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I have a strong background in machine learning, deep learning, and AI, with hands-on experience using transformers and LangChain to build intelligent systems. My work spans across computer vision, NLP, and AI-powered automation, including projects in document processing, instance segmentation, and chatbot development. I’ve also explored applications in real estate analytics, network intrusion detection, and RF energy harvesting optimization. My goal is to become a Blockchain AI Engineer, focusing on backend blockchain development with Golang and integrating LLM-based AI applications into real-world systems. I’m passionate about building scalable AI-driven products, mastering transformers, and competing in ML/AI challenges to push my skills further.
I'm Damilola Ogunmoye, a tech enthusiast, passionate result-driven solution provider, and the Co-founder and CTO at a Technology company that focuses on developing products and digital solutions; to empower forward-thinking businesses. I have a Bsc. in Computer Science with Economics and graduated with honors. I have over ten years of experience building digital products in different industries using various tools and technologies. My focus is on leading a team that delivers clean, maintainable, scalable, secured, and robust products with great architecture. I've worked with Javascript frameworks/libraries like React, Vue, ReactNative, Svelte, etc. CSS frameworks and libraries such as TailwindCSS, SASS, LESS, etc., Programming languages such as PHP, Go, Python, Javascript, etc., as well as relational and No SQL databases not limited to MySQL, MSSQL, MongoDB, Redis, PostgresSQL. I've helped build APIs for products and love building out tools for fun. I believe in continuing to innovate. One must always strive to improve by learning every day. I am currently enjoying working with Laravel, Tailwind, VueJS, and InertiaJS at the moment. Diving deep into Coding Smart Contracts in Solidity and Building Machine Learning Algorithms for Fun. Feel free to chat with me about any issues you might encounter in subjects not limited to Product Design and Architecture, Deployment (CI/CD), Detailing Technical Specifications, etc. I'll be more than willing to help.
**I’m an IT professional with 8 years of experience, currently specializing in AI, Machine Learning, and Python development.** My teaching philosophy is simple: understand where my students are starting from, then create a personalized roadmap to get them to their goal—whether it’s mastering Python basics or building real-world AI solutions. I started teaching informally to friends at a young age, and over the years, it became a passion. Today, alongside my role as an ML engineer, I have mentored over 100 professionals and students in Python, Data Science, and Machine Learning, including 4+ years as a part-time mentor for Great Learning. In my industry work, I’ve built and deployed solutions across Generative AI, Retrieval-Augmented Generation (RAG), computer vision, automation, and large-scale data engineering. My technical expertise spans Python, Unix Shell scripting, SQL, NoSQL, CI/CD pipelines, and frameworks like FastAPI and Flask. I’ve also developed hybrid automation solutions that integrate Python with Bash scripting for ETL, data migration, monitoring, and analytics. **What you can expect from me as a mentor:** * Clear, structured lessons—customized to your pace and background * Real-world coding practices from enterprise-grade projects * In-depth AI/ML concepts explained from scratch * Doubt-clearing sessions before every new topic * Practical examples connecting theory to implementation If you’re looking to build strong Python foundations, dive into AI/ML, or solve real-world automation problems, I’d love to guide you every step of the way.
Reza is an accomplished CTO and engineer with extensive experience in near-silicon design and problem-solving. He has done stream processing in all kinds of domains, using MQTT-SN, HL7 in healthcare, and mSEED and SEGY in earthquake analysis, utilizing a wide array of databases and programming languages. Passionate about building, Reza has maintained projects such as Ansible, universal-ctags, and QMK, and contributed to the Linux kernel and EDKII (UEFI).
As a seasoned full-stack architect and certified cloud developer with over 14 years of diverse IT experience, I bring knowledge and expertise to every project. My proficiency spans Java 21, Spring Boot, Spring Cloud, Python, OSGi, Apache Wicket, Node.js, Angular, and TypeScript, ensuring robust and scalable solutions tailored to client needs. My hands-on experience with Docker and Kubernetes enables me to create efficient, containerized applications that streamline development and deployment processes. Furthermore, I have vast DevOps experience, expertly utilizing Azure ADO, Git, and CI/CD pipelines to enhance development workflows and ensure seamless integration and delivery. As a certified Azure Cloud Architect, I specialize in designing and implementing cloud infrastructure that drives innovation, operational efficiency, and scalability. I have successfully architected and deployed numerous cloud-based solutions, leveraging the power of Azure to deliver high-performance, secure, and cost-effective systems. I possess strong communication skills and excel in distributed environments, ensuring clear and effective collaboration with distributed teams and clients. My ability to articulate complex technical concepts has been instrumental in driving project success. I have significant experience in Kafka, building RESTful services, and working within a microservices environment, which allows for scalable, resilient, and maintainable software architecture.
I'm Shweta, the C# corner MVP, a speaker and a girl behind YouTube channel https://www.youtube.com/@shweta-lodha. You will find that I'm incredibly passionate about helping people solving their technical problems related to Microsoft Technologies and LLM. I won several recognition from very popular forums like MSDN, Microsoft Technet, C# Corner, CodeProject for my community contributions.
I help businesses and developers leverage the power of Generative AI, RAG (Retrieval-Augmented Generation), and Agentic workflow to build cutting-edge AI applications. With hands-on experience across Azure AI, OpenAI, AWS Bedrock, SageMaker, and Databricks, I specialize in designing and optimizing AI/ML solutions tailored to real-world challenges. What I Bring to the Table ✅ RAG & Multimodal RAG – Designing intelligent retrieval-based AI systems, optimizing embeddings, and leveraging vector databases. ✅ LLM Integration & Fine-Tuning – Experience with OpenAI, Claude, Mistral, and other open-source & proprietary models. ✅ Guardrails & AI Safety – Implementing security layers, prompt filtering, and bias mitigation in GenAI applications. ✅ Agentic Workflows – Building multi-agent AI architectures for automation, knowledge retrieval, and decision-making. ✅ Enterprise AI Deployment – Expertise in cloud-native AI deployments using Azure, AWS, and Databricks. ✅ AI Evaluation & Optimization – Fine-tuning RAG pipelines for better accuracy, latency, and cost-efficiency. Industries & Use Cases 📌 Conversational AI & Chatbots 📌 Knowledge Management Systems 📌 AI-Powered Search & Document Intelligence 📌 AI for Finance, Healthcare, Manufacturing, and Automation 🚀 Whether you're looking to optimize an existing AI pipeline or build an AI-powered product from scratch, I can help you navigate the complexities of Generative AI and LLM-based systems. Let’s build something intelligent together! 💡
Expertise in code reviews and debugging. I want to help to get stuff done with coding.
### About Me I am an experienced **AI and Computer Vision Specialist** with a **Master’s degree in Computer Vision** and a recipient of the **Google Inside Look 2019 Award**. My expertise lies in developing advanced solutions in **Deep Learning, Machine Learning**, and **Image Processing**, with a strong focus on building and optimizing AI-driven systems. I have successfully built AI teams using **Gemini**, **Groq**, and **Phidata**, enabling multi-agent collaboration for tasks such as **data collection, processing, and analysis**. Additionally, I specialize in **Face Recognition**, **Object Detection**, and **Video Analysis**, leveraging technologies like **TensorFlow**, **Keras**, and **OpenCV** to deliver impactful solutions. ### Key Achievements * Optimized an object detection pipeline for a startup, reducing processing time by 40%. * Built and deployed end-to-end ML models for image classification in production environments. * Guided junior developers in designing and training custom CNNs, improving team performance. ### Mentorship Philosophy I excel at breaking down complex AI concepts into digestible steps, empowering both beginners and experienced developers. Whether you're starting your journey in AI or looking to fine-tune and scale your solutions, I’m here to guide you with practical, hands-on advice. * **GitHub**: [github.com/ahmetozlu](https://github.com/ahmetozlu) * **Papers**: [Facial Expression Recognition](https://ieeexplore.ieee.org/document/8404767/) | [Automatic Age Estimation](https://ieeexplore.ieee.org/document/8404549/)
I am an experienced Software Development Engineer and Developer mentor. I specialise in architecting, building, deploying, and integrating web applications and their backends.
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