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My specific expertise is web design and development in the Ruby-on-Rails and WordPress frameworks. I have experience in AI-based vibe coding, AI integration and AI product troubleshooting/completion. I provide the entire website life-cycle: web design, development and web site maintenance. I develop sites for all levels - startup to full enterprise site. One of the highest-rated developers on UpWork - with a "Top-Rated" badge and a 100% job success rating. I focus on efficiency and quality. I do not provide you with a 'less than credible' price estimate then leave you with a broken or unfinished product. I stand ready to help large and small entrepreneurs successfully build their website or web app while respecting their unique budget constraints.

I build AI systems that run in production. Not demos, not prototypes that fall apart under real load Most of my work falls into three areas: - Voice agents and conversational systems: I recently built an inbound communications platform for a US law firm on AWS Bedrock, Amazon Connect, and Nova Sonic. The system handles client intake calls, captures the details, and routes qualified leads into their case management workflow. Multi-tenant, with proper logging and human fallback. I also work with Vapi, Retell and ElevenLabs when those are a better fit for the budget or timeline - RAG and document AI: Knowledge assistants over a client's own documents and data, with citations and guardrails so the answers can be trusted. I pick the retrieval setup based on the use case rather than defaulting to whatever framework is trending. Used in production for legal intake, customer support and internal knowledge bases - AI in business workflows: Connecting LLMs to the systems a business already runs on. I've done this for e-commerce operations on Amazon Vendor Central and SP-API, for inbound communications platforms and for ops teams drowning in spreadsheets. The work usually involves Airtable, BigQuery, AWS Lambda, Stripe and similar tools, with an LLM in the middle doing classification, extraction, summarization or decisioning Stack I actually use: - AWS Bedrock, Amazon Connect, Nova Sonic, Lambda, EC2, SES, S3 - Anthropic Claude, OpenAI GPT models - Node.js, Python (FastAPI), Next.js - Supabase, PostgreSQL, Airtable, BigQuery - Vapi, Retell AI, ElevenLabs, Twilio - Amazon SP-API, Stripe How I work: - Fixed scope, fixed price, weekly demos. I'd rather tell you upfront if a project is the wrong fit than take it on and miss the mark. I run a small services team (Eveonix), so I can scale up with engineers when a project needs it or handle it solo when that's faster Most of my clients have been on Upwork for years and have worked with several developers before me. The reviews on this profile reflect that. If you have a specific use case, send me the details and I'll tell you honestly whether I can help and what it would cost

I help startups and product teams build, fix, and scale mobile apps (iOS, Android, and Flutter), including apps with AI-powered features—ensuring stability, performance, and long-term reliability. With 7+ years of experience and 50+ apps delivered, I’ve worked on production apps used by real users where performance, stability, and user experience directly impact business outcomes. Clients usually come to me when: • Their app is crashing, slow, or unstable in production • Payment flows or API integrations are failing • New features are breaking existing functionality • They need to scale an app without compromising performance • AI features (chat, automation, recommendations) need to be integrated or fixed • Legacy code needs safe refactoring and long-term maintainability What I deliver: • Stable, high-performance mobile apps ready for real users • Clean, scalable architecture for long-term growth • Reliable API and payment integrations • Smooth App Store & Play Store submission and updates • AI-powered features integrated into mobile apps (chat, automation, smart workflows) My expertise includes: • Native iOS (Swift, Objective-C) & Android (Kotlin, Java) • Cross-platform apps using Flutter & React Native • AI integrations and backend-driven intelligent features • Debugging crashes, ANRs, memory leaks, and performance issues • Refactoring legacy code and improving app architecture • Backend integration using Python (Django, Flask, FastAPI) How I work: • I solve root problems, not temporary fixes • I prioritize stability before adding new features • I write clean, maintainable, and scalable code • I leverage modern AI tools to speed up development and debugging without compromising quality • I communicate clearly and ensure timely delivery CTA: If you're building a new app or facing crashes, performance issues, or scaling challenges, send me a message with your app details. I’ll review your requirements and suggest the best way to move forward quickly and safely.

𝟳+ 𝘆𝗲𝗮𝗿𝘀 of expertise in 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗧𝘆𝗽𝗲𝘀𝗰𝗿𝗶𝗽𝘁 & 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, I specialize in building 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝘃𝗲, 𝘀𝗲𝗰𝘂𝗿𝗲, 𝗮𝗻𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱 𝘄𝗲𝗯 𝗮𝗽𝗽𝘀 using the 𝗠𝗘𝗥𝗡 (𝗠𝗼𝗻𝗴𝗼𝗗𝗕, 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗝𝗦, 𝗥𝗲𝗮𝗰𝘁, 𝗡𝗼𝗱𝗲.𝗷𝘀) and 𝗠𝗘𝗩𝗡 (𝗠𝗼𝗻𝗴𝗼𝗗𝗕, 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗝𝗦, 𝗩𝘂𝗲.𝗷𝘀, 𝗡𝗼𝗱𝗲.𝗷𝘀) stacks. ---------------------------------------------- 🛠️ 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 : ✅ 𝗙𝗿𝗼𝗻𝘁-𝗘𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 : React, Next.js, Vue.js , Nuxt , Tailwind CSS, TypeScript, Redux, Pinia , HTML5 ✅ 𝗕𝗮𝗰𝗸-𝗘𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 : Node.js, ExpressJS, NestJS, REST APIs, GraphQL, WebSockets ✅ 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 : MongoDB, MySQL, PostgreSQL, DynamoDB, Supabase, Firestore, Firebase Realtime Database ✅ 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀 : AWS, DigitalOcean, GCP, Docker, CI/CD, Nginx ✅ 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: Git ✅ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 : Jira , Monday , Clickup , Trello 🔧 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 : ✅ 𝗔𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰𝗮𝘁𝗶𝗼𝗻 → JWT, OAuth, Auth0 ✅ 𝗣𝗮𝘆𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 → Stripe, PayPal ✅ 𝗠𝗮𝗽𝘀 & 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 → Google Maps API, OpenStreetMap, Mapbox ✅ 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 & 𝗠𝗲𝘀𝘀𝗮𝗴𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 → Twilio, Pusher, WebSocket, Socket.IO, Firebase Realtime, MQTT ✅ 𝐀𝐏𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: Canva, Twilio, OpenAI APIs, REST APIs & more ✅ 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 → Sentry, Google Analytics , Crashlytics ✅ 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 & 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 → Swagger , PostMan ✅ 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 → OpenAI , Whisper , Claude , GenKit , Google Gemini , LLMs , TensorFlow , DialogFlow , Hugging Face , MLKit ✅ 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘀𝗮𝘁𝗶𝗼𝗻 → D3.js, Chart.js, Recharts, ECharts, Highcharts, ApexCharts I’ve successfully delivered 𝟰𝟬+ 𝗳𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝘄𝗲𝗯 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 , combining sleek 𝗙𝗿𝗼𝗻𝘁-𝗘𝗻𝗱 𝗨𝗜𝘀 with powerful 𝗕𝗮𝗰𝗸-𝗘𝗻𝗱 𝗔𝗣𝗜𝘀 and scalable 𝗰𝗹𝗼𝘂𝗱-𝗯𝗮𝘀𝗲𝗱 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀. My focus is always on 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲, 𝘀𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗺𝗮𝗶𝗻𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆, ensuring long-term success for my clients. ---------------------------------------------- 𝐖𝐡𝐞𝐧 𝐲𝐨𝐮 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞, 𝐲𝐨𝐮 𝐠𝐞𝐭: ✅ A dedicated partner who shares your passion and vision ✅ Seamless, 24/7 communication for complete transparency ✅ Expert guidance and consultation absolutely free ✅ Most importantly, a product that exceeds your expectations and delivers results 🚀 𝐆𝐨𝐭 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬? 𝐅𝐞𝐞𝐥 𝐟𝐫𝐞𝐞 𝐭𝐨 𝐝𝐫𝐨𝐩 𝐦𝐞 𝐚 𝐦𝐞𝐬𝐬𝐚𝐠𝐞 𝐨𝐧 𝐦𝐲 𝐩𝐫𝐨𝐟𝐢𝐥𝐞 𝐟𝐨𝐫 𝐚 𝐠𝐫𝐞𝐚𝐭 𝐜𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧, 𝐨𝐫 𝐥𝐞𝐭'𝐬 𝐣𝐮𝐦𝐩 𝐨𝐧 𝐚 𝐪𝐮𝐢𝐜𝐤 𝐜𝐚𝐥𝐥 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐢𝐧 𝐝𝐞𝐭𝐚𝐢𝐥 ---------------------------------------------- 𝗠𝘆 𝗧𝗮𝗴𝘀 : 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 | 𝗪𝗲𝗯 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 | 𝗪𝗲𝗯 𝗔𝗽𝗽 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 𝗔𝗽𝗽 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 𝗥𝗲𝗮𝗰𝘁 | 𝗩𝘂𝗲.𝗷𝘀 | 𝗡𝗲𝘅𝘁.𝗷𝘀 | 𝗡𝘂𝘅𝘁 | 𝗡𝗼𝗱𝗲.𝗷𝘀 | 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗝𝗦 | 𝗡𝗲𝘀𝘁𝗝𝗦 | 𝗔𝗪𝗦 | 𝗔𝗺𝗮𝘇𝗼𝗻 𝗪𝗲𝗯 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 | 𝗚𝗖𝗣 | 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 | 𝗜𝗢𝗧 | 𝗧𝘂𝘆𝗮 | 𝗙𝗶𝗿𝗲𝗯𝗮𝘀𝗲 | 𝗔𝘇𝘂𝗿𝗲 | 𝗝𝗮𝘃𝗮𝘀𝗰𝗿𝗶𝗽𝘁 | 𝗧𝘆𝗽𝗲𝗦𝗰𝗿𝗶𝗽𝘁 | 𝗔𝗜 | 𝗧𝘄𝗶𝗹𝗶𝗼 𝗔𝗣𝗜 | 𝗧𝗮𝗶𝗹𝘄𝗶𝗻𝗱 𝗖𝗦𝗦 | 𝗛𝗧𝗠𝗟𝟱 | 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁 | 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟 | 𝗠𝘆𝗦𝗤𝗟 | 𝗠𝗼𝗻𝗴𝗼𝗗𝗕 | 𝗦𝘂𝗽𝗮𝗯𝗮𝘀𝗲 | 𝗙𝗶𝗿𝗲𝘀𝘁𝗼𝗿𝗲 | 𝗥𝗘𝗦𝗧𝗳𝘂𝗹 𝗔𝗣𝗜 | 𝗥𝗲𝘀𝘁 𝗔𝗣𝗜 | 𝗔𝗪𝗦 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 | 𝗔𝗜 𝗔𝗽𝗽 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 | 𝗦𝗤𝗟 | 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 | 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 | 𝗖𝗦𝗦 | 𝗖𝗦𝗦 𝟯 | 𝗛𝗧𝗧𝗣 | 𝗛𝗧𝗠𝗟 | 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝘃𝗲 𝗗𝗲𝘀𝗶𝗴𝗻 | 𝗙𝗶𝗿𝗲𝗯𝗮𝘀𝗲 𝗖𝗹𝗼𝘂𝗱 𝗙𝗶𝗿𝗲𝘀𝘁𝗼𝗿𝗲 | 𝗦𝗮𝗮𝘀 | 𝗣𝗮𝘆𝗺𝗲𝗻𝘁 𝗚𝗮𝘁𝗲𝘄𝗮𝘆 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 | 𝗣𝗮𝘆𝗺𝗲𝗻𝘁 𝗚𝗮𝘁𝗲𝘄𝗮𝘆 | 𝗗𝟯.𝗷𝘀 | 𝗕𝗮𝗰𝗸-𝗘𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 | 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 | 𝗷𝗤𝘂𝗲𝗿𝘆 | 𝗦𝘁𝗿𝗶𝗽𝗲 𝗔𝗣𝗜 | 𝗗𝗼𝗰𝗸𝗲𝗿 | 𝗙𝗿𝗼𝗻𝘁-𝗘𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 | 𝗩𝗲𝗿𝗰𝗲𝗹 | 𝗦𝗤𝗟𝗶𝘁𝗲 | 𝗙𝗶𝗴𝗺𝗮 | 𝗕𝗼𝗼𝘁𝗦𝘁𝗿𝗮𝗽 | 𝗖𝗠𝗦 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 | 𝗪𝗲𝗯 𝗗𝗲𝘀𝗶𝗴𝗻 | 𝗨𝗫 & 𝗨𝗜 𝗗𝗲𝘀𝗶𝗴𝗻 | 𝗢𝗽𝗲𝗻𝗔𝗜 𝗔𝗣𝗜 | 𝗠𝗼𝗻𝗴𝗼𝗼𝘀𝗲 | 𝗝𝗦𝗢𝗡 𝗔𝗣𝗜 | 𝗔𝗣𝗜 | 𝗦𝗖𝗦𝗦 | 𝗣𝗿𝗼𝗴𝗿𝗲𝘀𝘀𝗶𝘃𝗲 𝗪𝗲𝗯 𝗔𝗽𝗽 | 𝗔𝗪𝗦 𝗟𝗮𝗺𝗯𝗱𝗮 | 𝗦𝗲𝗻𝗱𝗴𝗿𝗶𝗱 | 𝗦𝘁𝗿𝗶𝗽𝗲 | 𝗔𝗪𝗦 𝗔𝗺𝗽𝗹𝗶𝗳𝘆

IoT Consulting, IoT solution development, IoT Prototype development, IoT Minimum Viable Product ( MVP ) development since 2014. 100+ IoT projects completed Served clients from over 20 countries Over 30000 hours in IoT projects With over a decade of experience and a proven track record of delivering 100+ successful IoT projects, we're your partners in innovation. Our team of IoT enthusiasts, embedded engineers, and web/mobile app developers has successfully transformed complex ideas into tangible IoT solutions across diverse industries. We have helped clients optimize operations, reduce costs, and drive growth in a variety of industries. Sensorvision IoT Platform: Our customizable platform excels in device management and data visualization, providing actionable insights. We specialize in IoT Development with the following technologies - ESP32, LoRa, LoRaWAN, BLE, Particle, Mobile app development with React Native IoT use cases - IoT enabled product development, Energy monitoring and management, High value asset monitoring and tracking, Industrial condition monitoring, Smart farming, Hydroponics, Irrigation control, IoT building automation, Smart garments, Rule-based alert systems The IoT applications we have developed used: Hardware platforms used – Particle (Electron, Argon, Boron, Xenon) ESP(ESP8266, ESP32) STM 32 nRF 52 Arduino Raspberry Pi, ATmega and ARM Pycom Controllers Communication networks - Wi-Fi and Cellular (GSM/GPRS) Bluetooth and BLE LoRa, LoRaWAN and LPWAN Zigbee and Zigbee Mesh BACnet and Modbus Sigfox, NRF and MRF transceivers and Ethernet connections. Cloud services - Integration established using HTTP and MQTT protocols AWS cloud - EC2, S3, SNS, AWS IoT, AWS Greengrass, AWS Lambda, Cognito and RDS & Dynamo DB. Azure IoT Particle Device Cloud Google Cloud ThingsBoard IBM Bluemix Clients’ custom cloud platforms Web and Mobile App Development - LAMP, MEAN & MERN stacks Core Technologies – HTML, CSS and JavaScript JavaScript – Node.js, Angular.js, React.js, Vue.js, React Native .NET, Python and Node-RED Ionic and Native App Development Actuators - Solenoid Valves, Relays and LEDs. Hardware communication protocols - UART, SPI, I2C, USART, RS232, RS485, 1-Wire. Sensors Used – GPS based tracking solutions with additional sensor integration IMU sensors (Accelerometer, Gyrometer, Magnetometer) Environmental sensors (Thermocouple, Dht22, Lm35, DS18B20, BMP280, Rain sensors, Leaf wetness sensor, Soil moisture sensor, Water level, Water flow, Ambient light, LDR) Proximity sensors (Ultrasonic, IR, PIR) Detection sensors (Contact, Level, Hall effect sensor, Reed switch, Limit switches) Air quality sensors (OMRON, Sensiron, Co2 Sensors, Dust sensor, VOC, MQ135, CCS811) Vibration sensors, Vibration sensor switch, Tilt sensors Motion sensors (ADXL345, GY521)

Hi, I’m Raghav Daga, a DevOps and AWS Cloud Engineer helping startups and SaaS teams deploy secure, scalable, and automated production systems on AWS. I specialize in container-based deployments using ECS Fargate and Docker, end-to-end CI/CD automation with GitHub Actions, and real-world backend deployments using FastAPI and Node.js. Recent work: deployed a production EV Charger Management System on AWS — real-time IoT communication via MQTT, FastAPI microservices on ECS Fargate, automated billing, CloudWatch monitoring, and a full CI/CD pipeline. ─────────────────────────── 🛠 SERVICES I OFFER ─────────────────────────── • Design and deploy AWS infrastructure (VPC, EC2, ECS Fargate, ALB, RDS) for new and existing applications. • Containerize applications with Docker and set up CI/CD pipelines using GitHub Actions for automated, zero-downtime deployments. • Deploy and manage FastAPI / Node.js backends on AWS with structured logging, CloudWatch monitoring, and alerting. • Set up secure cloud networking — VPC architecture, IAM roles and policies, Security Groups, and Secrets Manager. • Optimize infrastructure for cost and performance — right-sizing, Auto Scaling, CloudWatch dashboards. • Migrate applications from basic servers to containerized, production-ready AWS environments. • Integrate real-time systems, async workers, and API gateways into scalable cloud-native architectures. ─────────────────────────── ⚙️ TECH STACK ─────────────────────────── • AWS: EC2, ECS Fargate, EKS, ECR, S3, Lambda, CloudWatch, IAM, VPC, Route 53, ALB, CloudFront • DevOps: Docker, GitHub Actions, Terraform, Kubernetes, Linux Administration, Nginx • Backend: Python / FastAPI, Node.js / Express, PostgreSQL, MongoDB, Redis, REST APIs ─────────────────────────── ✅ WHY CLIENTS WORK WITH ME ─────────────────────────── • Production-focused: I build systems with security, uptime, and maintainability in mind — not just "it works on my machine." • End-to-end ownership: From infrastructure design to deployment, monitoring, and documentation, I manage the full workflow. • Startup-friendly: Comfortable with MVPs, fast iterations, and infrastructure that scales as you grow. • Strong fundamentals: Deep hands-on experience across AWS, containers, CI/CD, and backend systems — not surface-level. ─────────────────────────── 📩 LET'S WORK TOGETHER ─────────────────────────── If you need help deploying or scaling your application on AWS using modern DevOps practices, send me a brief message about your app, tech stack, and current challenges — and I'll suggest a clear plan. Keywords: AWS DevOps Engineer, ECS Fargate, Docker, GitHub Actions CI/CD, Terraform, Cloud Infrastructure, FastAPI Deployment, Node.js Deployment, React.js, CloudWatch Monitoring, VPC Networking, Kubernetes, IoT Systems.