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🚀 Senior AI Developer specializing in Python, LangChain, LLMs, RAG, AI Agents, SaaS applications, AWS, and API integrations. Are you looking for AI Developer, LLM Engineer, LangChain Developer, RAG Developer, AI Agent Developer, Python Developer, AWS, SaaS, OpenAI API, and Machine Learning Engineer ? I help startups and businesses build production-ready AI solutions using OpenAI, Anthropic, Gemini, LangChain, vector databases, RAG pipelines, and intelligent automation workflows. From custom chatbots and AI agents to scalable SaaS platforms and cloud deployments on AWS, I deliver reliable, high-performance solutions focused on business outcomes. ✅ Python Development ✅ Machine Learning Development ✅ LangChain & LLM Applications ✅ RAG & Vector Databases (Pinecone, FAISS, Chroma) ✅ AI Agents & Workflow Automation ✅ AWS Cloud Deployment ✅ REST APIs & Third-Party Integrations ✅ SaaS Product Development ✅ AI Application Development ✅ AI Chatbot Development ✅ Data Analytics & Dashboard Development Building AI-powered SaaS applications, custom chatbots, RAG systems, AI agents, LLM integrations, cloud-native applications, and scalable backend solutions. 🛠 Skills and Expertise: As a versatile professional, I offer expertise in various domains: AI Development & Automation • Design and develop AI-powered applications using Python, Large Language Models (LLMs), and modern AI frameworks. • Build intelligent AI Agents, multi-agent systems, and workflow automation solutions to streamline business processes. • Develop Retrieval-Augmented Generation (RAG) systems using vector databases such as Pinecone, ChromaDB, Weaviate, and FAISS. • Integrate OpenAI, Claude, Gemini, Hugging Face, and other AI models into custom applications and enterprise workflows. • Create AI chatbots, virtual assistants, document processing systems, knowledge bases, and customer support solutions. • Build scalable AI SaaS products with secure APIs, cloud infrastructure, and production-ready architectures. • Implement LangChain, LangGraph, CrewAI, AutoGen, and agent orchestration frameworks for advanced AI workflows. • Design prompt engineering strategies, evaluation pipelines, and AI optimization workflows to improve model performance and reliability. Software Engineering & Technical Guidance • Develop robust backend systems, REST APIs, web applications, and automation tools using Python, FastAPI, Django, Flask, JavaScript, and SQL. • Review, debug, and optimize code for maintainability, performance, scalability, and security. • Design software architectures, microservices, and distributed systems following industry best practices. AI, Machine Learning & Data Science • Build NLP applications, recommendation systems, predictive analytics solutions, and custom machine learning models. • Fine-tune, evaluate, and deploy machine learning and LLM-based applications for real-world use cases. • Perform data cleaning, feature engineering, model evaluation, and experimentation to maximize business value. Cloud, DevOps & Infrastructure • Deploy and manage AI applications on AWS, Azure, and GCP. • Build CI/CD pipelines, Docker containers, Kubernetes deployments, and scalable cloud-native architectures. • Implement Infrastructure as Code (Terraform, Ansible) and monitoring solutions using Prometheus, Grafana, ELK Stack, and cloud-native services. Data Engineering & Databases • Design and optimize SQL, NoSQL, vector, and graph databases for high-performance applications. • Build ETL/ELT pipelines using Apache Airflow, DBT, Apache Spark, and modern data engineering tools. • Design scalable data warehouses and analytics platforms using Snowflake, BigQuery, Redshift, and other cloud data solutions. I help startups, SaaS companies, and enterprises transform ideas into production-ready AI products that deliver measurable business impact. 🚀 My Commitment: I am committed to crafting customized solutions, from user-friendly websites to powerful apps and innovative AI applications. Your satisfaction is my top priority, and I aim to exceed your expectations. If you have any questions or wish to explore how we can collaborate, please feel free to reach out. Thank you for considering my expertise. Best regards, Rimjhim

Plenty of multi-agent systems work in a demo and then break once real users are on them. I build them to keep working once they're live — under real traffic, with the messy inputs and edge cases a demo never shows. I'm a multi-agent AI engineer, focused on orchestration, evaluation, and regression testing so behavior stays predictable as you scale. I've built state-of-the-art multi-agent AI products used by tens of thousands of people in production. Nearly 10,000 hours on Upwork, 50+ five-star projects for clients worldwide, and 15+ AI builds in the last two years — most of them multi-agent work, and a good amount of GraphRAG. What I do: Multi-agent systems. I match the right model to each job and put evaluation datasets and regression tests in from the start, so behavior stays predictable as you add agents, tools, and traffic. GraphRAG and knowledge graphs. Graph plus vector search for accurate retrieval, with every answer traceable back to its source — which matters when a wrong answer is expensive. Production engineering. GCP-first, with Kubernetes or serverless and CI/CD. Open-source models on vLLM when cost matters, commercial APIs when they're the better fit, and clean Ubuntu deploys when you'd rather keep things simple. I also do voice AI — real-time conversations with noise cancellation and voice-activity detection. It's there as an add-on for teams that want it later. Recent work: CoinQuant – AI trading strategy platform — multi-agent graph architecture where users describe trading strategies in plain English and the system validates, structures, and backtests them automatically. Manager agents orchestrate specialized sub-agents — a Strategy Expert and a Domain Expert — each with access to 30–40 custom LLM tools. Used by tens of thousands of users in production. LangSmith observability throughout for debugging and optimization across the full graph. Multi-agent platform at scale (Wand.ai) — agents with code execution, email and calendar access, file search, and long-term memory, running on a GCP event-driven, Kubernetes-backed stack with CI/CD. Used by tens of thousands of users in production. GraphRAG pipeline for a global commercial-vehicle manufacturer — hybrid retrieval over unstructured documents, automating event-to-component mapping that used to be done by hand. Voice AI interviewer — real-time multi-agent voice conversations, built to run at about a tenth of the usual cost. If you're building a multi-agent product and need it to hold up once it's live, that's the work I'm best at. Tell me what you're building and where it's giving you trouble, and I'll be honest about whether I'm the right person for it.

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.

🚀 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 | 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 | 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 | 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 | 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 | 𝗔𝗜 𝗦𝗮𝗮𝗦 & | 𝗔𝗜 𝗔𝗽𝗽 𝗗𝗲v𝗲𝗹𝗼𝗽𝗲𝗿 🏆 Top Rated 👨‍💻 𝘈𝘷𝘢𝘪𝘭𝘢𝘣𝘭𝘦 immediately ✅ 100% Job Success 🚀 On-time Delivery I design and develop intelligent AI-powered applications that automate business processes, improve decision-making, and enhance customer experiences. With expertise in Python, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, SaaS platforms, and cloud technologies, I build scalable solutions from concept to production. My experience includes developing AI chatbots, multi-agent systems, document intelligence platforms, recommendation engines, predictive analytics solutions, workflow automation tools, and enterprise SaaS applications. I specialize in integrating OpenAI, Claude, Gemini, and open-source LLMs with modern backend architectures using FastAPI and cloud infrastructure on AWS. From data collection and model training to deployment, monitoring, and optimization, I deliver end-to-end AI solutions that help businesses reduce operational costs, increase efficiency, and unlock valuable insights from their data. 🎯 Core Skills ✔ Artificial Intelligence (AI) ✔ Machine Learning (ML) ✔ Generative AI ✔ Large Language Models (LLMs) ✔ Retrieval-Augmented Generation (RAG) ✔ AI Agent Development ✔ Multi-Agent Systems ✔ Prompt Engineering ✔ Natural Language Processing (NLP) ✔ Deep Learning ✔ Predictive Analytics ✔ Data Science ✔ SaaS Development ✔ Backend Development ✔ API Development ✔ Workflow Automation ✔ Cloud Computing ✔ MLOps ✔ Data Engineering ✔ Dashboard & Reporting ⚙️ Tech Stack ➤ Programming Languages Python, React, Node.js, Django, Flask, FastAPI, Next.js, jQuery, SQL, JavaScript, TypeScript, HTML, CSS ➤ AI & Machine Learning OpenAI GPT, Claude, Gemini, Llama, LangChain, LangGraph, CrewAI, AutoGen, Hugging Face, TensorFlow, PyTorch, Scikit-Learn, XGBoost ➤ RAG & Vector Databases Pinecone, Weaviate, ChromaDB, FAISS, Qdrant, Elasticsearch ➤ Backend Development FastAPI, Flask, Django, REST APIs, GraphQL, WebSockets ➤ Databases Development PostgreSQL, MySQL, MongoDB, Redis, Airtable, DynamoDB, Neo4j, Elasticsearch, OpenSearch ➤ Cloud & DevOps AWS, Docker, Kubernetes, Terraform, GitHub Actions, CI/CD Pipelines, Linux ➤ Data Visualization Power BI, Tableau, Looker, Kibana, Grafana, Elasticsearch, Streamlit, Plotly, Dash, R ➤ Automation & Integration OpenClaw, Zapier, Make, n8n, Apache Airflow, Pipedream, Celery ➤ CRM & Sales Automation HubSpot, Salesforce, GoHighLevel (GHL), Pipedrive, Zoho CRM, Streak CRM ➤ Communication Automation Twilio, SendGrid, Gmail API, Outlook API, Slack, Microsoft Teams, WhatsApp Business API 🔥 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 :- Development Expertise ✅ AI Chatbots & Conversational AI ✅ RAG-Based Knowledge Assistants ✅ Autonomous AI Agents & Multi-Agent Systems ✅ Document Processing & OCR Intelligence ✅ Voice AI Agents ✅ Recommendation Systems ✅ Predictive Analytics Platforms ✅ Custom SaaS Applications ✅ CRM & Business Process Automation ✅ AI-Powered Search Engines ✅ Data Pipelines & ETL Systems ✅ Dashboard & Reporting Solutions ✅ LLM Fine-Tuning & Model Evaluation ✅ AWS Cloud Deployment & Scaling ✅ API Design & Microservices Architecture ✅ Enterprise AI Solutions ✅ End-to-End Machine Learning Pipelines ✅ MLOps & Production AI Infrastructure 🏢 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗜𝗘𝗦 Healthcare, Finance & FinTech, E-commerce, Real Estate, Education, Legal Tech, Marketing & Sales, Logistics & Supply Chain, Human Resources, Customer Support, Manufacturing, SaaS Startups & Enterprises 📊 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 & 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 Power BI, Tableau, Looker Studio, Qlik Sense, Executive Dashboards, KPI Tracking, Business Intelligence, Data Storytelling, Real-Time Analytics, Performance Monitoring, Forecasting & Trend Analysis D3.js, Plotly, Chart.js, Highcharts, ECharts, Grafana, Metabase, SQL, BigQuery, Snowflake, Redshift, ETL Pipelines 🎯 𝗟𝗟𝗠 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 & 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 LoRA, QLoRA, RLHF, HuggingFace. vLLM, TGI, TensorRT-LLM, DeepSpeed on AWS / RunPod / GCP, Azure. 🤖 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 OpenClaw, LangChain, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Google ADK 💬 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 IVR, websites. Botpress, Voiceflow, Chatbase, Dialogflow, Rasa, Flowise, Dify, Langflow 🗣️ 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 Vapi, Retell AI, Bland AI, ElevenLabs, Twilio, AI receptionists, SDR callers, appointment bookers ⚙️ 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 Briefing call → Architecture → Fast prototype → Production & co → Documentation / handoff I offer 𝟯𝟬 𝗺𝗶𝗻 𝗽𝗮𝗶𝗱 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻𝘀 for AI architecture review, build vs. buy decisions, and MVP scoping. ━━━━━━━━━━━━━━━━━━━━━━━ 💬 LET’S BUILD ━━━━━━━━━━━━━━━━━━━━━━━ 👉 Send me a message — I’ll help you design and build it the right way.

Please read below for a full list of my proficiencies, but for your quick reference as to what I am a master at: * payment gateway solutions (Stripe Certified Developer, PayPal, Authorize.net, Skrill, Braintree, Square, Adyen, cybersource,NMI,2 Checkout, stripe terminal,stripe identity verification, Moneris ,Airwallex,eway, Razorpay, Payu, Paytm, Icici bank, Master CardStripe, cloaking payment gateway expert, etc). * Chat Air.AI with GHL , live trasnfer, call recording , zapier setup with chat air ai, Update GHL lead with Chat Air.AI. * I will solve whatever your payment challenge is or solution that you are looking for. * Generally, I am quite clever with Rest APIs * I have now built several fundraising websites from the ground up that have exceeded my clients expectations. I obviously also maintain them as necessary (which isn’t much if I built them). 
 I'm a Software enthusiast with over 14 years of development experience. I am an expert in Javascript (Node.js, React.js, Vue.js & Angular.js) and all things PHP (Laravel, Magneto, Wordpress, Drupal, Shopify, YII, CAKE) and their complimentary mobile applications (Native Android, IOS, Flutter and React Native to develop applications). I am also experienced with Python, if that is your preference. Along my journey creating web applications, websites, and mobile applications I have contributed to several open-source libraries along the way. I have a strong base in software development with an awesome educational record in my curricula. Over the years, regardless of the technical challenge, I solve the issue with great precision and accuracy. Whether working autonomously or with a team I always exceed best practices, stringently employing version control systems (BitBucket, GIT, Deployment Pipes, Jenkins, etc..), and excel within Linux, AWS, CDNs, S3, Amplify , RDS, etc… I'm addicted to clean workflow using testing frameworks like Karma, Mocha, and Tape. I'm also a part of a team creating a cross-platform desktop application in Electron.js. I have sharp skills in database systems including MySQL, NoSQL databases, and Graph databases like OrientDB and Neo4j. I am Swiftlane api Integrator partner I write impeccable and maintainable code, building a reusable foundation, while also keeping my clients updated about emerging technologies. If the project involves a new technology, I easily and quickly become proficient in the new technologies without any complications, with hundreds of successfully completed projects. 
I look forward to working with you, Arun 

For fundraising website references, please find: 
 Our Fund ugive2 – Simple-Fast-Fundraising Colour Blast – Fundraising Made Easy

I architect and deliver production ready systems that scale from day one, boosting profits while reducing costs. With 15+ years across telecom, logistics, and enterprise platforms, I specialize in turning complex requirements into clear, working backends. What I Specialize In System Architecture & Backend Development → Java, Spring Boot, APIs, Microservices, Distributed Systems Event-Driven Platforms → Apache Kafka, Redis, PostgreSQL, MongoDB, Neo4j Modernization Blueprints → phased cutovers from legacy stacks to microservices & cloud-ready systems First Production Slice Delivery → APIs, event contracts, CI/CD pipelines, observability, and clear documentation baked in How I Help You • From scratch: I’ll turn your idea into a clear architecture and working first slice in production. • Production-focused: I’ll deliver real systems that scale safely, not endless PoCs. • Slice-by-slice growth: Add features safely while keeping every step operable. • Legacy modernization: I’ll blueprint your modernization so you move to APIs/microservices without risky rewrites. Outcomes Delivered • Cut telecom API latency from 3s → 200ms • Built topology graph platform unifying 30+ inventory feeds • Migrated monolith to Kafka microservices powering 50M+ daily transactions • Cut server costs by 60% through microservices rightsizing and caching strategies • Reduced customer onboarding time from 3 days to 2 hours through API automation • Eliminated system crashes during 10x traffic spikes through proper load balancing Why hire me I’m not here to “just code features.” I architect and build the first production slice that your team can scale confidently. Whether you’re designing new systems or modernizing legacy ones, I help you move forward with clarity and confidence.