Abdulmateen Tairu

• Designed and built "LLM as a Step" automation, integrating multiple LLM models into 100+ client workflows (10K+ weekly requests), reducing average handling time by 80% and QA costs by 93%
• Contributed to a monorepo of backend and frontend applications built in Django, FastAPI, Next.js and Express.js, communicating over GraphQL, tRPC, REST and Kafka
• Designed and developed a fullstack application in FastAPI and Next.js to ingest and vectorize candidate resumes (via OpenAI embeddings) and store embeddings in Pinecone for a search engine for talents
• Built RLHF pipeline using Django, Next.js, and GraphQL, integrating Gemini, GPT, and Anthropic models to improve training quality and cut operating costs
• Developed full-stack solutions and ETL pipelines to support AI-enablement workflows, processing 100K+ requests daily with 99% success
• Monitored backend system performance with Datadog; proactively identified and fixed issues related to traffic surges, concurrency bugs, and legacy regressions

• Built a real-time blockchain event indexer to capture and process smart-contract events using EtherJS, NestJS and PostgreSQL
• Developed scalable backend integrations (Stripe, custom APIs) to support admin dashboards and mobile features aligned to client requirements
• Monitored system health and performance using Grafana, ensuring service reliability and identifying bottlenecks in production environments

• Led development of SaveChecks, a key revenue-generating feature contributing to the company's $2M acquisition
• Optimized backend services for automated savings reducing average processing time by 40%, handling over ₦1B in transactions
• Provided technical leadership, defined KPIs, and enhanced code quality through reviews

• Migrated legacy backend to a scalable architecture, enabling growth to 30K+ users and over ₦1B in transactions
• Built ETL pipelines processing thousands of bank transaction alerts daily using FastAPI and NestJS
• Reduced transaction failures by 30% with improved error-handling and retry mechanisms
• Refactored payment flow, eliminating race conditions and double crediting issues, boosting payment resolution to 99.8%
• Set up CI/CD streamlining release cycles and boosting team efficiency

• Maintained a distributed backend system of Python, TypeScript and PHP applications
• Managed multiple frontend applications built in React, Next.js and Angular
• Refactored a legacy codebase into a modern microservice, delivering faster performance and seamless scalability
• Developed an ETL process creating personal workspaces for over 100K users, improving team collaboration and project management

• Built and maintained backend systems of Flask and Express.js applications for a fintech solution, processing over ₦500 million monthly
• Developed an event-based notification system using websockets and REST APIs to enhance real-time communication
• Automated payment issue resolution for businesses, improving transaction resolution speed
• Developed API clients for SOAP and REST third-party integrations

• Developed the backend for a job matching platform using Django
• Integrated Elasticsearch to enhance the search system's performance

• Developed backend systems providing real-time insights into logistics and cargo shipping services
• Created cloud functions for background tasks using Firebase Cloud Functions, ensuring seamless operations

• Managed real-time data pipelines for tracking and analyzing web activities of thousands of users, built with microservices using Python, Node.js, Kafka, and RabbitMQ

A talk on 7 subtle anti-patterns that stress backend systems and how to fix them. Covers N+1 queries, pagination strategies, hot-path aggregations, database search optimization, and more.