Uriel Nguefack Yefou
Verified Expert in Engineering
AI Engineer and Developer
Montreal, Canada
Toptal member since June 16, 2026
Uriel is a senior AI engineer with over 7 years of experience specializing in large language models (LLMs), RAG systems, and intelligent workflow automation. His expertise spans MLOps, vector search, and enterprise AI solutions, with notable work at YULCOM Technologies and the Cardiology Institute of Montreal. Uriel led the deployment of agentic AI systems that reduced manual effort by 45% and improved production reliability by 25%.
Portfolio
Experience
- Python - 9 years
- PyTorch - 7 years
- Large Language Models (LLMs) - 7 years
- n8n - 6 years
- Retrieval-augmented Generation (RAG) - 5 years
- RAG Systems - 5 years
- TensorFlow - 5 years
- LangChain - 4 years
Preferred Environment
Docker, Kubernetes, CI/CD Pipelines, Google Cloud Platform (GCP), MLflow, ExcelJS, Python, Machine Learning, Large Language Models (LLMs), Artificial Intelligence (AI), Data Science, Data Security, OpenAI, Algorithms, Git, Amazon Web Services (AWS), GitHub, Retrieval-augmented Generation (RAG), AI Engineering, Computer Vision, Communication, Data Engineering, Google Cloud Storage, Software Architecture, Full-stack Development, System Design, Back-end, Performance Optimization, Web Development, API Design, Web Applications, Full-stack, Testing, Hugging Face, Automation, AI Integration
The most amazing...
...AI system I've built reduced manual effort by 45% and improved accuracy by 30% for enterprise document processing.
Work Experience
Senior AI Engineer
YULCOM Technologies
- Led the development of enterprise AI solutions, leveraged LLMs, RAG, vector databases, and semantic search technologies, and managed a team of 5 engineers.
- Built and deployed agentic AI systems using GPT-4, Claude, Llama, and Mistral, enabling intelligent task automation, knowledge retrieval, and context-aware decision making.
- Developed AI-powered automation solutions for document processing and information extraction, reducing manual effort by 45% and improving accuracy by 30%.
- Designed scalable ML and NLP pipelines for semantic search, question answering, classification, and enterprise knowledge management.
- Implemented MLOps infrastructure using Docker, Kubernetes, MLflow, and CI/CD pipelines to automate model deployment, monitoring, and lifecycle management, improving production reliability by 25%.
Senior AI Research Developer
Cardiology Institute of Montreal
- Led a high-impact research initiative focused on applying computer vision and explainable AI (XAI) to genetic ancestry analysis using ECG data.
- Developed and optimized predictive models by implementing advanced deep learning architectures (CNNs and vision transformers) and rigorous validation methodologies, including cross-validation and external dataset benchmarking.
- Engineered end-to-end reproducible research pipelines using Python, PyTorch, and MLflow.
- Represented the research outcomes as a keynote presenter at the CMDO Symposium at MILA.
- Authored technical documentation and research summaries that bridged the gap between complex AI methodologies and clinical stakeholders.
Full-stack Developer
Kamer Engineering Solutions SARL
- Architected a production-grade full-stack computer vision platform for urban infrastructure management, owning the end-to-end development lifecycle.
- Built a scalable Django REST Framework back end to serve computer vision models with secure RESTful APIs and asynchronous task queues for aerial imagery processing.
- Developed a React dashboard with real-time data visualization, map-based geospatial analytics, and dynamic reporting interfaces.
- Engineered a hybrid data architecture using PostgreSQL for infrastructure data and integrated KoboCollect survey data with Power BI for executive reporting.
- Collaborated with cross-functional teams to deploy machine learning models into production, ensuring seamless integration between back-end services and front-end interfaces.
Experience
AIMS Team Synapse | Compliance Data Analytics Dashboard
• Implemented KPIs and advanced DAX measures for insights on group submissions, multi-law reporting, and sector-based compliance.
• Built visualizations for turnover segmentation and statement visibility, improving transparency and decision-making for regulatory audits.
• Integrated enriched company profiles with external compliance links, enhancing data completeness and usability for governance teams.
• Collaborated in a team of 4 to deliver a scalable BI solution for compliance monitoring.
Jessica
• Integrated n8n workflow automation to connect email services (Gmail) and calendar APIs for seamless task execution.
• Leveraged OpenAI GPT models for generating context-aware email replies and meeting summaries
Education
Master's Degree in Data Science
Aims Cameroon - Limbe, Cameroon
Master of Engineering Degree in Industrial Robotics
National Higher Polytechnic School of Douala - Douala, Cameroon
Skills
Libraries/APIs
PyTorch, TensorFlow, jQuery, XGBoost, ExcelJS, React, Playwright, vLLM, Node.js, Claude API, PySpark, OpenCV, OpenAI API, REST APIs, Beautiful Soup, Clio API, Scikit-learn, NumPy, Pandas, LSTM, Keras, Gmail API, Google Drive API
Tools
Claude, Git, Tableau, n8n, GraphRAG, Claude Code, Codex, GitHub, Prisma, Visual Language Models (VLMs), Azure Machine Learning, Terraform, ChatGPT, Notion, Notion API, Zapier, BigQuery
Languages
Python, SQL, JavaScript, TypeScript, HTML5, CSS3, Snowflake, Rust, Regex, Java, PHP
Frameworks
LlamaIndex, Django, Express.js, LangGraph, Next.js, Agentic Frameworks, Alembic, LightGBM
Paradigms
Model Context Protocol (MCP), ETL, Quantitative Research, Testing, Automation, Business Intelligence (BI)
Platforms
Docker, Kubernetes, Google Cloud Platform (GCP), Kubeflow, Replit, Amazon Web Services (AWS), Ollama, Vertex AI, Vercel, Azure, Databricks
Storage
PostgreSQL, Datadog, Data Pipelines, Google Cloud Storage, Neo4j, MySQL, MongoDB
Industry Expertise
Marketing, Trading Robots
Other
Software Development, Large Language Models (LLMs), Retrieval-augmented Generation (RAG), OpenAI GPT-4 API, Natural Language Processing (NLP), MLflow, CI/CD Pipelines, Convolutional Neural Networks (CNNs), Deep Learning, Ajax, RESTful API Design, LangChain, Transformers, Prompt Engineering, Vector Databases, RESTFul APIs, Agentic RAG Systems, Machine Learning, RAG Pipelines, Agentic AI, Artificial Intelligence (AI), RAG Systems, AI Architecture, Optical Character Recognition (OCR), RAG Architecture, Anthropic, AI Agent Orchestration, Model Evaluation, Speech-to-Text (STT), Text-to-Speech (TTS), Data Science, AI Agents, AI Assistants, Cursor AI, Multi-agent Systems, Workflow Automation & System Integration, Data Security, OpenAI, Fine-tuning, Meta Llama, Observability, Quantization, Vector Search, Algorithms, Trading, Amazon Bedrock AgentCore, AI Hallucinations Management, API Integration, Process Automation, Workflow Automation, AI Modeling, Open-source LLMs, AI platform engineer, Machine Learning Infrastructure Engineer, Qwen, AI Engineering, Technical Architecture, Scalability, Small Language Models (SLMs), Data Protection, Transcription, Startups, Chatbots, Machine Learning Operations (MLOps), AI Model Training, LLM Integration, FastAPI, Supabase, Supabase Auth, Quantitative Modeling, Computer Vision, Communication, Data Engineering, Feature Engineering, Model Deployment, Model Development, Monitoring, Time Series Forecasting, Bayesian Statistics, Linear Regression, Random Forests, Streaming, Large-scale Data Processing, PLC, Regulatory Compliance, Software Architecture, Dashboards, Architecture, AI-assisted Development, APIs, Full-stack Development, System Architecture, System Design, Authentication, Back-end, CRM, Integration, Maintenance, Performance Optimization, SaaS, Security, Web Development, API Design, Error Handling, Data Cleaning, Statistics, Prediction Markets, Probability Theory, Image Classification, Image Segmentation, Web Applications, Full-stack, Image Analysis, Debugging, Orchestration, Agentic AI Systems, Datasets, LLM Fine-tuning, LLM Reasoning, Large Language Model Operations (LLMOps), Neural Networks, Reinforcement Learning, Scalable Vector Databases, Decision Trees, Documentation, AI Chatbots, Generative Artificial Intelligence (GenAI), Conversational AI, Regression, Web Scraping, Text Analytics, TTR, AI Copilots, Minimum Viable Product (MVP), User Experience (UX), User Interface (UI), Data Analysis, Applied AI, Knowledge Graphs, Recommendation Systems, Customer Relationship Management (CRM), Image Generation, Text to Image, Text to Image AI, Hugging Face, Multimodal Models, Open Weights, Video Analysis, OpenAI SDK, Conversational Agent, Modeling, Multi-agent Orchestration, Statistical Modeling, Model Monitoring, Webhooks, Call Tracking, Marketing Automation, Weaviate, AI Integration, Agentic Workflow Design, Workflows, Solution Architecture, Demand Forecasting, Stakeholder Management, Causal Inference, Time Series, ChromaDB, ETL Pipelines, DAX, Telegram Bots
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