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Freelancer and a Full Stack Developer with 12+ years of professional experience in designing, developing, and maintaining amazing web applications and websites using React, JavaScript, Node.js, HTML and CSS. I love sharing my knowledge with developers to help them better at coding. My Portfolio: https://www.yogeshchavan.dev/ I'm the creator of the multiple popular courses: https://courses.yogeshchavan.dev/ I have also written a hugely popular Mastering Modern JavaScript book (https://modernjavascript.yogeshchavan.dev/) You can check out my technical articles below: 1. freeCodeCamp - https://www.freecodecamp.org/news/author/yogesh/ 2. Dev.to - https://dev.to/myogeshchavan97 3. Hashnode - https://blog.yogeshchavan.dev/ 4. Medium - https://medium.com/@yogeshchavan ☆ I mostly work on JavaScript, React and Node.js ☆ Loves sharing knowledge through technical articles ☆ Connect with me for any freelancing project ☆ To learn more about my work check out my linkedIn profile - https://www.linkedin.com/in/yogesh-chavan97/ or connect with me at myogeshchavan97@gmail.com ☆ Check out my GitHub Projects - https://github.com/myogeshchavan97
I define the architecture. For 21 years, I've been the person CTOs and lead developers call when systems fail under load, migrations are at risk or AI integration needs to work right the first time. With expertise in .NET, Python, Blazor, ASP.NET Core, SQL and agentic AI architecture (LLMs, reasoning engines, Semantic Kernel, LangGraph, tool-calling agents), I design systems where performance, reliability, and intelligent automation aren't optional—they're the baseline. I deliver AI in production, not prototypes. I’ve architected and deployed AI-powered systems across financial platforms, education and exam automation, and real estate market intelligence, including enterprise-grade solutions for organizations such as The New York Times, Project Management Institute (PMI), Walmart, Merit Wealth, Namfus and BlueberryCMS. --- **Here's where I'm most useful to you:** - **The AI Integration Trap** — You've been asked to add AI to your existing .NET system but don't know whether to use *Semantic Kernel*, raw OpenAI APIs, or a Python sidecar. I've made that decision dozens of times. I'll make it faster and safer for you. - **The Blazor Bottleneck** — Your Blazor app is slow, state management is tangled, and you're unsure if you chose *Server or WASM* incorrectly. I can diagnose what went wrong and map a clean path forward — often in a single session. - **The Legacy Modernization Cliff** — You have a 10-year-old .NET system that needs AI or modern tooling but wasn't designed for it. I specialize in *incremental refactoring paths* that don't require a full rewrite and don't break what's already working. --- **What I Do Best:** - **Software Architecture & System Design** — scalable, maintainable systems from greenfield to enterprise - **AI Agent Development** — production-grade agents with Semantic Kernel, LangGraph & AutoGen — *not demos* - **Blazor & ASP.NET Core** — Server, WASM, hybrid — full-cycle development and performance tuning - **Python & AI Automation** — RAG pipelines, workflow automation, voice AI, LLM integrations, chatbots - **Legacy .NET Modernization** — refactoring strategy, migration paths, incremental upgrades - **Architecture Audits** — identifying structural risk before it becomes a production incident, not after - **Debugging Complex Systems** — when the stack trace doesn't tell the whole story **If any of this sounds like your current situation — DM me. I respond to every message.**
I’m a Senior Software Engineer with 10+ years of experience building scalable full-stack, SaaS, and AI-powered applications. My core stack includes JavaScript/TypeScript, React, Node.js, Python, PostgreSQL, and AWS, with strong experience designing cloud-native and microservices-based systems. In recent years, I’ve focused heavily on AI-driven platforms and intelligent automation. I recently architected an enterprise AI copilot platform using Python (FastAPI), Node.js, LangChain, Weaviate, and multiple LLM providers. The platform supports conversational AI, RAG-based document retrieval, realtime streaming responses, and voice interaction using speech-to-text and text-to-speech services. I’ve also worked on AI-driven multimedia systems involving voice-enabled AI avatars, realtime conversational interfaces, media upload pipelines, and AI-assisted content workflows. My experience includes practical use of FFmpeg for media compression, streaming optimization, format conversion, and multimedia processing workflows, alongside integrations with OpenAI and ElevenLabs APIs for voice and conversational AI experiences. Previously, I developed AI assistants and automation tools including a LangChain-powered ecommerce support chatbot and a voice-enabled AI assistant using Flask, ChromaDB, and OpenAI. These systems combined LLM reasoning with contextual retrieval pipelines to deliver accurate, production-ready AI interactions. Beyond AI systems, I’ve built and scaled multiple production SaaS platforms across fintech, ecommerce, HR, e-voting, and enterprise operations. Notable projects include FlexiCoop (multi-tenant fintech SaaS), Fivage cloud storage platform, Scavenge ecommerce systems, and cross-platform offline-first POS applications built with Electron. On the infrastructure side, I regularly deploy and scale applications using AWS services including EC2, RDS, S3, CloudFront, Route53, IAM, and CI/CD pipelines through GitHub Actions and AWS Amplify. I also actively leverage AI-assisted development tools such as Cursor, GitHub Copilot, and ChatGPT to accelerate engineering workflows, refactor legacy systems, and rapidly prototype scalable features. Overall, I enjoy building AI-enabled products and scalable systems that bridge intelligent automation with real business workflows while delivering reliable, high-performance user experiences. Currently, I am actively building and scaling AI-powered SaaS systems, enterprise copilots, fintech platforms, and conversational AI workflows involving RAG pipelines, vector databases, voice interaction systems, and cloud-native infrastructure.
**Senior Frontend Engineer | JavaScript & React Specialist** I’m a senior software engineer with 10+ years of experience delivering reliable, scalable web applications. I turn complex requirements into clean, maintainable solutions that drive real impact quickly. Beyond coding, I’m passionate about improving team workflows, mentoring developers (including several years guiding students and professionals on Codementor), and ensuring projects move smoothly from idea to production. I’ve helped startups and established companies accelerate development cycles, improve product quality, and scale platforms serving thousands of users daily. Along with deep technical expertise, I bring the ability to collaborate, guide, and deliver measurable results. **Core skills:** React.js, Next.js, Node.js, TypeScript/JavaScript, databases (PostgreSQL, SQL, MongoDB), Tailwind, HTML/CSS, UX/UI, deployments on Vercel & AWS (ECS, RDS, S3). AI-assisted development with Claude (Claude Code), ChatGPT & Cursor (Claude added this... hi!)
NYC based developer with 16+ years of experience (independent freelancing, at Fortune 500s and at small startups). Languages include PHP, Javascript, Python, and Java. I have framework experience with Laravel, Symfony, CodeIgniter, and Vue. Always up for a challenge, whether it's new development or tracking down a bug. I enjoy overall architecture as much as getting into the finer details.
Hi, I'm Chris, a software engineer based in London working primarily with web technologies. As an experienced professional with a computer science background, I can help you learn or improve in many areas of software development and am happy to tailor sessions to your needs. In terms of topics we can dive really deep into, my professional toolset nowadays is primarily: - Python - Django - JavaScript - React - Next.js - PostgreSQL - Docker - AWS (qualified Solutions Architect) - Azure I also conduct technical interviews and would be happy to work through some interview-style questions if that's something you need to prepare for. I have around 10 years of professional experience but my interest in programming goes back 17 years when I first started learning Lua scripting as a hobby with a mentor of my own. I strongly believe that anyone can learn to code if they set their mind to it with access to the right support for the questions we all have when learning something new. In the past, I've also done some open-source work and notably managed to contribute a bug fix to CPython in one of the language codec modules. This is something I'd love to do more of or guide others in doing. If you're looking for a patient mentor with a wide range of experience who can break things down into plain English terms, don't hesitate to get in touch! ---- **Links:** - LinkedIn: https://www.linkedin.com/in/libcthorne/ - GitHub: https://github.com/libcthorne/
I'm a highly driven designer, programmer and tech-entrepreneur. I specialize in programming, designing, thinking and validating risky assumptions in design, thinking just like users and delivering great products and, managing technical debt with business needs, enhancing the projects reach.
1/ Listed by TradingView as an official trusted pinescript developer and trader. Username: Daveatt on TradingView 2/ AI automation specialist Will develop your AI automation outreach, AI Customer Support Ticket Management, AI Appointment Setting
Hello! I’m a front-end engineer with 8 years of experience working with multiple tech startups and teaching at two coding boot camps. I’m passionate about sharing my knowledge and helping you achieve your goals! Technologies I’m Endorsed For: 🌟 React 🌟 TypeScript 🌟 HTML & CSS 🌟 Jest How I Can Help: 🤔 Debugging your code and resolving tricky issues 🤔 Integrating APIs into React applications and displaying data seamlessly 🤔 Preparing for job interviews and landing your first (or next!) developer role Proven Results for My Students: ✅ Overcome Debugging Roadblocks: Students I’ve worked with gain the confidence to tackle challenging bugs, learning structured approaches to problem-solving that save hours of frustration. ✅ Develop Real-World Projects: I guide students to build polished, portfolio-worthy projects, helping them showcase their skills effectively. ✅ Understand React Like a Pro: Students frequently report breakthroughs in understanding React concepts like hooks, context, and state management after just one session. ✅ Write Clean, Maintainable Code: By emphasizing reusable components and testing, I help students produce code that’s not only functional but also maintainable and professional-grade.
Systems architect and infrastructure engineer with 23 years of total production experience and over a decade of high-velocity remote delivery for premium US, Canadian, and European tech platforms. Specializes in production-grade Rust, petabyte-scale data pipelines, and low-level Linux/Debian systems optimization. A pioneer in agentic engineering, operating with an architecture-over-syntax mindset since mid-2025. Utilizes a custom-built, spec-oriented AI orchestration harness with institutionalized review gates (rather than "vibe-coding") to drive multiple complex, parallel infrastructure workstreams simultaneously. Proven capability to manage raw physical constraints, high-throughput distributed state, and resilient event-driven data planes at scale. **CORE CAPABILITIES & AGENTIC STACK** * **Agentic Orchestration:** Spec-First Prompt Decomposition, Multi-Workstream Management, Railed Planning Structures, Cursor (Daily), Custom Spec-Driven AI Harnesses. * **Systems Programming & Languages:** Production Rust (Tokio, Async, Caching, Systems Testing), Go (Multithreaded tooling), Python, Advanced Bash, Pharo Smalltalk. * **Infrastructure & Operating Systems:** 23-Year Linux Bedrock (Debian, Ubuntu, CentOS), Bare-Metal Hardware Configuration, Process-Level Debugging, Kernel Log Diagnostics, Docker Infra, Multi-Cloud (AWS, GCloud). * **Data Architecture & Streaming:** Petabyte-scale Data Storage, High-Availability PostgreSQL (OLTP Architecture, Complex Replication), Vectorized/OLAP Core Tradeoffs, Kafka-Backed Idempotent Stream Pipelines.
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