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AI systems and backend engineer focused on architecting and deploying production AI platforms powered by LLMs, RAG pipelines, and agent-based automation. Experienced in backend system design, structured output generation, real-time speech processing, and scalable containerized deployments (Docker/Kubernetes, GCP). Proven ability to take AI products from 0→1 and integrate them into live production environments, including end-to-end deployment of multi-agent voice and appointment/clinical systems, plus backend integration with APIs for speech, LLM reasoning, and analytics.…AI systems and backend engineer focused on architecting and deploying production AI platforms powered by LLMs, RAG pipelines, and agent-based automation. Experienced in backend system design, structured output generation, real-time speech processing, and scalable containerized deployments (Docker/Kubernetes, GCP). Proven ability to take AI products from 0→1 and integrate them into live production environments, including end-to-end deployment of multi-agent voice and appointment/clinical systems, plus backend integration with APIs for speech, LLM reasoning, and analytics.

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AI Engineer, Full Stack Developer, Back-End Developer, +2

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AI systems and backend engineer focused on architecting and deploying production AI platforms powered by LLMs, RAG pipelines, and agent-based automation. Experienced in backend system design, structured output generation, real-time speech processing, and scalable containerized deployments (Docker/Kubernetes, GCP). Proven ability to take AI products from 0→1 and integrate them into live production environments, including end-to-end deployment of multi-agent voice and appointment/clinical systems, plus backend integration with APIs for speech, LLM reasoning, and analytics.…AI systems and backend engineer focused on architecting and deploying production AI platforms powered by LLMs, RAG pipelines, and agent-based automation. Experienced in backend system design, structured output generation, real-time speech processing, and scalable containerized deployments (Docker/Kubernetes, GCP). Proven ability to take AI products from 0→1 and integrate them into live production environments, including end-to-end deployment of multi-agent voice and appointment/clinical systems, plus backend integration with APIs for speech, LLM reasoning, and analytics.

Available to hire

AI systems and backend engineer focused on architecting and deploying production AI platforms powered by LLMs, RAG pipelines, and agent-based automation. Experienced in backend system design, structured output generation, real-time speech processing, and scalable containerized deployments (Docker/Kubernetes, GCP).

Proven ability to take AI products from 0→1 and integrate them into live production environments, including end-to-end deployment of multi-agent voice and appointment/clinical systems, plus backend integration with APIs for speech, LLM reasoning, and analytics.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Work Experience

AI Systems & Backend Engineer at ToP Doctors Spain

December 1, 2022 - March 1, 2026

Designed and implemented multiple AI MVPs from concept to production: owned system architecture, backend development, AI integration, and production deployment. Built and maintained backend microservices (Python, FastAPI) integrating LLM systems, RAG pipelines, speech processing, and analytics into existing healthcare applications end-to-end. Architected scalable ingestion pipelines for structured and unstructured clinical data, including mobile app data collection/transformation into Google BigQuery for analytics and AI-driven chatbot systems. Developed an LLM-based clinical interoperability engine converting unstructured medical reports into structured, schema-constrained FHIR-compliant outputs using advanced prompting, structured output validation, and SNOMEDCT terminology standardization. Built real-time AI transcription to generate structured clinical documentation from live consultations and deployed a production-grade multi-agent voice AI appointment booking system integrating s

Top Doctor’s AI System & Backend Engineer at Top Doctors (Spain AI Systems & Backend Engineering)

December 1, 2022 - March 1, 2026

Designed and implemented multiple AI MVPs from concept to product delivery, owning system architecture, backend development, AI integration, and production deployment. Built and maintained backend microservices (Python, FastAPI) integrating LLM systems, RAG pipelines, speech processing, and analytics into existing healthcare applications end-to-end. Architected scalable ingestion pipelines processing structured and unstructured clinical data (including smart medical device data via mobile apps), transforming datasets in Google BigQuery to power analytics and AI-driven chatbot systems. Developed an LLM-based clinical interoperability engine converting unstructured medical reports into structured, schema-constrained, FHIR-compliant outputs (prompting strategies, structured output validation, and SNOMED CT terminology standardization). Built real-time AI transcription generating structured clinical documentation from live consultations. Deployed a production-grade multi-agent voice AI app

AI Systems Engineer at NVIDIA (Early Access Program - Spain AI & Speech Systems Engineering Intern)

June 1, 2022 - December 1, 2022

Developed a multilingual (EN/ES) real-time speech-to-text system using NVIDIA Riva. Achieved ~7% WER through domain-specific fine-tuning. Configured GCP GPU-powered Linux servers and built low-latency streaming pipelines using gRPC, proxy servers, and backend APIs. Deployed containerized services with Docker and Kubernetes to support scalable real-time inference. Built full MVPs and integrated AI speech systems into a production clinical management platform and hospital kiosk voice avatars for patient guidance.

AI & Speech Systems Engineering Intern (Early Access Program - NVIDIA) at NVIDIA Early Access Program (intern)

September 1, 2021 - December 1, 2022

Developed a multilingual (EN/ES) real-time speech-to-text system using NVIDIA Riva, achieving ~7% WER through domain-specific fine-tuning. Configured GCP GPU-powered Linux servers and built low-latency streaming pipelines using gRPC, proxy servers, and backend APIs. Deployed containerized services with Docker and Kubernetes to support scalable real-time inference. Built full MVPs and integrated AI speech systems into a production clinical management platform and hospital kiosk voice avatars for patient guidance.

Data Science & IT Support / Data Science Instructor / DataLab Lead-Head of Mentoring at El Mhamdia High School / National Institute of Applied Science and Technology (Tunisia) and TunisiaNet-IT Support

July 1, 2021 - May 1, 2022

El Mhamdia High School (DataCoLaB): Led and managed a data science mentoring team overseeing curriculum design, workshop planning, and quality assurance across AI/ML training programs. Supervised student-led ML and AI projects, providing technical guidance on model development, evaluation, and real-world implementation. TunisiaNet-IT: Managed customer complaints and technical support requests—diagnosed equipment and installation issues, restored system functionality, and implemented effective solutions for operational continuity and customer satisfaction. Technical blogger: Researched emerging technologies and wrote technical articles explaining new trends, tools, and innovations to both technical and non-technical audiences. DataCoLaB (Data Science Instructor): Delivered Data Science training with emphasis on mathematical and statistical foundations (linear algebra, probability, statistics, optimization) and theoretical principles behind ML algorithms. Supervised students through en

Tunisia Net - IT Support (Customer complaints & technical support) at Tunisia Net

July 1, 2021 - August 1, 2021

Managed customer complaints and technical support requests. Diagnosed equipment and installation issues, restored system functionality, and implemented effective solutions to ensure operational continuity and customer satisfaction.

Head of Mentoring Department / Data Science & Machine Learning Instructor

July 1, 2021 - December 1, 2022

Led and managed a data science mentoring team, overseeing curriculum design, workshop planning, and quality assurance across AI/ML training programs. Supervised student-led ML and AI projects, providing technical guidance on model development, evaluation, and real-world implementation. Delivered Data Science training emphasizing mathematical and statistical foundations, including linear algebra, probability, statistics, optimization, and theoretical principles behind machine learning algorithms. Supervised students from problem formulation and data analysis to model development, evaluation, and interpretation.

National IT Support / Technical Blogger / IT Support at Tunisia net

February 1, 2021 - May 1, 2022

Managed customer complaints and technical support requests, diagnosing equipment and installation issues, restoring system functionality, and implementing solutions to ensure operational continuity and customer satisfaction. Researched emerging technologies and wrote technical articles to explain new trends, tools, and innovations to both technical and non-technical audiences.

Technical Blogger (Research and articles) at Tunisia Net

January 1, 2021 - Present

Researched emerging technologies and wrote informative articles explaining new trends, tools, and innovations to both technical and non-technical audiences.

Airbus - Preventive Maintenance Intern at Airbus

October 1, 2020 - March 1, 2021

Developed a predictive maintenance solution that anticipates equipment failures, identifies components needing replacement, recommends required maintenance actions, and generates optimized maintenance plans based on estimated remaining time before breakdown.

Data Colab - Head of Mentoring Department at El Mhamdia High School / National Institute of Applied Science and Technology (Education Data Colab)

September 1, 2020 - May 1, 2022

Led and managed a data science mentoring team, overseeing curriculum design, workshop planning, and quality assurance across AI and machine learning training programs. Supervised student-led ML and AI projects, providing technical guidance on model development, evaluation, and real-world implementation.

Data Colab - Data Science Instructor at Data Colab

February 1, 2020 - June 1, 2022

Delivered data science training with strong emphasis on mathematical and statistical foundations, including linear algebra, probability, statistics, optimization, and theoretical principles behind machine learning algorithms. Supervised students through the design and implementation of data science and machine learning projects from problem formulation and data analysis to model development, evaluation, and interpretation.

Preventive Maintenance Intern / Full stack developer at Airbus

February 1, 2020 - March 1, 2021

Developed a predictive maintenance solution to anticipate equipment failures, identify components needing replacement, recommend maintenance actions, and generate optimized maintenance plans based on estimated remaining time before breakdown.