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**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.
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.
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).
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 turn builders into agentic engineers who ship faster, smarter, and with confidence—one-on-one. WHAT I TEACH • Agentic engineering fundamentals: design, orchestration, and evaluation of AI agents • AI-assisted development: coding workflows that 2–5x velocity without sacrificing quality • Generative AI: local and cloud image/video generation, diffusion models, and end-to-end pipelines • Complex automated workflows: retrieval, tools, function-calling, evaluators, and monitoring • Prompt engineering that scales: patterns, guards, and reproducibility • Efficiency playbook: from Cursor/Copilot prompts to claude code, opencode, amp, repoprompt, CI, telemetry, and test harnesses. WHY ME • 13+ years building production apps across startups and Uber-scale systems • 2 years hands-on in generative AI, local and cloud-hosted LLMs and image generation, prompt engineering, and automations • I focus exclusively on 1:1 teaching—no cohorts, no fluff, just outcomes HOW 1:1 WORKS • Personalized roadmap tailored to your product, stack, and constraints • Live build-and-architect sessions focused on your real projects • Fast async support for quick questions and advice between sessions • Project planning, code reviews, and architecture critiques • Developer experience upgrades: templates, dev tools, CI, prompts, and guardrails • Curated resources and practical exercises to lock in skills OUTCOMES YOU’LL GET • Ship agentic features in days, not months • Choose the right approaches for your use case and budget • Stand up local and cloud image/video generation with reproducible results • Automate complex multi-step workflows with evaluation and monitoring • Write prompts and system designs that survive real users WHO THIS IS FOR • Engineers and founders who want hands-on guidance, not theory • Teams ready to integrate AI into production with confidence READY TO LEVEL UP?
Expertise in code reviews and debugging. I want to help to get stuff done with coding.
I’m a **Senior Engineer** with 20+ years of delivering enterprise-grade software, specializing in **Java microservices, React, Node, AI/ML integrations, and scalable cloud-native architectures**. I have designed and deployed **production-ready AI platforms**, including **LLM-powered applications and Retrieval-Augmented Generation (RAG) pipelines**, for industries such as **fintech, healthcare, and SaaS**. With deep expertise in **Java, Spring Boot, Kafka, LangChain, OpenAI, and vector databases (Pinecone, FAISS)**, I build high-performance, secure, and scalable systems. I’m fully aligned to **US Eastern & Pacific time zones**, ensuring smooth collaboration with distributed teams. **Key Skills:** Java, Spring Boot, Kafka, LangChain, OpenAI API, Pinecone, RAG pipelines, AWS, GCP, Kubernetes, CI/CD, event-driven architecture. 📍 **Base:** India | **Availability:** Available for remote roles (EST/IST/CET)
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.
### 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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