Talha M is an AI Engineer with over three years of hands-on experience designing, deploying, and operating secure, production-grade AI systems in regulated healthcare environments. He specializes in Generative AI and NLP platforms, including RAG-based architectures, GPT API integrations, and multi-agent orchestration, building end-to-end pipelines that span data ingestion, validation, inference, and audit-ready post-processing. Talha is highly proficient in Python and backend engineering using FastAPI, async SQLAlchemy, PostgreSQL/pgvector, Redis, Celery, and Docker, enabling scalable microservices, background processing, and real-time streaming via WebSockets. His expertise extends to AI systems engineering and MLOps, with a strong focus on reliability, monitoring, rollback/fallback strategies, and performance optimization under HIPAA-, GxP-, and GDPR-aligned governance. He has delivered enterprise-ready clinical AI solutions such as automated SOAP note generation, RPM data automation, RPA-based billing systems, and medical assistants, integrating technologies like LangGraph, Silero VAD, Selenium, OCR pipelines, and vector search. With a solid foundation in data engineering, compliance-driven system design, and healthcare analytics, Talha consistently translates complex clinical and business requirements into robust, compliant AI services that scale from pilot deployments to enterprise production.