
- Built data pipelines capable of ingesting and processing over 500M+ carbon-related records monthly using Kafka, ensuring real-time compliance reporting with <2s latency
- Designed a modular calculation engine to handle thousands of complex emission factor equations, enabling custom formulas per tenant and reducing report generation time by 80%
- Implemented advanced data partitioning and indexing strategies using Elasticsearch, enabling sub-second query performance on datasets exceeding 10TB+
- Developed robust multi-tenant architecture with hierarchical org structures, allowing enterprises to create nested entities (subsidiaries, business units) with independent data governance and reporting scopes
- Ensured platform scalability and resiliency by deploying on Kubernetes with autoscaling, achieving 99.999% uptime across all reporting services
- Collaborated with sustainability consultants, data scientists, and client teams to build a configurable emissions modeling framework, enabling organizations to simulate future CO2 impact scenarios
Agzaga - Equipping America's farms, one bale at a time.
Your online farm superstore — fast, trusted, made for the field.
- Built a full-stack e-commerce solution with a React-based frontend and a Node.js backend.
- Integrated with multiple payment providers and shipping services to streamline the checkout process.
- Implemented a custom inventory management system to handle a large catalog of agricultural products.
Education
Master of Science in Artificial Intelligence
Dublin, Ireland -- Jan 2024 - Jan 2025
Bachelor of Science in Computer Science
Karachi, Pakistan -- Aug 2016 - Aug 2020