KamaldeenSeriki

Izifin engineers high-performance fintech solutions and intelligent backend server networks.

• IziSentinel security infrastructure — Built a fraud detection system using unsupervised machine learning and real-time anomaly analysis to protect financial ecosystems and user trust.

• Merchant intelligence & AI automation — Developed intelligent chatbots for automated order reconciliation, plus a dynamic digital storefront, using Grafana to hold product reliability standards.

• Scalable API architecture — Designed high-throughput C#/.NET Core APIs powering external integrations and rapid delivery of mission-critical platform features.

• Cloud infrastructure & DevOps — Owned mission-critical cloud environments and automated CI/CD pipelines to improve release velocity and keep availability high for global end users.

• Database optimisation & engineering — Tuned SQL Server and PostgreSQL through advanced query optimisation and architectural migrations, cutting latency and lifting system scalability.

• Observability & transaction monitoring — Implemented an observability framework and transaction pipeline that cut alert fatigue with precise metric thresholds, enabling proactive resolution of system issues.

Qoryx is an AI-powered staffing platform that predicts risk and matches healthcare professionals to open shifts.

• SmartMatch recommender engine — Architected the core matching algorithm pairing doctors, nurses and phlebotomists with open shifts across skills, security clearances, live availability and geospatial distance.

• ForecastPro predictive system — Engineered a predictive analytics engine that flags staffing gaps up to 72 hours ahead, with explainable reasoning for care managers.

Pusheat is a “TikTok-for-food” marketplace where creators sell meals directly through viral video content.

• Video recommendation system — Designed and deployed the AI ranking algorithms behind the main video feed, curating creator content for engagement and order conversion.

• “Bites” gamification & wallet architecture — Engineered the loyalty backend that tracks likes, shares and downloads, then calculates and applies checkout discounts in real time.

Computer vision for unmanned aerial vehicles, building perception models for constrained edge hardware.

• UAV computer vision — Led ML development of lightweight deep learning models for plant recognition and object detection, optimised for edge deployment on UAVs.

• Edge optimisation — Reduced model inference latency to enable real-time processing on hardware-constrained aerial devices.

Consulted on data acquisition infrastructure for an advertising business.

• Automated scraping infrastructure — Crafted a resilient backend integrated with an AI-driven scraping engine to acquire business data for advertising.

• Admin API development — Spearheaded real-time administrative APIs for scraping oversight and role management.

Led engineering at an early-stage AI company building data analysis tooling.

• LLM chatbot development — Implemented an advanced RAG-based chatbot using large language models to answer complex data analysis queries, securing grant funding for the project.

• Data analysis engine — Directed development of an AI-powered engine deriving actionable business insights from heterogeneous datasets.