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**📝 Profile Context / Summary** With 10+ years across enterprise IT and global freelancing, I am an AI-Stack Architect—not just a full-stack developer. In 2026, the industry has shifted decisively: software is no longer just written; it is architected, governed, and continuously learned. The most valuable engineers are no longer those who simply write code, but those who can turn code into cognition—engineers fluent in the AI-stack. I am that engineer. I design and build agentic platforms—systems where AI doesn't just assist but actively plans, builds, tests, and releases software. I have successfully delivered complex solutions across Medical, Fintech, Employee Management, and SaaS industries, handling everything from AI-native frontends to hyper-scalable microservices with autonomous agent orchestration. **🤖 AGENTIC AI & MACHINE LEARNING** 2026 is the breakout year of AI inferencing—where trained models generate predictions and outputs from new data. Most AI computing is now spent on inference rather than training. I specialize in: Agentic AI & Orchestration: LangChain, LlamaIndex, AutoGen, CrewAI—building multi-agent systems that plan, act, and adapt in real time. Full-stack agent platforms combining proprietary training data, planning models, and custom actuation layers. Generative AI & LLMs: OpenAI GPT-4/API, Google Gemini, Anthropic Claude, HuggingFace Transformers. Retrieval-Augmented Generation (RAG) with vector databases (Pinecone, Chroma, Weaviate, FAISS). AI-Native Development: 42% of committed code is now AI-generated, projected to reach 65% by 2027. I don't just use AI tools—I orchestrate AI agents across the entire SDLC: planning, design, build, test, deployment, and maintenance. Deep Learning & Classical ML: TensorFlow, PyTorch, CNNs (Computer Vision), RNNs/LSTMs (Time-Series/NLP), Scikit-learn, Pandas, NumPy. Model Deployment & Optimization: Model compression, quantization, edge computing, cost-per-prediction optimization. AI Governance & Security: AI-generated code carries roughly double the security risk violations of human-written code. I implement robust governance, testing, and security controls for AI systems. **⚛️ MODERN FRONTEND** React remains the most widely used UI library, with 67% of new enterprise React projects now built on Next.js—a 300% increase since 2023. React Server Components are now the default: Core: React 19, Next.js 16 (App Router, Server Components, Turbopack), Remix, Svelte 5 (runes), Astro. Styling: Tailwind CSS, shadcn/ui (1.87M weekly downloads), Framer Motion, Material-UI. State: Zustand (35% adoption, 35ms updates) vs Redux (38% adoption, 65ms), TanStack Query, Jotai. Build Tooling: Vite 8 with Rolldown (Rust-based, 10-30x faster builds), Turbopack. TypeScript: Used by 38% of professional developers, required in 72% of frontend job postings. **📱 MODERN MOBILE** React Native's New Architecture (stable since 2024) delivers significant performance improvements through synchronous native module calls: Frameworks: React Native (Expo), NativeScript, Flutter. Native: iOS (Swift/SwiftUI), Android (Kotlin & Jetpack Compose). Emerging: GPU-powered rendering for consumer and enterprise apps. **⚙️ MODERN BACKEND & API** Runtimes: Node.js (NestJS, Express), Bun, Deno, Python (FastAPI—57.9% developer usage, up 7% from 2024), Java (Spring Boot 4.0—modularized, Java 25 LTS support). Spring AI 1.0: Built-in support for integrating LLMs and AI services into enterprise Java applications. API Design: RESTful, GraphQL (Federation), gRPC, Webhooks, WebSockets. Event-Driven: Apache Kafka, RabbitMQ, AWS SNS/SQS. **☁️ DEVOPS & CLOUD (2026 Standard)** Cloud-native and Serverless adoption has surpassed 70% penetration in enterprise IT. Multi-cloud is now the standard—Gartner projects over 75% of cloud customers will adopt this model: Cloud: AWS, GCP, Azure (multi-cloud architecture). Containerization & Orchestration: Docker, Kubernetes (K8s), Helm. Serverless: AWS Fargate, Lambda, Cloudflare Workers—extending to data pipelines, real-time streaming, and event-driven microservices. IaC: Terraform, AWS CDK, Pulumi. CI/CD: GitHub Actions, GitLab CI, ArgoCD, Jenkins. **🗄️ DATABASES & SEARCH** Relational: PostgreSQL (PostGIS), MySQL, SQLite. NoSQL: MongoDB, DynamoDB, Firebase. Vector (AI): Pinecone, Chroma, Weaviate (for RAG and semantic search). Search: Elasticsearch, Algolia, Meilisearch. Caching: Redis, Memcached. **🔗 CRM, AUTOMATION & INTEGRATION** In 2026, the CRM market is consolidating around Salesforce, Microsoft, ServiceNow, and HubSpot as a durable challenger. Both platforms have invested heavily in agentic AI, predictive intelligence, and conversational AI: CRMs: Salesforce (Apex), HubSpot (Agentic Engagement Object), Zoho. Low-Code/No-Code: Gartner forecasts the low-code market at $44.5 billion in 2026, with 75% of new enterprise apps built on low-code platforms. Automation: VBA, Excel Macros, Google App Script, Bubble.io, n8n, Make, Zapier. Citizen Development: 80% of low-code users are now "citizen developers". **🚀 Why Partner With Me in 2026?** The software industry has crossed a clear threshold in 2026. Generative AI is no longer just helping developers write code faster—it is reshaping how software is planned, built, tested, and delivered. The role of the developer has evolved from coder to curator of intent, constraints, and outcomes. **I bring:** 10+ years of battle-tested engineering across the full spectrum. Agentic AI fluency—the ability to orchestrate AI agents across the entire SDLC. Systems thinking and architectural judgment—skills that AI cannot replace. Security-first mindset—AI amplifies what's already there; where code quality is managed, AI accelerates delivery; where it isn't, it accelerates technical debt and security exposure. Whether you need an AI-native application, a microservices overhaul, an agentic workflow orchestration, or an intelligent CRM integration—I deliver professional, scalable, and governable solutions. Let's architect intelligence together. **Contact me today.**
I am a **Multi-talented** professional adept in **Full Stack Web Development**, **Web Security Research**, and **Robotics Engineering**. As a dedicated Web Security Researcher and ethical hacker, I uncover vulnerabilities and mitigate security risks, bridging the gap between development and cybersecurity. Additionally, as a Robotics Engineer, I design and build sophisticated robotic systems, applying my deep understanding of mechanics, electronics, and programming. Passionate about crafting clean, scalable code and innovative robotics solutions, I contribute to projects that prioritize both robust development, cybersecurity practices, and cutting-edge robotic technology.
I have experience as both a front-end developer and a full-stack developer. I've also worked as a technical team lead. I've also done over a thousand hours of tutoring over the past 11 years, mostly for software development. I meet you where you are in your current skill level. When we work together, the learning is enjoyable and empowering.
Embark on a transformative coding journey with me, a visionary computer science expert and a passionate mentor, bringing over two decades of rich expertise in the dynamic realms of programming, data science, and software architecture. My technical skills span across a broad spectrum, including mastery in programming languages like Python, Java, C++, C, and Scala, along with a profound understanding of algorithms, data structures, and the complex art of software design. My research interests include big data analysis, semi-stream join algorithms, and real-time data warehousing. As a mentor, I've illuminated the path for students globally, from prestigious universities in the USA, Australia, Canada, and the UK, in a vast array of subjects from Big Data Analytics to Cyber Security, and advanced programming languages. Currently, I am a lecturer of Computer Science at a Higher Education Institute. My academic prowess is underscored by a **PhD** in Computer Science, with my doctoral thesis titled: "Integrated Real-Time Distributed Stream-Disk Processing Architecture for Unstructured Big Data". Join me on codementor, where together, we'll navigate the intricacies of technology, unleashing the potential to innovate, solve real-world problems, and excel in your programming career.
I am a senior full-stack & DevOps developer with a track record of maintaining distributed infrastructure, recent deep experience in large-scale data pipelines and a growing skillset and interest in applied AI/LLM integration. My recent work at an e-commerce search engine startup had me building and maintaining scrapers and a data pipeline that ingested over 10M product SKUs into an OpenSearch index, which was used for hybrid vector+lexical product search, enriched with LLM signals extracted as part of the pipeline. I've used reranking techniques like RRF to enhance relevance after retrieval, and RAG/grounding for features that answered personalized user queries with recommendations grounded in real customer reviews. My earlier work was heavily full-stack and always involved infrastructure where I often built and supported systems end-to-end, very often in context of a regulated market - with great examples like Deckard (PropTech/GovTech), Sick Children's Hospital/RareConnect (Healthcare-adjacent), and Ethoca \[now MasterCard\] (FinTech). I've also led IaC initiatives at Ethoca (Chef/Ansible, in 2016-17), and even implemented IaC from scratch for two startups - Pastel Labs (Terraform automation of AWS infrastructure for a B2B SaaS and a tutoring marketplace, in 2021), and Rilara (Pulumi for AWS infrastructure of their e-commerce product, in 2025-26). My startup experience is proven track record of working independently, but I also thrive as part of a team, with most recent example of being part of Deckard's distributed remote engineering team of 25+ people spread across the US and Australian timezones. Claude Code is part of my everyday workflow, and I am happy to consider myself a relatively-older senior developer who has successfully adapted to an AI-assisted/AI-first SDLC without compromising the quality of my work. I would be very excited to continue my journey with an opportunity in healthcare or finance, where I could apply my IaC skills while continuing to explore the world of LLM applications to improve user experience in these regulated environments. Should you have any questions about any of the background I mentioned here or on the attached resume, I would be glad to answer them in an interview at a time of your convenience. Thank you!
Welcome to CrewyShop, your trusted partner for top-tier DevOps engineering and cloud infrastructure solutions. With over 8 years of experience, we specialize in delivering secure, scalable, and efficient cloud environments on AWS, GCP, and Kubernetes. Our expert team is dedicated to helping businesses streamline their development and deployment processes, enhance operational efficiency, and ensure maximum security. At CrewyShop, we provide end-to-end services for your DevOps needs, from initial architecture design to CI/CD deployment and cloud infrastructure management. Whether you need help with automating workflows, securing cloud resources, or optimizing containerized applications, we have the expertise to bring your projects to life. What We Can Do for You: Cloud Architecture Design & Deployment: We design and implement highly secure and scalable cloud infrastructures on AWS, GCP, and Kubernetes, tailored to meet your specific needs and business goals. CI/CD Pipeline Implementation: Our team excels in creating robust CI/CD pipelines using tools like Jenkins, GitLab CI, and CircleCI, automating software delivery and improving deployment efficiency. Infrastructure-as-Code (IaC): Using Terraform, CloudFormation, and Ansible, we automate infrastructure setup and management, ensuring a consistent, reliable, and repeatable environment. Security Best Practices: We implement stringent security measures, including IAM policies, VPC design, encryption, and monitoring, to safeguard your cloud infrastructure and sensitive data. Kubernetes Management: We deploy and manage Kubernetes clusters for containerized applications, ensuring high availability, fault tolerance, and efficient resource usage. Why Choose CrewyShop? Over 8 years of expertise in DevOps and cloud technologies, delivering scalable solutions across AWS, GCP, and Kubernetes. Comprehensive DevOps services from design and development to deployment and management. Strong focus on security, automation, and performance optimization. Proven track record of successfully executing high-quality cloud projects within tight deadlines. A skilled and dedicated team that values communication, collaboration, and transparency. At CrewyShop, we understand the complexities of modern cloud infrastructure and DevOps practices. Whether you're looking to migrate to the cloud, optimize your existing setup, or implement new solutions, we are here to support you every step of the way. Regards, Crewyshop Team
Software Engineer with 15 years of experience taking full technical ownership of cloud-native SaaS products - from architecture decisions through production. Background spans Node.js backends, React frontends, AWS infrastructure and multi-client platform design at scale. Founder and founding engineer background means that autonomy, levelling up teams, and shipping fast are defaults, not exceptions. Known for turning fragmented or struggling systems into clean, scalable foundations that others can build on.
Software Engineer specializing in **cloud infrastructure**, **scalable data management**, and **iOS development**—led several cost-savings and security projects, built privacy-first apps with **1M+ users**, and mentored engineers to success Long time coding mentor - I've helped dozens of high-school and college kids for help with their coding assignments. We've all been there!
I’m a Software Engineering Manager and backend engineer with 13+ years of experience building scalable, reliable software systems and mentoring developers across different experience levels. My expertise spans: ASP.NET Core & C# Backend architecture System design Distributed systems Cloud infrastructure DevOps practices Software design patterns Scalable backend systems I also hold multiple AWS certifications, including: AWS Certified Solutions Architect AWS Certified SysOps Administrator AWS Certified DevOps Engineer Over the years, I’ve designed and deployed production infrastructure using: Terraform Docker AWS ECS Application Load Balancers (ALB) CloudFront + S3 static website hosting Docker Swarm on EC2 I’ve led engineering teams, conducted technical interviews, mentored developers, and helped engineers strengthen both their coding and architectural thinking. I enjoy breaking down complex engineering concepts into simple, practical explanations that developers can apply immediately in real-world systems.
Engineering Leader with 10 years of experience delivering scalable SaaS products and leading engineering teams. Proven ability to transform technical vision into business impact, having led teams across healthcare, finance, and enterprise software sectors. Passionate about building from scratch, optimizing delivery, and mentoring talent.
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