Mohamed is available for hire
Hire MohamedMohamed ELMesseiry
Verified Expert in Engineering
AI Engineering Consultant and Developer
Halifax, Canada
Toptal member since July 20, 2026
Bio
Mohamed is an AI engineering consultant with 20+ years of experience building AI agents, multi-agent LLM systems, and agentic pipelines that reach production. He has built multi-agent systems for capital markets, driven a $50+ million AI portfolio across 15+ companies, and shipped GenAI SaaS, AI copilots, AIOps prediction, and automation at Valsoft, Precisely, and Dell. Mohamed pairs hands-on engineering using Python, LangChain, PydanticAI, MCP, AWS, and Azure, with technical leadership.
Portfolio
RBC Capital Markets
PydanticAI, OpenAI, Claude, AI Agents, AIOps, Data Pipelines, Cloud, Kubernetes...
Valsoft
EDIFACT, Agentic AI, pydantic ai, LangChain, Claude Code, APIs...
Precisely
AWS IoT, Azure, Amazon Bedrock AgentCore, LangChain, LangGraph...
Experience
- PydanticAI - 15 years
- Python - 15 years
- Kubernetes - 13 years
- Azure - 12 years
- AWS IoT - 12 years
- Apache Kafka - 10 years
- OpenAI - 6 years
- Agentic AI - 3 years
Preferred Environment
AWS IoT, Azure, Kubernetes, Docker, Python, Java, AIOps, Generative Artificial Intelligence (GenAI), Retrieval-augmented Generation (RAG)
The most amazing...
...AI platform I've built is a multi-agent LLM system for capital markets, turning weeks of manual reporting into minutes.
Work Experience
AI Engineering Consultant
2026 - PRESENT
RBC Capital Markets
- Architected and delivered intelligent automation systems at the intersection of financial analytics and applied AI within capital markets strategy and planning.
- Built multi-agent LLM systems that reason over complex capital markets workflows, surfacing insights through natural language interfaces over structured financial data.
- Designed automation pipelines that eliminated manual reporting bottlenecks and reduced analyst cycle time across strategic planning functions.
- Developed LLM evaluation frameworks, MLOps infrastructure, and self-hosted agent platforms using PydanticAI, CohereAI, and models from OpenAI and Claude.
- Spanned the full AI stack, including prompt architecture, model evaluation, development using AI, deployment, observability, and risk governance.
- Closed the gap between AI pilot and production system by translating proof-of-concept (PoC) agents into operationalized solutions within regulated financial environments.
- Advised multiple teams on best practices and procedures for governance, testing, and evaluation of tools.
Technologies: PydanticAI, OpenAI, Claude, AI Agents, AIOps, Data Pipelines, Cloud, Kubernetes, Software Architecture, Artificial Intelligence (AI), RAG Architecture, Retrieval-augmented Generation (RAG), Technical Leadership, Agentic RAG Systems, RAG Pipelines, Fractional CTO, Workshop Facilitation, Training Workshops, Full-stack
AI Engineering Lead
2025 - 2026
Valsoft
- Spearheaded the design and development of AI capabilities across a diverse portfolio of 15+ global subsidiary companies, driving innovation at scale.
- Reported directly to the chief technology officer, leading strategic AI initiatives that directly contributed to revenue growth and competitive differentiation.
- Drove a $50+ million annual investment portfolio in AI technologies, accelerating enterprise value through scalable, production-grade AI systems and platform enablement.
- Led cross-functional teams of consultants, developers, and stakeholders—both local and offshore—to rapidly prototype and deliver AI-driven solutions across sectors.
- Designed and developed EDI Compass and X12 EDI exchange SaaS solution supporting 25% of the book publishing industry in the US, integrating 140+ bookstores with publishing houses like Penguin Random House and Harper Collins.
- Implemented GenAI for message transformation from JSON to X12 and EDI standards, reducing partner onboarding time from weeks to minutes.
- Built custom AI applications, including chat assistants, Microsoft Copilot experiences, NLP search, analytics, and AI automation workflows for SaaS and enterprise software products.
- Designed Cubex AI, utilizing ML and GenAI for 3D bin packing, adopted by shipping and manufacturing software across Canada and Europe.
Technologies: EDIFACT, Agentic AI, pydantic ai, LangChain, Claude Code, APIs, Software Architecture, Artificial Intelligence (AI), RAG Architecture, Retrieval-augmented Generation (RAG), Data Pipelines, Technical Leadership, Agentic RAG Systems, RAG Pipelines, Fractional CTO, Workshop Facilitation, Training Workshops, Full-stack
AI Implementation Lead
2024 - 2025
Precisely
- Led the research and development of ML and GenAI solutions for the Precisely Data Integrity Suite SaaS platform.
- Spearheaded the development team as a lead architect, owning the Scrum process and organizing cross-functional development and test teams to push AI products from local experiments through development to production.
- Built the Precisely Copilot experience, delivering a no-code interface for managing data assets and optimizing data quality.
- Incorporated GenAI automations to generate asset descriptions, identify counties in addresses, and detect data completeness and compliance.
- Prototyped and deployed AI capabilities in production, including AI assistance, summarization, descriptive generation, geospatial support, chatbots, and AI agent workflows.
- Developed AI agent workflows with access to internal tools and resources, leveraging local LLMs and cloud-hosted models via AWS and Azure, providing CLI, chat, and API interfaces for internal process automation and DevOps support.
Technologies: AWS IoT, Azure, Amazon Bedrock AgentCore, LangChain, LangGraph, Natural Language Processing (NLP), Software Engineering, Java, Spark, MLflow, AutoML, AI Agents, AIOps, Software Architecture, Artificial Intelligence (AI), RAG Architecture, Retrieval-augmented Generation (RAG), Data Pipelines, Technical Leadership, Agentic RAG Systems, RAG Pipelines, Fractional CTO, Workshop Facilitation, Training Workshops, Data Science, Full-stack
Lead Principal Architect, AIOps and Cloud
2019 - 2024
Dell
- Led the AIOps development team comprising data scientists, solution architects, and developers, building the next generation of AI and cloud automation tools for telco cloud infrastructure.
- Built an AIOps Simple Definitive API for telemetry prediction of telco cloud services, leveraging ML for anomaly detection, correlation analysis, and time-series forecasting.
- Developed AI/ML applications enabling time-series data correlation forecasting and an automated MLOps/DevOps pipeline for model training, inference, and serving of AIOps models.
- Created AI architecture frameworks and reusable design patterns guiding the implementation of scalable enterprise-grade AI solutions.
- Led the end-to-end product management of Dell telco AIOps solutions from ideation through roadmap planning, development, sales enablement, and go-to-market (GTM) strategy.
Technologies: TensorFlow, MLflow, Apache Kafka, Kubernetes, Ansible, Machine Learning, Grafana, Software Architecture, Data Pipelines, Technical Leadership, Agentic RAG Systems, RAG Pipelines, Fractional CTO, Workshop Facilitation, Training Workshops, Data Science, Full-stack
Senior Architect, Telco Cloud
2015 - 2019
Dell
- Led the architecture and design of Red Hat OpenStack telco cloud deployments at top-tier communication service providers in KSA, UAE, Egypt, Bahrain, Germany, the UK, and Japan.
- Acted as a regional subject matter expert (SME) in performance analytics, integrating EMC Service Assurance Suite, watch4net, VMWare, vRealize, Hyperic, Solarwinds, PRTG, Dynatrace, and Cisco AppDynamics, with 3rd-party tools.
- Contributed to developing an open-source OpenStack cloud automation project, dsp-jetpack, using Python and Ansible, implemented with multiple clients, including NTTD Japan, Spain, Etisalat, Verizon, and AT&T.
- Built an early OpenStack cloud reference architecture integrating Dell software-defined storage, ECS ScaleIO, enabling acceleration features like SR-IOV, CPU pinning.
- Spearheaded integrations of IT network application performance monitoring observability tools, ensuring network operations SLA of 99.99% at multiple telco operators across the Middle East and Turkey.
Technologies: OpenStack, Ansible, VMware, Application Performance Monitoring, Software Architecture, Data Pipelines, Fractional CTO, Workshop Facilitation, Data Science, Full-stack
Lead of Solution Architect Team, System Integrations
2011 - 2015
Itlogia
- Led a team of 15 solutions consultants and developers delivering high-quality data integrations and monitoring solutions, as well as professional services.
- Developed custom integrations and data pipelines for Tier 1 telco providers in the Middle East, Africa, and Europe, which were later productized as part of the Dell EMC Service Assurance Suite.
- Integrated IT network application performance monitoring solutions from Dell EMC, Compuware AppDynamics, VMWare, SolarWinds, and other open-source tools.
Technologies: AppDynamics, SolarWinds, Application Performance Monitoring, Software Architecture, Data Pipelines, Fractional CTO, Workshop Facilitation, Data Science, Full-stack
Experience
EDI Compass | X12 EDI Exchange SaaS
Designed and developed EDI Compass, a SaaS EDI exchange platform supporting 25% of the US book publishing industry. It integrates 140+ bookstores with publishers such as Penguin Random House and HarperCollins. I implemented GenAI to transform messages from JSON to X12 and EDIFACT standards, reducing partner onboarding time from weeks to minutes. I also owned the architecture end to end, including multi-tenant SaaS design, AI-powered mapping engine, validation, and monitoring.
Capital Markets Strategy and Planning AI Platform
Architected and developed a multi-agent AI platform for RBC capital markets strategy and planning, enabling natural language querying over structured financial data and automated generation of financial reports. I built agent workflows with PydanticAI and MCP server tools, LLM evaluation frameworks, and self-hosted agent infrastructure using OpenAI, Claude, and Cohere models.
The platform eliminated manual reporting bottlenecks and reduced analyst cycle time within a regulated financial environment.
The platform eliminated manual reporting bottlenecks and reduced analyst cycle time within a regulated financial environment.
Royal LePage Atlantic | Engage AI
Designed and developed a software solution for real estate brokerage management using GenAI. I delivered an AI-powered data search experience, sentiment analysis of agent performance reviews, a meeting transcription service, and 100+ automated data reports, providing brokerage leadership with real-time insights into agent performance and operations across the business.
Cubex AI | 3D Bin Packing
Designed and developed an application that combines ML, optimization algorithms, and GenAI to provide users with an interactive 3D bin packing experience.
Cubex AI computes optimal container and pallet packing plans and visualizes them in 3D. It has been adopted by shipping and manufacturing software vendors across Canada and Europe to cut freight costs and planning time.
Cubex AI computes optimal container and pallet packing plans and visualizes them in 3D. It has been adopted by shipping and manufacturing software vendors across Canada and Europe to cut freight costs and planning time.
AIOps Telemetry Prediction API
Built an AIOps definitive API for telemetry prediction of telco cloud infrastructure services at Dell.
The API leverages ML for anomaly detection, correlation analysis, and time-series forecasting over infrastructure telemetry, with an automated MLOps pipeline for model training, inference, and serving. It powers proactive operations for telco cloud deployments and informs the next generation of Dell AIOps products.
The API leverages ML for anomaly detection, correlation analysis, and time-series forecasting over infrastructure telemetry, with an automated MLOps pipeline for model training, inference, and serving. It powers proactive operations for telco cloud deployments and informs the next generation of Dell AIOps products.
Precisely AI Agents | Copilot Experience
Built a no-code Copilot experience for the Precisely Data Integrity Suite SaaS platform, enabling users to manage data assets and optimize data quality through natural language. I incorporated GenAI automations to generate asset descriptions, identify counties in addresses, and detect data completeness and compliance. I also developed AI agent workflows with access to internal tools through CLI, chat, and API interfaces.
Chaos Testing Toolchain for Telco Cloud
Designed and built a chaos engineering toolchain and test cases for Dell telco cloud platforms (Wind River and Red Hat) covering 5G, edge, and core deployments.
The toolchain validated the resilience and availability of cloud services under disruption and baselined power consumption and performance of the Dell infrastructure across multiple load levels, increasing confidence in carrier-grade SLAs.
The toolchain validated the resilience and availability of cloud services under disruption and baselined power consumption and performance of the Dell infrastructure across multiple load levels, increasing confidence in carrier-grade SLAs.
Education
2006 - 2007
Master's Degree in Information Technology
University of Sunderland - Sunderland, England, United Kingdom
Certifications
APRIL 2024 - PRESENT
LLMOps with Google Cloud
DeepLearning.AI
APRIL 2024 - PRESENT
Generative AI with Large Language Models
DeepLearning.AI
JANUARY 2020 - PRESENT
Machine Learning
Stanford University
JANUARY 2020 - PRESENT
AI Developer Professional Certificate
DeepLearning.AI
JANUARY 2020 - PRESENT
TensorFlow Developer Professional Certificate
DeepLearning.AI
Skills
Libraries/APIs
TensorFlow, PyTorch, Scikit-learn, React, PyCaret, Node.js, Pydantic
Tools
Claude, Microsoft Copilot, Git, Ansible, Terraform, VMware, Jenkins, AutoML, n8n, Shell, Grafana, Claude Code, AppDynamics, SolarWinds, Oracle Cloud Infrastructure (OCI) Generative AI
Languages
Python, JavaScript, SQL, Java
Frameworks
Agentic Frameworks, LangGraph, Angular, .NET, Spark, AWS HA
Storage
Data Pipelines, Elasticsearch, Redis, InfluxDB, MongoDB
Paradigms
Model Context Protocol (MCP)
Platforms
AWS IoT, Azure, Kubernetes, OpenStack, Kubeflow, Docker, Apache Kafka, Amazon Web Services (AWS)
Other
PydanticAI, OpenAI, EDIFACT, Natural Language Processing (NLP), Retrieval-augmented Generation (RAG), Agentic AI, pydantic ai, Machine Learning, Application Security, Large Language Models (LLMs), Deep Learning, Generative Artificial Intelligence (GenAI), Software Architecture, Artificial Intelligence (AI), CTO, RAG Architecture, Agentic Workflow Design, Technical Leadership, Agentic RAG Systems, RAG Pipelines, RAG Systems, Fractional CTO, Employee Upskilling, Workshop Facilitation, Prompt Engineering, Data Science, Training Workshops, Full-stack, Hugging Face, LangChain, Transformers, CI/CD Pipelines, MLflow, Computer Vision, Amazon Bedrock AgentCore, Pydantic AI, AI Agents, Dify, Azure AI Foundry, FastAPI, Kafka, Prometheus, AIOps, Cloud, APIs, Software Engineering, Application Performance Monitoring, Web Security, eCommerce, Machine Learning Operations (MLOps), Training
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