- Architected and deployed domain-specific RAG architectures, leveraging large language models (LLMs) such as Mistral Instruct, Llama 3.1, Qwen 2.5 and vector databases such as Pinecone, Qdrant and FAISS. - Led a team of engineers in packaging AI-based solutions as web applications throughout the software development lifecycle.- Fine-tuned and deployed LLMs on Azure and AWS, including multimodal models, to deliver tailored solutions for various applications.- Developed advanced… Show more - Architected and deployed domain-specific RAG architectures, leveraging large language models (LLMs) such as Mistral Instruct, Llama 3.1, Qwen 2.5 and vector databases such as Pinecone, Qdrant and FAISS. - Led a team of engineers in packaging AI-based solutions as web applications throughout the software development lifecycle.- Fine-tuned and deployed LLMs on Azure and AWS, including multimodal models, to deliver tailored solutions for various applications.- Developed advanced search and retrieval systems using techniques such as hybrid search and contextual compression techniques and frameworks such as Langchain and Llama Index to enhance information retrieval accuracy.- Deployed LLMs at scale utilizing inference engines like vLLM and quantization methods to optimize performance and achieving latency while mitigating hallucinations.- Successfully implemented AI-driven compliance tools that reduced regulatory response times by 70% for government agencies and NGOs.- Implemented robust security measures to ensure compliance with company-specific guidelines.- Utilized tools like Llama Guard to build guardrails and mitigate potential risks.- Established performance metrics for faithfulness, context relevance, and ground-truth based evaluation.- Collaborated with subject matter experts to refine model outputs and ensure alignment with user expectations. Show less

• Led the development and deployment of advanced machine learning applications, effectively managing international projects and teams. • Engineered robust Python code and scalable APIs for over 10 projects in AI, Computer Vision, Web, and IoT, utilizing frameworks such as Django, Flask, and FastAPI. • Led diverse teams in solution analysis, development, and deployment, collaborating internationally in Kenya, Thailand, India, and the Netherlands. • Strategically deployed… Show more • Led the development and deployment of advanced machine learning applications, effectively managing international projects and teams. • Engineered robust Python code and scalable APIs for over 10 projects in AI, Computer Vision, Web, and IoT, utilizing frameworks such as Django, Flask, and FastAPI. • Led diverse teams in solution analysis, development, and deployment, collaborating internationally in Kenya, Thailand, India, and the Netherlands. • Strategically deployed high-performance applications on AWS EC2 and Docker images on AWS ECS, incorporating cloud orchestration with Kubernetes to handle high-traffic deep learning workloads. • Established efficient CI/CD pipelines using Git and GitHub, ensuring the delivery of high-quality code. • Administered MySQL and MongoDB databases for large-scale applications, supporting data-driven services with over 5 million users. • Created comprehensive analytical dashboards using Plotly Dash, Tableau, and Grafana for data visualization across 8 global departments. • Expertly handled big data analytics with PySpark, enhancing data processing capabilities and efficiency for large-scale AI-driven project. Show less

• Developed and deployed chatbots in Python, enhancing user interaction and automating customer support. • Designed and maintained MySQL databases, including schema design, performing backups and restores, and optimizing queries for improved performance. • Deployed APIs on AWS EC2 and utilized AWS S3 for cloud data storage, ensuring secure access, monitoring, and scaling services for optimal performance and reliability. • Created tools and applications using Pandas, NumPy, and… Show more • Developed and deployed chatbots in Python, enhancing user interaction and automating customer support. • Designed and maintained MySQL databases, including schema design, performing backups and restores, and optimizing queries for improved performance. • Deployed APIs on AWS EC2 and utilized AWS S3 for cloud data storage, ensuring secure access, monitoring, and scaling services for optimal performance and reliability. • Created tools and applications using Pandas, NumPy, and Matplotlib for efficient data processing and analysis. Show less

AI Hub in Durham College is a state-of-the-art center promoting AI research, collaboration, and learning. It serves as a catalyst for innovation, bringing together students, faculty, and industry experts to explore and develop cutting-edge AI applications.• Deep Learning for Construction Planning: Developed a deep learning model for a local construction company, significantly reducing the time for housing floor plan analysis (identifying rooms, windows, doors, etc.) from 4 weeks to just 15… Show more AI Hub in Durham College is a state-of-the-art center promoting AI research, collaboration, and learning. It serves as a catalyst for innovation, bringing together students, faculty, and industry experts to explore and develop cutting-edge AI applications.• Deep Learning for Construction Planning: Developed a deep learning model for a local construction company, significantly reducing the time for housing floor plan analysis (identifying rooms, windows, doors, etc.) from 4 weeks to just 15 minutes.• Generative AI Chatbot Development: Built a chatbot using generative AI with a GPT-3 backend for Durham College. This chatbot provided real-time responses to student inquiries, improving communication efficiency for 40,000 students across 140 departments. The system was designed to ensure relevance and applicability in the generated responses. Show less

https://durhamcollege.ca/about/office-of-research-services-innovation-and-entrepreneurship-orsie/the-ai-hub/ai-technical-advisory-committee

Creating courses on ML and Data Science for K12 children.