# Hannah A. > Machine Learning Engineer | NLP & LLM Specialist | Generative AI | 5+ Years in Scalable AI Solutions Location: New York, New York, United States Profile: https://flows.cv/hannaha Experienced Machine Learning Engineer with 5+ years of hands-on expertise in NLP and LLMs, focused on building scalable and impactful AI solutions. I have successfully reduced processing time by 40% through optimized LLM implementations and led the development of Generative AI systems that significantly improved content generation workflows. With a strong command of end-to-end ML deployment pipelines, I consistently deliver high-performance models with up to 95% accuracy. Passionate about solving real-world problems using intelligent automation and data-driven approaches. Adept at leading cross-functional teams and delivering high-quality solutions for startups and enterprise clients. ## Work Experience ### Full Stack Engineer @ Azra AI Jan 2022 – Present Leveraged Large Language Models (LLMs) to generate coherent and context-aware medical diagnostic reports, improving diagnostic accuracy by up to 25%—contributing to faster, more reliable clinical decision-making. Fine-tuned YOLO models for real-time object detection on drone imagery, enhancing media analysis pipelines by 30%—demonstrating proficiency in high-performance visual AI systems adaptable to healthcare environments. Developed a CNN+SIFT hybrid model for face mask detection in public settings during COVID-19, achieving 95% detection accuracy and supporting public health safety efforts. Engineered spatial models to monitor and forecast air quality using real-time sensor data, improving environmental prediction accuracy by 15%—valuable for assessing patient risk factors in oncology. Collaborated with cross-functional teams to integrate scalable machine learning solutions into existing infrastructures, increasing system performance by 20% and ensuring interoperability in dynamic clinical environments. Led AI projects from ideation to execution, resulting in a 20% improvement in operational efficiency and tangible business value. Utilized Langgraph, Langflow, and Langsmith to build responsive agents and chatbots, improving interaction accuracy by 30%, reducing development time by 40%, and cutting operational costs by 20%—tools well-suited for streamlining oncology workflows and patient communication. ### Senior Software Engineer @ Revel Ai Jan 2021 – Jan 2022 Developed and deployed advanced NLP models powering intelligent chatbots and voice assistants, increasing patient engagement and satisfaction by 30% through more natural and responsive interactions. Mentored a team of machine learning engineers, cultivating a culture of innovation and accountability, resulting in a 15% improvement in project turnaround times. Created an AI-powered chatbot tailored to address religious queries, helping over 10,000 users monthly—demonstrating a deep respect for accessibility, personalization, and diverse user needs. ### Software Engineer @ FloatMe Jan 2019 – Jan 2021 Fine-tuned LLMs (e.g., T5 Small) with Chain of Thought reasoning to enhance support chatbots, improving member interaction accuracy by 10%. Built and deployed scalable AI features using AWS (S3, EC2), reducing infrastructure costs by 15% while maintaining high performance. Created conversational AI agents with tools like LangChain, LangSmith, and LangFlow—cutting development time by 40% and improving responsiveness by 30%. Applied deep learning to improve decision-making and personalization across the FloatMe platform, supporting smarter financial planning for users. Collaborated cross-functionally to ensure ML systems integrated seamlessly into production, increasing reliability and impact on day-to-day user experience. ## Education ### Bachelor's degree in Computer Science Northwestern State University ## Contact & Social - LinkedIn: https://linkedin.com/in/haniyyah - Website: http://alaji.network/in --- Source: https://flows.cv/hannaha JSON Resume: https://flows.cv/hannaha/resume.json Last updated: 2026-03-23