Abaiz K

AI Engineer | Machine Learning & Generative AI Specialist | LLM & RAG

Dec 2023 - Present • 2 yrs 5 mos

AI Engineer specializing in Machine Learning, Generative AI, and Large Language Model (LLM) systems. I design and deploy production-grade AI solutions ML models, GPT-powered applications, RAG systems, and AI automation workflows that help businesses reduce manual effort, increase speed, and unlock data-driven decision-making. 🔹 Core Expertise Experienced in designing scalable AI architectures using Azure serverless infrastructure, OpenAI APIs, and modern vector search frameworks. • Machine Learning model development & deployment (supervised/unsupervised) • Predictive modeling, forecasting, and data-driven insights • NLP pipelines (text classification, extraction, summarization, routing) • Generative AI & LLM applications (GPT-4 / GPT-4o / Claude / Gemini) • Advanced Prompt Engineering & structured outputs • Retrieval-Augmented Generation (RAG) architecture • Vector databases & semantic search (FAISS, Pinecone, ChromaDB) • LLM integration via APIs (OpenAI API, Azure-based serverless workflows) • AI agents, chatbots, and conversational systems • AI automation using APIs and workflow tools (n8n, Make, Zapier) • Hallucination mitigation, response validation, and reliability strategies I focus on building scalable, reliable, and maintainable AI systems — not experiments. 🧠 Notable AI Projects Delivered 📩 AI-Powered Email Intelligence System (Azure Functions + GPT) Designed and deployed a serverless AI email triage system for an organization processing 1000+ emails daily. 🔹 Problem Manual review was overwhelming, causing delayed responses to high-priority communications. 🔹 Solution • Implemented Azure Functions for automated email ingestion • Integrated GPT API for intelligent classification & urgency scoring • Built routing logic to push only critical emails to priority Outlook inbox • Automated categorization of non-urgent emails 🔹 Result ✔ Significantly reduced manual workload ✔ Improved response time for urgent communications ✔ Created scalable, automate

DevOps Engineer

Aug 2022 - Present • 3 yrs 9 mos

DevOps Engineer specializing in cloud infrastructure, CI/CD automation, and containerized application deployment across Azure and AWS environments. I design and manage scalable cloud systems, automated deployment pipelines, and secure infrastructure that help teams ship software faster while maintaining reliability and performance. Core Expertise Experienced in building modern DevOps architectures using cloud-native services, infrastructure automation, and container orchestration. • Cloud infrastructure design and deployment (Azure & AWS) • CI/CD pipeline development and automation • Containerization and microservices deployment (Docker, Kubernetes) • Infrastructure as Code and automated environment provisioning • Monitoring, logging, and performance optimization • Secure secrets management and configuration management • Deployment automation for scalable cloud applications • Cloud networking, system reliability, and operational efficiency DevOps Platforms & Tools Azure Cloud Services AWS Cloud Infrastructure Docker & Kubernetes CI/CD Pipelines (Azure DevOps / Git-based pipelines) Infrastructure Automation Cloud Monitoring & Logging Systems Notable DevOps Project Delivered ⚙️ Cloud-Native Application Deployment Pipeline Designed and implemented a fully automated CI/CD pipeline and container-based deployment architecture for a cloud application hosted on Azure. Problem Manual deployments were causing inconsistent releases, slower development cycles, and operational risks. Solution • Built a CI/CD pipeline to automate build, test, and deployment processes • Containerized applications using Docker for consistent environments • Deployed services on Kubernetes clusters for scalability and reliability • Integrated secure configuration management and deployment automation • Implemented monitoring to track system health and deployment performance Result ✔ Faster and more reliable software releases ✔ Reduced manual deployment errors ✔ Improved scalability