Harris Maqsood

Senior AI Engineer

Search Atlas • Freelance

Dec 2023 - Present • 2 yrs 8 mos

Architected and deployed LLM based pipelines to automate SEO data analysis, semantic feature extraction and content recommendations at scale. Designed and productionized RAG enabled backend services for multi step AI workflows, including metadata optimization, structured data generation and automated content improvement. Engineered vector embeddings, semantic search and clustering pipelines to support context aware ranking, topical mapping, and keyword relevance scoring across billions of documents. Developed AI microservices with async task orchestration, caching and optimized database integration to serve real time inference and actionable insights.

AI/LLM Engineer | Python Developer | RAG Systems | Generative AI

Sully.ai • Full-time

Dec 2021 - Dec 2023 • 2 yrs

Built Python backend systems for multiple AI agents handling clinical workflows such as documentation, intake, triage and coding. Developed retrieval and embedding pipelines for structured and unstructured patient data to support agent reasoning and context aware outputs. Engineered low latency inference microservices with async task orchestration, enabling real time multi step agent workflows integrated with EHR systems. Created agent coordination layers managing state, context passing, and task handoffs between agents to ensure consistent and auditable outputs.

Python & AI Engineer | AI Application Developer | Backend Systems | Machine Learning Integration

Code Ninja • Full-time

Dec 2017 - Dec 2021 • 4 yrs

Designed and developed scalable AI enabled web applications, integrating Python based backend services with modern frontend frameworks to deliver intelligent, data driven user experiences. Engineered robust backend systems using Python (FastAPI/Flask) building secure RESTful APIs to support machine learning models and real time data processing. Integrated AI/ML models into production environments, enabling predictive analytics, automation, and smart application features. Designed and optimized PostgreSQL and MongoDB databases, implementing efficient data pipelines and query optimization for large scale datasets. Implemented structured data flow and state management strategies to improve application performance and reliability. Developed automated testing pipelines and validation workflows to ensure model accuracy, backend stability and high quality releases.