Are you looking to build intelligent, scalable, and production-ready applications? You're in the right place. I'm Kaushik, a Senior Full Stack Developer & AI/ML Engineer with 7+ years of experience turning complex business problems into clean, high-performance solutions. What I bring to your project: 🤖 AI & LLM Development Building smart applications using OpenAI APIs, LangChain, LangGraph, RAG pipelines, and multi-agent systems — not just demos, but production-grade AI. ⚙️ Backend Engineering Robust REST & gRPC APIs, microservices, and event-driven systems using Python (Django, FastAPI, Flask), Kafka, and Celery. ☁️ Cloud & DevOps End-to-end deployment on AWS and GCP with Docker, CI/CD pipelines, and production monitoring. 🗄️ Data & Databases PostgreSQL, MongoDB, Redis, ClickHouse, BigQuery, Elasticsearch — I pick the right tool for the job. Recent highlights: ✅ Built an AI-powered travel platform with personalized itinerary generation using LangGraph & RAG ✅ Engineered high-throughput data pipelines for Nokia using Apache Beam & Kafka ✅ Integrated Azure AI & OpenAI into a Vendor Management System serving enterprise clients I work best with clients who: Need more than just a coder — they need a technical partner Want clean, maintainable code with proper documentation Value clear communication and on-time delivery

$400M+ in transactions processed across platforms we built. 100,000+ tickets sold on a product shipped from zero. 20+ countries reached by an EdTech app delivered end-to-end. I'm not listing what's possible — I'm listing what's already running in production. I'm a full stack developer and software architect based in Israel, and the CEO of a 40+ engineer development agency. When you work with me, you get a senior technical partner who understands the code and the product — and a full team behind delivery when scope requires it. 🔹 Full Stack & SaaS Development Scalable multi-tenant architectures, B2B dashboards, internal tools, and AI-integrated SaaS. Core stack: React, Next.js, Vue.js, TypeScript, JavaScript, Python, Node.js, Laravel — full stack web developer depth from database schema to UI. 🔹 Fintech & Banking This is where I'm different from most full stack developers on this platform. We've built card issuing systems, treasury management platforms, AML/KYC pipelines, cross-border payment rails, and crypto-to-fiat flows. Live integrations: BlackRock, DocuSign, Salesforce, Rail API, Kraken, SEPA Instant. Production experience, not theoretical. 🔹 Mobile App Development Native iOS (Swift) and Android (Kotlin) for security-critical applications. React Native for cross-platform. My mobile portfolio includes a hardware-encrypted messenger with a built-in crypto wallet, a DeFi app, and a React Native aviation booking system — real-world apps built for real stakes. 🔹 Web3 & Blockchain EVM smart contract UIs, DeFi protocols, hardware-encrypted crypto wallets, seed-to-sale blockchain tracking, multi-chain no-code contract execution, tokenization platforms. 🔹 AI Integration LLM integrations, OpenAI API, RAG pipelines, multi-agent workflow automation, Fathom AI analytics, ClickHouse data infrastructure. I build AI as a functional product layer, not a feature checkbox. When you hire me as your full stack developer, you're not getting a solo freelancer bottleneck. You're getting a senior technical lead with backend, frontend, mobile, and DevOps teams — all behind one point of contact, one contract. Tech: Python · Django · FastAPI · React · Next.js · Vue.js · TypeScript · JavaScript · Node.js · Swift · Kotlin · React Native · PostgreSQL · MySQL · Redis · ClickHouse · AWS · GCP · Docker · Kubernetes · Solidity · Web3.js Send me a direct message to get 30-minute session to map your architecture, align on tech stack, or define your MVP roadmap before development begins.

I'm a Senior Full-Stack Engineer with over 5 years of experience building production-grade web applications using React, Next.js, TypeScript, and Node.js. I have end-to-end expertise across the entire development lifecycle, from API design and database modeling to frontend development and UI implementation. In addition to application development, I bring strong DevOps expertise in AWS, Azure, GCP, Kubernetes, Docker, and CI/CD, allowing me to deploy, operate, and maintain the systems I build. This means you get a single engineer who can take ownership of a feature from database design all the way to production deployment and ongoing operations. I graduated with First Class Honours in Computer Science and Engineering from the University of Moratuwa, Sri Lanka, and started writing code professionally at 18. I've shipped 20+ projects across eCommerce, SaaS platforms, real-time trading systems, bioinformatics tools, CRMs, and job marketplaces. What I work with: Frontend: React, Next.js, TypeScript, Tailwind CSS, Flutter (mobile) Backend: Node.js, NestJS, Express, Java, Spring Boot Databases: PostgreSQL, Redis, ClickHouse Cloud & DevOps: AWS (EC2, ECS, S3, CloudFront, RDS), Docker, Kubernetes, Terraform, GitHub Actions Observability: Prometheus, Grafana, OpenTelemetry Integrations: Stripe, HubSpot, OpenAI, Anthropic API, Socket IO Testing: Playwright, Jest Recent work I'm proud of: Built a real-time trading marketplace processing thousands of events per second using Node.js, PostgreSQL, Redis, Bull queues, Socket IO, and Stripe. Sub-50ms latency in production. Built a HubSpot integration for a UK price-quote platform, automating the workflow between sales and client management. Designed and built Spencio, a cross-platform mobile finance app, end to end — architecture, UI, and App Store/Play Store releases. Set up a full homelab Kubernetes cluster with Flux CD GitOps, Grafana, Prometheus, and Cloudflare Tunnel running self-hosted services in production. I work independently, communicate clearly, and deliver on time. I'm comfortable in mature codebases, fast-moving startups, and everything in between. If you need someone who can ship real things, let's talk.

I'm an AI agent developer and backend architect with 10+ years building production AI systems: autonomous agents, RAG pipelines, and automation that hold up under real users and real load. I've scaled platforms to 50M+ users and shipped AI for clients across the US, UK, and Australia. IIT Kanpur alumnus. I bring both the systems depth to make AI reliable and the product sense to make it useful. What I build: 1. AI agents and agent infrastructure. Autonomous agents, MCP servers, tool use, function calling, and multi-agent orchestration that run real workflows across ops, sales, and support. I also build the harness around them, state, retries, guardrails, and observability, so they hold up in production, not just in demos. 2. RAG pipelines that survive real load. Query embedding, parallel vector search, context assembly, and streaming LLM synthesis, with ETL ingestion, chunking, dedup, and PII guardrails built in. 3. Scalable, multi-tenant backend architecture. Node.js, TypeScript, NestJS, and Python microservices with multi-tenancy, governance, and security designed in from the start, over polyglot data layers: Postgres, MySQL, MongoDB, Redis, Elasticsearch, Neo4j, ClickHouse. 4. Workflow automation and integrations. End-to-end automations with n8n, Make, Zapier, and Temporal, wired into the tools teams already use: Slack, Notion, WhatsApp, ClickUp, Telegram, and more. Selected work: - Scaled a creator-economy platform to 50M+ users on AWS EKS and Cloudflare Workers, including payments infra with Stripe Connect, Apple IAP, and Google Play Billing. - Built AI agents and MCP servers for an AI-native business platform handling finance, sales, and support workflows. - Re-architected an autonomous AI worker platform for multi-tenancy, scalability, governance, and security. - Designed a conversational RAG copilot on PostgreSQL + pgvector for project management and admin tasks via natural language. - Integrated Facebook, Google, Instagram, and TikTok ad APIs across 800+ store locations for local inventory ads and ROI tracking. Core stack: Models and frameworks: GPT-4o, Claude, Gemini, LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph, LangSmith, Semantic Kernel, DSPy. Agent infrastructure: MCP servers, function calling, tool use, multi-agent orchestration, OpenClaw, Hermes, LangServe, Modal, Replicate. Vectors and memory: Pinecone, pgvector, Weaviate, Chroma, Redis. ML and DL: TensorFlow, PyTorch, Hugging Face, Scikit-learn. Backend: Node.js, TypeScript, NestJS, Python, FastAPI, GraphQL, WebSockets, WebRTC, RabbitMQ. Data: Postgres, MySQL, MongoDB, Redis, Elasticsearch, Neo4j, ClickHouse, Firebase. Integrations: Slack, Notion, WhatsApp, ClickUp, Telegram, Twilio, Akamai, Rosette, Facebook Graph, Stripe, and marketing APIs across Facebook, Google, TikTok, Twitter, and Dropbox. Cloud: AWS (Lambda, RDS, SQS, OpenSearch, Neptune, S3, ElastiCache, Comprehend, Rekognition), GCP (Firestore, Cloud Functions). If you need someone who can take an AI idea from prototype to a system that survives real users and real load, let's talk. I reply fast and ship faster.

I’m an AI & Python Engineer focused on building full-stack backend systems, scalable APIs, and production-ready AI applications. I specialize in turning complex ideas into real systems—whether that’s backend architecture, cloud services, or AI-powered applications using LLMs and agent-based workflows. I’ve built and shipped systems ranging from high-scale backend platforms processing tens of millions of events, to multi-agent AI research tools and RAG-based knowledge systems. I like clean architecture, predictable systems, and code that doesn’t fight you at 2 AM. Core focus areas: • AI systems (LLMs, RAG, multi-agent workflows) • Python backend development (Django, FastAPI) • API design & system architecture • Scalable cloud systems (AWS, Docker, Kubernetes) • Databases & performance optimization (PostgreSQL, Redis, MongoDB) • Full-stack application development If you need something simple, I can build it fast. If you need something complex, I can make it understandable, scalable, and maintainable.

𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 | 𝐀𝐖𝐒 | 𝐄𝐓𝐋 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 | 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 | 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 | 𝐋𝐋𝐌 | 𝐑𝐀𝐆 | 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 | 𝐧𝟖𝐧 | 𝐎𝐩𝐞𝐧𝐀𝐈 | 𝐏𝐲𝐭𝐡𝐨𝐧 I help businesses build scalable data pipelines and AI-powered systems that improve decision-making, reduce costs, and automate workflows. With 6+ years of experience as a Data Engineer and growing expertise in Generative AI, I design cloud-native data architectures and enhance them with AI-driven automation, insights, and intelligent workflows. Whether you're building from scratch, scaling your data systems, or looking to integrate AI into your operations, I deliver production-ready solutions that actually drive results. ⭐ 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐈'𝐯𝐞 𝐖𝐨𝐫𝐤𝐞𝐝 𝐖𝐢𝐭𝐡: 🔹Fintech Startup processing millions of transactions/month across the U.S. 🔹Global B2B SaaS Platform with data operations across 20+ countries 🔹EU Healthcare Analytics Provider working with sensitive PHI data 🔹Manufacturing Firm automating cross-platform data flows for ERP & MES 🔹Multiple Fortune-level enterprises through agency partnerships ⭐ 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: • ETL/ELT Expertise: Airflow, AWS Glue, SSIS, custom orchestration • Data Warehousing: Snowflake, Redshift, BigQuery, SQL Server, PostgreSQL • AWS Proficiency: Lambda, Step Functions, RDS, DynamoDB, S3, CloudFormation, Terraform •Programming: Python (pandas, boto3), SQL, Shell scripting • Automation & Integration: API ingestion, serverless workflows, CI/CD pipelines • BI & Analytics: Power BI, Tableau, QuickSight, Looker • Best Practices: Version control, unit testing, GitOps, Dockerized environments • Security & Compliance: Handling of PII/PHI, audit-ready pipelines ⭐𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 & 𝗦𝗸𝗶𝗹𝗹𝘀: • Languages & Frameworks: Python, Django, FastAPI, React,Next, Streamlit • AI/LLM Tools: OpenAI API, LangChain, Langgraph, MCP, Anthropic, ElevenLabs, Whisper • Automation & Infra: RAG pipelines, multi-agent frameworks, workflow orchestration, AWS, Azure • Integrations: CRMs, ERPs, Firebase, Slack, MS Teams, custom APIs • ML&DL (Tensoflow,PyTorch) • NLP • Large Language Models (LLMs) • Prompt Engineering • GANs • QueryGeneration (GenQ) • GPL for semantic search • LangChain ⭐ 𝐖𝐡𝐲 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞? 🔹Client-Focused Delivery: I prioritize measurable impact and long-term value 🔹Clear Communication: Frequent updates, transparent planning, and no surprises 🔹Trusted Partner: Many clients return for new projects or refer others 𝗔𝗯𝗼𝘂𝘁 𝗺𝘆 𝗰𝗼𝗺𝗽𝗮𝗻𝘆: DotLabs is an Data engineering & AI-first development company specializing in Generative AI, automation, and domain-specific AI applications. With expertise in Python, JavaScript, AI frameworks, and cloud deployment, we deliver end-to-end, production-ready web and mobile solutions that turn AI innovation into real business impact. Let’s build a system that not only handles your data, but uses AI to make it smarter. Send me a message and let’s discuss your project. Data Engineering, AWS, ETL Pipelines, AI Automation, LLM, RAG, Chatbots

I help companies turn complex data and AI ideas into reliable products. With 𝟭𝟬+ 𝘆𝗲𝗮𝗿𝘀 𝗶𝗻 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, I’ve built platforms that 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗼𝘃𝗲𝗿 𝟭𝟬𝟬 𝗚𝗕 𝗱𝗮𝗶𝗹𝘆, run a 𝗺𝗶𝗹𝗹𝗶𝗼𝗻+ 𝘀𝗰𝗿𝗮𝗽𝗶𝗻𝗴 𝗿𝗲𝗾𝘂𝗲𝘀𝘁𝘀 𝗽𝗲𝗿 𝗱𝗮𝘆, and support 𝗱𝗮𝘁𝗮 𝗹𝗮𝗸𝗲𝘀 𝘄𝗶𝘁𝗵 𝟭𝟬+ 𝗧𝗕. Clients hire me to design and deliver end-to-end pipelines, AI agents, and automation that save time and drive decisions that impact business. 𝗞𝗲𝘆 𝗔𝗰𝗵𝗶𝘃𝗲𝗺𝗲𝗻𝘁𝘀: - Architected and built systems that process and analyze 100+ GB of data daily, managing over 10 TB of historical data - 10 years building production systems with advanced AI and data analytics (6 years as a software architect) - Developed large-scale web scraping platforms (exceeding 1 million requests daily) with sophisticated anti-blocking techniques - Running my own SaaS taught me to keep solutions practical and easy to use. I care about what helps the business, not fancy features no one needs - Deep expertise across the entire data lifecycle, from data collection to actionable insights - Clear communication in English and on-time delivery 𝗖𝗼𝗿𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: - 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀: development of AI agents to handle routine tasks and help teams focus on making decisions. - 𝗟𝗟𝗠𝘀 & 𝗚𝗲𝗻𝗔𝗜: Integration of LLMs and generative AI. - 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: design systems for AI and data-driven projects keeping the real needs of the business in mind. - 𝗗𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: end-to-end ETL and data engineering to turn raw data into insights. - 𝗪𝗲𝗯 𝘀𝗰𝗿𝗮𝗽𝗶𝗻𝗴: I do advanced web scraping and automated data collection. - 𝗠𝗩𝗣 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: help teams quickly test ideas for AI and data-driven products so they don’t waste months building the wrong thing. - 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: streamlining workflows and reducing manual work wherever possible. - 𝗖𝗹𝗼𝘂𝗱 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: set up on AWS or Azure so it runs smoothly and build scalable infrastructure. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝘀𝘁𝗮𝗰𝗸: 𝗔𝗜 & 𝗟𝗟𝗠𝘀: OpenAI (ChatGPT, GPT-4/4o) | LangChain | LangGraph | RAG pipelines 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: Python | C# 𝗔𝗣𝗜𝘀 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: FastAPI | ASP.NET 𝗗𝗮𝘁𝗮 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: ETL tools, PostgreSQL | Snowflake | ClickHouse | MongoDB | Azure AI Search | Redis 𝗠𝗲𝘀𝘀𝗮𝗴𝗶𝗻𝗴: Kafka | RabbitMQ | Azure Service Bus 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀: AWS | Azure | Docker | CI/CD pipelines 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: Selenium | Scrapy 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀: Streamlit | Power BI 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: n8n | custom bots | workflow automation 𝗪𝗵𝘆 𝘁𝗼 𝗰𝗵𝗼𝗼𝘀𝗲 𝗺𝗲? I’ve spent years collecting data from all kinds of sources and building real, working AI solutions. On top of that, running my own product taught me to think like a founder. So I’m not just here to get the job done - I’m here to help you find the smartest, most effective way to hit your goals.

I'm a full-stack engineer with 19+ years of delivery experience, and I use AI-agentic workflows to help startups and businesses ship production-grade products faster without the quality trade-offs that usually come with "fast." My stack is PHP/Laravel, Python, Go, Vue/Nuxt, and modern cloud (AWS). But the real difference isn't the tools it's how I use them. Every project starts with Spec-Driven Development: I turn a vague idea into a precise, reviewable spec before a line of code is written. AI agents (Cursor, GitHub Spec Kit) then handle the implementation heavy-lifting, while I provide the senior oversight that keeps the output clean, scalable, and free of the hallucinations and technical debt that sink most "AI-built" projects. When a fast prototype is what you actually need, I'll reach for rapid AI prototyping too but always with a clear path to production. WHAT THIS MEANS FOR YOU - Faster launches spec-first planning plus AI execution compresses delivery time substantially. - Quality that holds up every spec and every commit is reviewed by a senior engineer, never shipped blind. No "vibe coding" chaos. - Fewer rewrites getting the spec right upfront means we build the right thing once. - Predictable scope & cost you see and approve the plan before work begins, so there are no surprises. FULL-STACK OWNERSHIP, END TO END - Backend: Laravel, Go, Python APIs, queues (RabbitMQ/Redis), high-traffic systems. - Frontend: Vue/Nuxt, responsive and accessible UIs. - Databases: MySQL, PostgreSQL. - Cloud: AWS (Lambda, S3, RDS, ElastiCache). - AI integrations: Claude, GPT, Copilot automation, predictive insights, personalization. I handle zero-to-one MVPs, legacy modernizations, and AI-enhanced features across finance, healthcare, e-commerce, and more. HOW I WORK WITH YOU - Flexible availability across US, Australia, and EU time zones. - Transparent communication, collaborative iteration, and strategic guidance — not just code. - A track record of high-traffic apps maintained at scale, revenue-driving features shipped on time and budget, and long-term partnerships built on trust. If you're looking for a senior partner who can move fast and deliver code that lasts, let's talk. Message me to discuss your project I'm ready to help you launch faster, smarter, and stronger. Best regards, Vladimir Founder / Team Lead at SmartThingsKz

Hi everyone 👋 I'm a high-skilled (7+ years) Full-Stack Developer. I have 8,000+ hours of a proven track record and 16 completed jobs here on Upwork. Through many projects, I have mastered problem-solving skills and just fell in love with what I'm doing. Creating new products is what brings me much more joy than anything else. I especially like small and big projects that require uncommon approaches and use of the most efficient methods. My skills: — JavaScript/ES6; — Typescript; — Cursor, Claude Code; — Node.js, Express.js; — React.js/Next.js; — Redux/Redux Toolkit/Tanstack-Query/Zustand/React Context; — HTML5, CSS3 and LESS (SASS); — React-Native IOS/Android, Expo; — Material UI, Ant Design, styled-components, Tailwind; — Agile: Jira, Trello, Notion, Linear and Slack; Other: Webpack, REST APIs, Git, Docker, GitHub Actions (CI/CD pipeline). Databases: MongoDB, Mongoose, Firebase/Firestore, Planescale, Supabase, ClickHouse Familiar with: AWS, Electron, Inngest, Redis. I'm open to both part-time and full-time positions, so feel free to send me an invitation any time! You'll be rewarded once we work together :)

Hi, I’m Marcus. A data professional specialized in building reliable analytics systems and decision-grade datasets. I help companies structure data foundations that actually support reporting, forecasting, and business decisions. My work focuses on data modeling, SQL logic, metric definitions, and transformation layers; the part of BI that makes dashboards correct, not just visual. I work across: SQL & Data Modeling: fact tables, dimensions, KPI logic, performance optimization Analytics Engineering: transforming raw data into clean business layers Business Intelligence: Power BI, Metabase, Apache Superset, Looker Studio Python: ETL, automation, data validation, pipeline scripting Data Quality & Governance: consistency checks, metric validation, reporting reliability I’ve worked with revenue analytics, pricing logic, operational reporting, growth metrics, and large production datasets; building analytics foundations that scale and stay accurate over time. If your problem isn’t “a chart” but structure, trust, or correctness of data, that’s where I add value. Let’s connect.