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Full-stack AI engineer with 6+ years of experience building and delivering production-grade Generative AI, LLM, and RAG solutions for enterprise SaaS and cloud-native platforms. I design scalable backend services and real-time ML pipelines, leveraging Python, FastAPI, React, AWS/Azure, Docker, and Kubernetes. I lead remote teams and collaborate with product owners and cross-functional stakeholders to deliver secure, scalable, business-focused AI systems. My work includes predictive maintenance, process intelligence with LLM-based recommendations, and multi-tenant RAG platforms with strong authentication and tenant isolation.…Full-stack AI engineer with 6+ years of experience building and delivering production-grade Generative AI, LLM, and RAG solutions for enterprise SaaS and cloud-native platforms. I design scalable backend services and real-time ML pipelines, leveraging Python, FastAPI, React, AWS/Azure, Docker, and Kubernetes. I lead remote teams and collaborate with product owners and cross-functional stakeholders to deliver secure, scalable, business-focused AI systems. My work includes predictive maintenance, process intelligence with LLM-based recommendations, and multi-tenant RAG platforms with strong authentication and tenant isolation.

Huzaifa Tahir

Full Stack Developer, AI Engineer, Software Engineer, +2

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Full-stack AI engineer with 6+ years of experience building and delivering production-grade Generative AI, LLM, and RAG solutions for enterprise SaaS and cloud-native platforms. I design scalable backend services and real-time ML pipelines, leveraging Python, FastAPI, React, AWS/Azure, Docker, and Kubernetes. I lead remote teams and collaborate with product owners and cross-functional stakeholders to deliver secure, scalable, business-focused AI systems. My work includes predictive maintenance, process intelligence with LLM-based recommendations, and multi-tenant RAG platforms with strong authentication and tenant isolation.…Full-stack AI engineer with 6+ years of experience building and delivering production-grade Generative AI, LLM, and RAG solutions for enterprise SaaS and cloud-native platforms. I design scalable backend services and real-time ML pipelines, leveraging Python, FastAPI, React, AWS/Azure, Docker, and Kubernetes. I lead remote teams and collaborate with product owners and cross-functional stakeholders to deliver secure, scalable, business-focused AI systems. My work includes predictive maintenance, process intelligence with LLM-based recommendations, and multi-tenant RAG platforms with strong authentication and tenant isolation.

Available to hire

Full-stack AI engineer with 6+ years of experience building and delivering production-grade Generative AI, LLM, and RAG solutions for enterprise SaaS and cloud-native platforms. I design scalable backend services and real-time ML pipelines, leveraging Python, FastAPI, React, AWS/Azure, Docker, and Kubernetes.

I lead remote teams and collaborate with product owners and cross-functional stakeholders to deliver secure, scalable, business-focused AI systems. My work includes predictive maintenance, process intelligence with LLM-based recommendations, and multi-tenant RAG platforms with strong authentication and tenant isolation.

Skills

Experience Level

Expert

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Intermediate

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Intermediate

Work Experience

Full-Stack AI Engineer at Siemens

April 1, 2024 - Present

Built and led development of a production-ready AI predictive maintenance platform using machine learning and time-series forecasting (XGBoost), shifting operations from reactive to predictive maintenance. Architected scalable backend services (Python, FastAPI, REST APIs) and real-time ML pipelines processing live sensor data via Apache Kafka, with PostgreSQL and Grafana for storage and monitoring. Owned system architecture and data model design, defining component structure and storage strategy to ensure scalability and data integrity. Authored technical design documentation and performed code refactoring to improve system stability and reduce memory consumption.

Senior Engineer at Celonis

August 1, 2022 - March 1, 2025

Developed and maintained an AI-powered Process Intelligence platform, ensuring efficient, scalable, and maintainable code for process mining and workflow analysis. Refactored existing codebase to enhance system stability and optimize performance across processing and workflow analysis pipelines. Created high-level architectural design for the system structure and components, including an LLM-based recommendation engine, data ingestion, and reporting services. Planned data model and storage mechanisms using Neo4j and PostgreSQL, defining database schema and data flow while ensuring data integrity and security.

Full-Stack Developer at Mistral AI

July 1, 2020 - July 1, 2022

Engineered a production-ready multi-tenant AI SaaS platform powered by Retrieval-Augmented Generation (RAG). Built secure multi-tenant architecture with enterprise-grade authentication and tenant isolation. Developed scalable FastAPI and React applications integrating RAG and vector search, improving AI response relevance by 90%+. Automated CI/CD pipelines and deployed containerized applications using Docker, Kubernetes, and Amazon EKS, reducing deployment time by 80%.