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I’m a Senior Software Engineer with 15+ years of experience building production web and mobile applications. My primary focus is frontend development, where I build scalable applications using clean architecture, reactive patterns, and strong performance optimization practices. I have extensive experience working with modern frameworks, especially Angular, and I apply consistent engineering standards to ensure maintainability and long-term scalability. In addition to web applications, I also develop cross-platform mobile apps using Ionic and Flutter. I integrate native mobile features such as biometric authentication and build device integrations including Garmin wearable devices. I am currently deepening my expertise in Flutter, actively building applications and expanding my mobile development capabilities while applying the same engineering principles used in production systems. My background also includes backend development using Go and PHP, working with microservices, REST APIs, and message queues. This allows me to understand the full system architecture and integrate frontend applications smoothly with backend services. For the past 3 years I have actively leveraged AI tools in my daily development workflow, which significantly improves development speed, debugging efficiency, and code quality. I use AI to accelerate coding, refactoring, troubleshooting, and building internal tooling while maintaining clean and maintainable production code.

🤖 𝗦𝗲𝗻𝗶𝗼𝗿 𝗔𝗜 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿: 𝗔𝗜-𝗡𝗮𝘁𝗶𝘃𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 (𝗥𝗔𝗚 - 𝗠𝗖𝗣) AI Agents • RAG Systems • MCP Servers • LangChain • LlamaIndex • Vector Databases • Agentic Workflows • LLM Integration • Full Stack Development • SaaS Architecture • Ruby on Rails • React • Next.js • Node.js • FastAPI • PostgreSQL • pgvector • Pinecone • AWS • Docker • Stripe • API Development • Automation 🤖 Senior Full-Stack Engineer: AI-Native Development & Agentic Systems Most of my recent work sits at the intersection of LLMs and product engineering building things that actually use AI, not just wrap a chatbot around a button. I've shipped RAG pipelines with pgvector and Pinecone, built agentic workflows where LLMs chain tools and make decisions autonomously, and integrated MCP servers for structured model-to-tool communication. On the voice side, I've worked with Vapi and Twilio to build AI voice agents for real support workflows. Outside of AI, I have 9+ years building SaaS products end-to-end multi-tenant architecture, Stripe billing, async data pipelines, REST/GraphQL APIs. My main stack is Ruby on Rails, React/Next.js, Node.js, and Python (FastAPI/Django). 💡 What I Actually Build 🧠 AI & Agentic Systems RAG pipelines (LangChain, LlamaIndex, pgvector, Pinecone), AI voice agents (Vapi, Twilio), MCP server integrations, tool-use / function-calling workflows, OpenAI & Anthropic API integrations, prompt engineering, structured LLM outputs ⚙️ Backend Ruby on Rails, Node.js / NestJS, FastAPI, Django, GraphQL, REST APIs, microservices, background jobs, webhooks, Stripe Connect 🌐 Frontend React, Next.js, Vue, Nuxt, Tailwind CSS, TypeScript, PWAs 🗄️ Data & Infrastructure PostgreSQL, Redis, MongoDB, pgvector, Pinecone, AWS, GCP, Docker, Serverless 🏗️ A few things I've shipped Built an AI voice and support automation platform using Vapi, Twilio, and custom RAG handles real inbound queries without a human in the loop. Delivered a multi-tenant legaltech SaaS with Stripe Connect, webhook infrastructure, and role-based access at scale. Built async crypto analytics pipelines processing real-time market data with a multi-tenant REST API layer. 🎯 How I work I don't just implement features. I think about the architecture first. Whether it's deciding where to put a vector store, how to structure an agentic loop, or how to make a Rails monolith scale without a full rewrite, I try to find the practical path that doesn't create problems six months later. If you're building something with LLMs, agents, or complex SaaS infrastructure, happy to talk through what you're working on.

I have 8+ years of experience in ExpressionEngine, Craft CMS, Wordpress, Shopify. PHP, HTML 5, IOS, Android, NodeJs, React Native, Xamarin, Flutter, Responsive web design, etc. I have developed e-commerce, content management websites, Native and Hybrid Mobile Apps, etc. My core competency lies in the complete end-to-end management of web site design & development. I can work full-time or part-time. Most of the duties and responsibilities I've experienced are listed below: 1. Version upgrades and Server Migration. 2. Native, Hybrid and React Native mobile apps 3. Craft CMS (front-end and back-end development) 4. Expressionengine website (simple, ecommerce - cartthrob and expresso store)- design and development 5. Custom addon development - EE, Craft CMS, Magento (1 and 2) and Wordpress 6. Website design and development - PHP CMS and Frameworks 7. Custom Theme design & development. You can expect me to be reliable and trustworthy, as I can manage to work with less supervision. **Voice of clients:** “ I have only worked with Dipal from W3Care and she was communicative on a daily basis. Their knowledge of Expression Engine development is top notch and they seemed to understand and adjust their workflow as needed fairly easily. Very easy developers to work with and completed the project in a fair amount of time.” ****Sean Strycker, Sunnyvale, USA**** “W3Care has been a steady partner in managing our online activities in the background for years!” ****Sramana Mitra,CEO of 1Mby1M****

Senior Fullstack Software Engineer | Java, Node.js, React | CMS & IoT Expert 🚀 About Me I am a Senior Fullstack Software Engineer with 4+ years of experience in developing high-performance web applications, CMS platforms, and IoT solutions. My expertise spans across Java Spring Boot, Node.js, React, Magnolia CMS, and cloud-based architectures. I have led teams, optimized complex systems, and built scalable solutions for enterprise-level clients. 🔹 Backend: Java Spring Boot, Node.js, NestJS, Microservices, GRPC 🔹 Frontend: React.js, React Native, Headless CMS 🔹 CMS: Magnolia CMS, Liferay, WordPress 🔹 Databases: MySQL, MongoDB, SQL Server 🔹 DevOps & Cloud: Docker, Kubernetes, GitLab CI/CD, AWS 🔹 IoT & AI: Zigbee, MQTT, OpenCV, AI-based detection systems 💼 Notable Projects ✅ MMP’s CMS Website: Built a Java Spring Boot-based CMS optimized for high traffic and large datasets. ✅ Dentsu’s Headless CMS: Developed a scalable API-driven CMS using Magnolia CMS and React. ✅ Yoolife & YooIOC Applications: Smart city applications for residential and operational management. ✅ IoT Platform for Smart Devices: Developed a gateway integrating Zigbee, Z-Wave, and BLE devices with AI-powered event detection. 🔍 Why Work With Me? ✔ Proven expertise in enterprise CMS solutions & IoT systems ✔ Strong problem-solving skills in system architecture & optimization ✔ Experience leading development teams & mentoring junior engineers ✔ Passionate about building scalable, high-performance applications Let’s connect and bring your ideas to life! 🚀

I build agentic AI systems that run in production - not prototypes. A couple of years ago my work was mostly Elasticsearch and data infrastructure. It's shifted a lot since then. These days I'm building full AI pipelines: multi-agent workflows with LangGraph and CrewAI, RAG systems on Pinecone and Qdrant, voice AI agents that actually make phone calls (Vapi and ElevenLabs), and security automation that goes from alert ingestion to response without waiting for a human. Some of the more interesting things I've shipped: - An automated SOC workflow that triages SIEM/XDR alerts through L1/L2 AI agents and runs response playbooks - no analyst needed for first-response decisions - A full sales pipeline where AI handles outreach, runs live qualification calls, matches buyers to sellers, and closes deals with e-signatures. Humans only touch exception cases - An employee compliance agent that monitors Slack, has actual conversations with flagged employees, and escalates to an L2 agent trained on company policy via RAG - not just a flag-and-alert system - An AI-driven personalized search engine where results rank differently per user based on real behavioral signals, not a shared relevance score My infrastructure background is deep in Elasticsearch and OpenSearch - cluster design, multi-tenant architectures, ingestion pipelines, and performance work. I once took a 50M-document production cluster from visibly slow to sub-second and called it an 8x improvement. I've also built a full multi-tenant CSOC SaaS on AWS OpenSearch with Wazuh handling the security telemetry. Stack I work with day-to-day: Python (FastAPI, Flask), LangChain, LangGraph, CrewAI, n8n, Make, Supabase, Pinecone, Qdrant, Kafka, Docker, Kubernetes, AWS. LLMs: GPT-4o, Claude, Groq, Llama locally. Voice: Vapi, ElevenLabs, Twilio, Voiceflow. I stay until the thing works. Message me if you have a project that needs a real system.

Software developer with a strong foundation in data structures and algorithms, specializing in high‐performance systems, optimization, and purpose‐built engineering solutions. Programming Languages • C, C++, Go • Python, Lua, Bash Libraries • Pandas, NumPy, ezdxf Client‐side • HTML, CSS, JS, TS • HTMX • React, Next.js • Hugo, Astro Server‐side • Node.js, Deno • Django, FastAPI Databases • PostgreSQL • MySQL, MariaDB • SQLite • MongoDB • Redis, DynamoDB Infrastructure • Linux • Docker, Podman • Cloudflare Tools • Git (GitHub, GitLab) • Neovim Documentation • Markdown • reStructuredText • LaTeX • Typst Productivity • Microsoft Office • Microsoft Power BI Computer‐Aided Design • AutoCAD • SOLIDWORKS • Siemens NX