Azeem A

AI Team Lead

SWSAM Solutions • Fulltime

Sep 2025 - Present • 8 mos

- Leading the architecture and development of enterprise-grade AI systems, including contextual-aware LLMs, RAG pipelines, AI agents, and guardrail-based governance frameworks. - Building secure, compliant AI solutions for government and enterprise clients, integrating audit trails, data-retention policies, access boundaries, and policy-driven controls. - Designing and deploying RAG-based knowledge systems that unify documents, communication, and workflows into intelligent, searchable organizational memory. - Implementing AI guardrails, safety layers, and risk-mitigation rules to ensure secure and controlled LLM outputs across sensitive environments. - Developing proactive AI agents for workflow automation, document intelligence, and decision-support, improving operational efficiency and response accuracy. - Creating multilingual AI pipelines and LLM-based tools tailored to Saudi enterprise requirements, ensuring cultural, regulatory, and compliance alignment. - Managing cross-functional teams of AI engineers and ML developers, mentoring them in LLM fine-tuning, MLOps, and scalable deployment practices. - Collaborating with product, engineering, and leadership teams to define AI roadmaps, enhance system reliability, and deliver high-impact automation across multiple business units. - Deploying real-time ML and GenAI applications using AWS, GCP, Docker, and FastAPI, ensuring high availability, low latency, and secure integration with enterprise systems. - Leading optimization of AI models through fine-tuning, vector search enhancements, and continuous evaluation, improving system intelligence and accuracy across projects

Senior AI Specialist

Friday Media Group Limited • Fulltime

Aug 2024 - Sep 2025 • 1 yr 1 mo

- Spearheaded AI strategy and development, collaborating with engineering, product, and business teams to deploy AI-driven automation, leading to a 30% reduction in recruitment processing time and $500K in cost savings. - Defined and implemented AI governance and ethical AI practices, ensuring fairness, transparency, and bias mitigation in LLM-based applications. - Developed a roadmap for AI adoption, driving 30% efficiency gains in AI-powered recruitment automation and reducing manual resume screening time by 60%. - Mentored and led a team of 8+ AI engineers and data scientists, fostering innovation through AI research, hackathons, and knowledge-sharing sessions. - Architected and fine-tuned LLMs with RLHF, optimizing models for bias reduction and contextual accuracy, leading to a 20% improvement in AI-generated responses. - Designed and implemented an AI-powered recruitment recommendation system using BERT, TF-IDF, and cosine similarity, boosting job-resume matching accuracy by 45% and increasing candidate engagement by 30%. - Implemented and optimized Retrieval-Augmented Generation (RAG) pipelines, enhancing AI-powered search performance by 30%. - Spearheaded MLOps automation, deploying AI models on MLflow, AWS SageMaker, and Google Cloud Vertex AI, reducing model deployment time by 40%. - Enhanced AI-driven automation in recruitment, implementing resume parsing, AI screening, and intelligent candidate-job matching, reducing time-to-hire by 35%

Senior Data Scientist and Machine Learning Engineer

White Elephants Technology, Inc. • Fulltime

Jan 2024 - Sep 2024 • 8 mos

- Led ML model development as a team lead, solving complex business challenges across AI, NLP, and Computer Vision domains. - Developed a personalized AI chatbot using LangChain, GPT, and custom LLMs, improving response accuracy by 35%. - Enhanced conversational AI systems, integrating LLM-based chatbots (LangChain, Rasa) to automate and personalize customer interactions. - Led a metaverse project, creating and customizing real-time 3D models, optimizing 3D asset generation efficiency by 40%. - Solved computer vision problems by developing text-to-3D model generation systems, enhancing 3D visualization accuracy by 30%. - Utilized Stable Diffusion and GANs to generate high-quality 2D images for 3D model creation, improving image realism by 25%. - Designed AI workflows with Make and Zapier, automating data processing pipelines, reducing manual intervention by 50%. - Mentored ML engineers and data scientists, fostering innovation and knowledge-sharing, increasing team productivity by 20%.