Professional Summary
With over 10 years of experience in training and development, I specialize in AI, Generative AI, and advanced data science, delivering high-impact learning experiences that blend conceptual clarity with hands-on implementation. I am recognized for designing and facilitating enterprise-grade training programs that empower professionals to build real-world AI solutions. My expertise spans open-source ecosystems and cloud-native AI development, with deep proficiency in Microsoft Azure's AI, ML, and generative AI services.
I have conducted and facilitated Microsoft-certified trainings for global audiences, covering AI-102, AI-3002, AI-3016, AI-3026, AI-3003, AI-3005, and DP-100, enabling learners to master modern AI architectures, RAG systems, AI agents, computer vision, natural language solutions, and end-to-end machine learning pipelines.
Technical Expertise
Core Competencies
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Programming: Python (NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow)
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Machine Learning & Deep Learning: CNNs, RNNs, transformer models for prediction, vision, and NLP
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Natural Language Processing: Sentiment analysis, text generation, conversational AI using Hugging Face and LangChain
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Generative AI: LLM-based application development, prompt engineering, grounding, and solution design
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Cloud Platforms:
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Microsoft Azure: Azure AI Services (Language, Vision, Speech), Azure OpenAI, Azure Machine Learning, Microsoft Foundry, Azure AI Search, MLOps pipelines
Microsoft Course Deliveries
AI-102 — Develop AI Solutions in Azure
Delivered AI-102: Develop AI Solutions in Azure — training global learners to design, build, and optimize end-to-end AI applications using Microsoft Foundry, Azure OpenAI, Azure AI Services, and Azure AI Search. Covered generative AI development, model deployment, RAG architectures, fine-tuning, responsible AI, evaluation workflows, and multimodal solution design.
AI-3002 — Develop Generative AI Solutions with Azure OpenAI
Delivered AI-3002: Develop Generative AI Solutions with Azure OpenAI— enabling participants to build production-ready generative AI applications using GPT models, embeddings, prompt engineering, grounding strategies, and Foundry SDK integration. Guided learners through model deployment, prompt flows, evaluation, safety controls, and enterprise-grade generative AI patterns.
AI-3016 — Implement RAG Solutions with Azure AI Search
Delivered AI-3016: Implement Retrieval-Augmented Generation (RAG) Solutions — teaching global audiences how to ground LLMs with enterprise data using Azure AI Search, vector indexes, hybrid search, chunking strategies, and prompt augmentation. Included hands-on development of RAG pipelines, evaluation techniques, and secure deployment patterns.
AI-3026 — Develop AI Agents on Azure
Delivered AI-3026: Develop AI Agents on Azure — training global learners to design, build, and deploy intelligent AI agents using Azure AI Agent Service and Semantic Kernel, including multi-agent collaboration, tool integration, dynamic tool discovery (MCP), and enterprise automation patterns.
AI-3003 — Develop AI-Enabled Applications with Azure AI Services
Delivered AI-3003: Develop AI-Enabled Applications with Azure AI Services — enabling participants to integrate language, vision, speech, and decision capabilities into modern applications. Covered API integration, model orchestration, performance optimization, and responsible AI implementation.
AI-3005 — Build and Operationalize Vision Solutions with Azure AI Vision
Delivered AI-3005: Build and Operationalize Vision Solutions — teaching learners to implement image analysis, OCR, face detection, custom vision classification, and object detection using Azure Vision and Custom Vision. Included multimodal generative AI, image-generation workflows, and deployment of vision-enabled applications in Microsoft Foundry.
DP-100 — Design and Implement a Data Science Solution on Azure
Delivered DP-100: Design and Implement a Data Science Solution on Azure — guiding global audiences through the full machine learning lifecycle using Azure Machine Learning, including data preparation, model training, hyperparameter tuning, MLOps pipelines, deployment, monitoring, and governance.
Projects
1. AI-Powered Customer Support System
Objective: Developed an NLP-based chatbot for automating customer interactions.
Technologies: Hugging Face Transformers, LangChain, Azure Cognitive Services.
Outcome: Reduced query resolution time by 40%, improving customer satisfaction and operational efficiency.
2. Generative AI for Content Creation
Objective: Designed a platform to automate content generation for marketing campaigns.
Technologies: OpenAI GPT, LangChain, Azure Cognitive Services.
Outcome: Cut manual content creation effort by 60%, accelerating campaign delivery.
3. Real-Time Analytics Dashboard
Objective: Built a dynamic dashboard to visualize key business metrics.
Technologies: Python (Dash, Plotly), Azure data services.
Outcome: Enabled real-time insights, improving decision-making and operational visibility.
Associated with Koenig since June-2023.
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