Available to hire
Hi, I’m Moiz Ahmed. I’m a results-driven ML/MLOps Engineer with 10+ years of experience building, deploying, and scaling ML/AI systems across AWS, Azure, and GCP. I thrive in turning complex AI ideas into production-ready pipelines with observable metrics and reliable operations. I’ve led end-to-end MLOps initiatives, optimized model lifecycles, and collaborated with cross-functional teams to ensure security and compliance in high-risk environments. From architecting generative AI solutions to automating workflows and improving uptime, my focus is on delivering practical AI that drives real business outcomes.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Fluent
Work Experience
Senior ML/MLOps Engineer at Amio
February 1, 2023 - PresentArchitected and deployed a Generative AI-powered Clinical Exam Preparation and Simulation System using Azure OpenAI (GPT models) and AWS Lambda@Edge APIs, reducing editorial turnaround time by 40%. Delivered end-to-end MLOps consulting solutions across AWS SageMaker, Azure ML, and GCP Vertex AI, standardizing model lifecycle management (build, test, deploy) for text, vision, and multi-modal generative models. Ensured safety and reliability in high-risk environments. Conducted security audits on LLM pipelines to identify and mitigate adversarial threats. Collaborated with engineering teams to align AI solutions with robust security protocols. Developed and deployed custom ML/LLM pipelines using Python and Docker, integrating model APIs into content workflows and analytics systems. Optimized prompt engineering, model versioning, and latency tuning strategies. Defined and tracked SLIs/SLOs, reducing downtime, and improving MTTR through automated rollback. Designed post-mortem templates an
Senior AI Software Engineer at InfoStack
April 1, 2023 - September 10, 2025Led development of Crane-GPT, an intelligent assistant to reduce crane operator workload and errors. Productionized BERT-based NLU services using Ray Serve and Python, reducing inference latency through optimized batching and model caching. Built and integrated Retrieval-Augmented Generation (RAG) pipelines for enterprise search with vector stores and LLMs for real-time contextual grounding. Delivered a GCP-based containerization project with secure CI/CD pipelines and container security policies. Piloted Vertex AI pipelines to automate retraining of product recommendation models, resulting in a 25% increase in relevancy during A/B testing. Worked with client architects to improve PostgreSQL backup and restoration strategies; built dashboards to monitor uptime, latency, and reliability via Grafana and custom Python scripts. Integrated ML models into backend APIs and streaming pipelines using Python and gRPC for real-time recommendations and smart routing.
Senior Full Stack Engineer at Indeform
July 1, 2020 - September 10, 2025Designed and developed full-stack web applications using Python on the backend and React on the frontend, integrating data via GraphQL and REST APIs. Built and optimized PostgreSQL-backed services with efficient query design, indexing strategies, and schema versioning. Migrated enterprise workloads from GCP to Azure through multi-phase delivery. Deployed scalable ECS-based infrastructure with automated CI/CD pipelines; contributed to disaster recovery processes and system validation scripts. Collaborated with teams to ensure robust monitoring and observability.
AI Software Engineer at Trafi
September 1, 2017 - September 10, 2025Improved system performance and uptime by automating deployment and monitoring. Refactored and optimized data pipelines to enhance business continuity and reduce failures. Contributed to operational resilience through data engineering and infrastructure upgrades.
Senior ML/MLOps Engineer at Amio
February 1, 2023 - PresentArchitected and deployed a Generative AI-powered Clinical Exam Preparation and Simulation System using Azure OpenAI (GPT models) and AWS Lambda@Edge APIs, reducing editorial turnaround time by 40%. Delivered end-to-end MLOps consulting solutions across AWS SageMaker, Azure ML, and GCP Vertex AI, standardizing model lifecycle management (build, test, deploy) for text, vision, and multi-modal generative models. Ensured the safety and reliability of AI-driven systems in high-risk environments. Conducted security audits on LLM pipelines to identify and mitigate adversarial threats. Collaborated with engineering teams to align AI solutions with robust security protocols. Developed and deployed custom ML/LLM pipelines using Python and Docker, integrating model APIs into content workflows and analytics systems. Developed internal automation tools to accelerate operational workflows and task execution. Optimized prompt engineering, model versioning, and latency tuning strategies to improve use
Senior AI Software Engineer at InfoStack
April 1, 2023 - September 10, 2025Led development of Crane-GPT, an intelligent assistant to reduce crane operator workload and errors. Supported research and cross-functional teams to deliver customized ML-driven solutions. Helped balance service quality, cost, and delivery speed through intelligent system design. Collaborated with data science teams to productionize BERT-based NLU services using Ray Serve and Python, reducing inference latency by 30% through optimized batching and model caching strategies. Built and integrated Retrieval-Augmented Generation (RAG) pipelines for enterprise search use cases, leveraging Python, vector stores, and large language models for contextual grounding and real-time retrieval. Delivered a GCP-based containerization project for Richemont’s digital stack, including secure CI/CD pipelines and container security policies. Piloted Vertex AI pipelines to automate retraining of product recommendation models, resulting in a 25% increase in relevancy during A/B testing phases. Worked with
Senior Full Stack Engineer at Indeform
July 1, 2020 - September 10, 2025Designed and developed full-stack web applications using Python on the backend and React on the frontend, integrating data via GraphQL and REST APIs. Built and optimized PostgreSQL-backed services, focusing on efficient query design, indexing strategies, and schema versioning. Migrated enterprise workloads from GCP to Azure through multi phase delivery. Deployed scalable ECS-based infrastructure with automated CI/CD pipelines; contributed to disaster recovery processes and system validation scripts.
AI Software Engineer at Trafi
September 1, 2017 - September 10, 2025Improved system performance and uptime by automating deployment and monitoring. Refactored and optimized data pipelines to enhance business continuity and reduce failures. Contributed to operational resilience through data engineering and infrastructure upgrades.
Senior ML/MLOps Engineer at Amio
February 1, 2023 - PresentArchitected and deployed a Generative AI-powered Clinical Exam Preparation and Simulation System using Azure OpenAI (GPT models) and AWS Lambda@Edge APIs, reducing editorial turnaround time by 40%. Delivered end-to-end MLOps consulting solutions across AWS SageMaker, Azure ML, and GCP Vertex AI, standardizing model lifecycle management (build, test, deploy) for text, vision, and multi-modal generative models. Implemented robust security and safety protocols for AI-driven systems, conducted adversarial threat audits, and defined SLIs/SLOs with automated rollback and blameless incident reviews. Developed and deployed custom ML/LLM pipelines using Python and Docker, integrating model APIs into content workflows and analytics systems. Built internal automation tools to accelerate operational workflows, optimized prompt engineering, model versioning, and latency tuning, and designed post-mortem templates to support mature DevOps practices.
Senior AI Software Engineer at InfoStack
April 30, 2023 - September 10, 2025Led the Crane-GPT project, an intelligent assistant to reduce crane operator workload and errors. Productionized BERT-based NLU services using Ray Serve and Python; built Retrieval-Augmented Generation (RAG) pipelines for enterprise search with vector stores and real-time grounding. Delivered a GCP-based containerization project with secure CI/CD and container security policies. Piloted Vertex AI pipelines to automate retraining of product recommendation models, achieving a 25% increase in relevancy during A/B testing. Built dashboards to monitor uptime, latency, and reliability via Grafana; integrated ML models into backend APIs and streaming pipelines using Python and gRPC for real-time recommendations and smart routing.
Senior Full Stack Engineer at Indeform
July 31, 2020 - September 10, 2025Designed and developed full-stack web applications using Python on the backend and React on the frontend, integrating data via GraphQL and REST APIs. Built and optimized PostgreSQL-backed services with efficient query design, indexing, and schema versioning. Migrated enterprise workloads from GCP to Azure through multi-phase delivery. Deployed scalable ECS-based infrastructure with automated CI/CD pipelines; contributed to disaster recovery processes and system validation scripts. Integrated ML models into backend APIs and streaming pipelines for dynamic features and recommendations.
AI Software Engineer at Trafi
September 30, 2017 - September 10, 2025Improved system performance and uptime by automating deployment and monitoring. Refactored and optimized data pipelines to enhance business continuity and reduce failures. Contributed to operational resilience through data engineering and infrastructure upgrades.
Senior ML/MLOps Engineer at Amio
February 1, 2023 - PresentArchitected and deployed a Generative AI-powered Clinical Exam Preparation and Simulation System using Azure OpenAI (GPT models) and AWS Lambda@Edge APIs; reduced editorial turnaround time by 40%. Delivered end-to-end MLOps consulting solutions across AWS SageMaker, Azure ML, and GCP Vertex AI, standardizing model lifecycle management (build, test, deploy) for text, vision, and multi-modal generative models. Ensured the safety and reliability of AI-driven systems in high-risk environments. Conducted security audits on LLM pipelines to identify and mitigate adversarial threats. Collaborated with engineering teams to align AI solutions with robust security protocols. Developed and deployed custom ML/LLM pipelines using Python and Docker, integrating model APIs into content workflows and analytics systems. Developed internal automation tools to accelerate operational workflows and task execution. Optimized prompt engineering, model versioning, and latency tuning strategies to improve user
Senior AI Software Engineer at InfoStack
April 1, 2023 - September 10, 2025Led development of Crane-GPT, an intelligent assistant to reduce crane operator workload and errors. Supported research and cross-functional teams to deliver customized ML-driven solutions. Helped balance service quality, cost, and delivery speed through intelligent system design. Collaborated with data science teams to productionize BERT-based NLU services using Ray Serve and Python, reducing inference latency by 30% through optimized batching and model caching strategies. Built and integrated Retrieval-Augmented Generation (RAG) pipelines for enterprise search use cases, leveraging Python, vector stores, and large language models for contextual grounding and real-time retrieval. Delivered a GCP-based containerization project for Richemont’s digital stack, including secure CI/CD pipelines and container security policies. Piloted Vertex AI pipelines to automate retraining of product recommendation models, resulting in a 25% increase in relevancy during A/B testing phases. Worked with
Senior Full Stack Engineer at Indeform
July 1, 2020 - September 10, 2025Designed and developed full-stack web applications using Python on the backend and React on the frontend, integrating data via GraphQL and REST APIs. Built and optimized PostgreSQL-backed services, focusing on efficient query design, indexing strategies, and schema versioning. Migrated enterprise workloads from GCP to Azure through multi-phase delivery. Deployed scalable ECS-based infrastructure with automated CI/CD pipelines; contributed to disaster recovery processes and system validation scripts.
AI Software Engineer at Trafi
September 1, 2017 - September 10, 2025Improved system performance and uptime by automating deployment and monitoring. Refactored and optimized data pipelines to enhance business continuity and reduce failures. Contributed to operational resilience through data engineering and infrastructure upgrades.
Senior ML/MLOps Engineer at Amio
February 1, 2023 - PresentArchitected and deployed a Generative AI-powered Clinical Exam Preparation and Simulation System using Azure OpenAI (GPT models) and AWS Lambda@Edge APIs, reducing editorial turnaround time by 40%. Delivered end-to-end MLOps solutions across AWS SageMaker, Azure ML, and GCP Vertex AI, standardizing model lifecycle management (build, test, deploy) for text, vision, and multi-modal generative models. Ensured the safety and reliability of AI-driven systems in high-risk environments. Conducted security audits on LLM pipelines to identify and mitigate adversarial threats. Collaborated with engineering teams to align AI solutions with robust security protocols. Developed and deployed custom ML/LLM pipelines using Python and Docker, integrating model APIs into content workflows and analytics systems. Developed internal automation tools to accelerate operational workflows and task execution. Optimized prompt engineering, model versioning, and latency tuning strategies to improve user-facing ap
Senior AI Software Engineer at InfoStack
April 1, 2023 - September 10, 2025Led development of Crane-GPT, an intelligent assistant to reduce crane operator workload and errors. Supported research and cross-functional teams to deliver customized ML-driven solutions. Helped balance service quality, cost, and delivery speed through intelligent system design. Collaborated with data science teams to productionize BERT-based NLU services using Ray Serve and Python, reducing inference latency by 30% through optimized batching and model caching strategies. Built and integrated Retrieval-Augmented Generation (RAG) pipelines for enterprise search use cases, leveraging Python, vector stores, and large language models for contextual grounding and real-time retrieval. Delivered a GCP-based containerization project for Richemont’s digital stack, including secure CI/CD pipelines and container security policies. Piloted Vertex AI pipelines to automate retraining of product recommendation models, resulting in a 25% increase in relevancy during A/B testing phases. Worked with
Senior Full Stack Engineer at Indeform
July 1, 2020 - September 10, 2025Designed and developed full-stack web applications using Python on the backend and React on the frontend, integrating data via GraphQL and REST APIs. Built and optimized PostgreSQL-backed services, focusing on efficient query design, indexing strategies, and schema versioning. Migrated enterprise workloads from GCP to Azure through multi phase delivery. Deployed scalable ECS-based infrastructure with automated CI/CD pipelines; contributed to disaster recovery processes and system validation scripts.
AI Software Engineer at Trafi
September 1, 2017 - September 10, 2025Improved system performance and uptime by automating deployment and monitoring. Refactored and optimized data pipelines to enhance business continuity and reduce failures. Contributed to operational resilience through data engineering and infrastructure upgrades.
Senior ML/MLOps Engineer at Amio
February 1, 2023 - PresentArchitected and deployed a Generative AI-powered Clinical Exam Preparation and Simulation System using Azure OpenAI (GPT models) and AWS Lambda@Edge APIs, reducing editorial turnaround time by 40%. Delivered end-to-end MLOps consulting across AWS SageMaker, Azure ML, and GCP Vertex AI, standardizing model lifecycle management for text, vision, and multi-modal generative models. Ensured safety and reliability of AI-driven systems in high-risk environments. Conducted security audits on LLM pipelines to identify and mitigate adversarial threats. Collaborated with engineering teams to align AI solutions with robust security protocols. Developed and deployed custom ML/LLM pipelines using Python and Docker, integrating model APIs into content workflows and analytics systems. Developed internal automation tools to accelerate operational workflows. Optimized prompt engineering, model versioning, and latency tuning strategies to improve user-facing applications powered by LLMs and foundation mo
Senior AI Software Engineer at InfoStack
April 1, 2023 - September 10, 2025Led development of Crane-GPT, an intelligent assistant to reduce crane operator workload and errors. Supported research and cross-functional teams to deliver customized ML-driven solutions. Helped balance service quality, cost, and delivery speed through intelligent system design. Collaborated with data science teams to productionize BERT-based NLU services using Ray Serve and Python, reducing inference latency by 30% through optimized batching and model caching strategies. Built and integrated Retrieval-Augmented Generation (RAG) pipelines for enterprise search use cases, leveraging Python, vector stores, and large language models for contextual grounding and real-time retrieval. Delivered a GCP-based containerization project for Richemont’s digital stack, including secure CI/CD pipelines and container security policies. Piloted Vertex AI pipelines to automate retraining of product recommendation models, resulting in a 25% increase in relevancy during A/B testing phases. Worked with
Senior Full Stack Engineer at Indeform
July 1, 2020 - September 10, 2025Designed and developed full-stack web applications using Python on the backend and React on the frontend, integrating data via GraphQL and REST APIs. Built and optimized PostgreSQL-backed services, focusing on efficient query design, indexing strategies, and schema versioning. Migrated enterprise workloads from GCP to Azure through multi-phase delivery. Deployed scalable ECS-based infrastructure with automated CI/CD pipelines; contributed to disaster recovery processes and system validation scripts.
AI Software Engineer at Trafi
September 1, 2017 - September 10, 2025Improved system performance and uptime by automating deployment and monitoring. Refactored and optimized data pipelines to enhance business continuity and reduce failures. Contributed to operational resilience through data engineering and infrastructure upgrades.
Education
Master’s in Computer Science at Vilnius University
August 1, 2014 - May 1, 2015Bachelor’s in Computer Engineering at University of Engineering and Technology
September 1, 2010 - May 1, 2014Master’s in Computer Science at Vilnius University
August 1, 2014 - May 1, 2015Bachelor’s in Computer Engineering at University of Engineering and Technology
September 1, 2010 - May 1, 2014Master’s in Computer Science at Vilnius University
August 1, 2014 - May 1, 2015Bachelor’s in Computer Engineering at University of Engineering and Technology
September 1, 2010 - May 1, 2014Master's in Computer Science at Vilnius University
August 1, 2014 - May 1, 2015Master’s in Computer Science at Vilnius University
August 1, 2014 - May 1, 2015Bachelor’s in Computer Engineering at University of Engineering and Technology
September 1, 2010 - May 1, 2014Master's in Computer Science at Vilnius University
August 1, 2014 - May 1, 2015Bachelor’s in Computer Engineering at University of Engineering and Technology
September 1, 2010 - May 1, 2014Qualifications
Industry Experience
Software & Internet, Professional Services, Healthcare, Media & Entertainment, Education, Manufacturing, Other, Life Sciences
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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