Hire the Best Gentoo Developers

I help businesses ship production-ready AI features (RAG systems, LLM integrations, chat assistants, and workflow automation) on top of clean, scalable web apps using Laravel and Next.js. Most developers treat AI as a plugin. I build it as part of the architecture, so the intelligence actually fits your data, your stack, and your users. I'm a full-stack developer with a perfect 5.0 rating across every completed project, now focused on the area where I do my best work: connecting modern web applications to real AI capability. While a lot of AI developers live entirely in the Python world, I work where most businesses actually are (Laravel, Next.js, TypeScript, and PostgreSQL) and add the AI layer on top without forcing you to rebuild everything. What I can build for you: • RAG systems: let your users ask questions and get answers grounded in your own documents, with embeddings, vector search (pgvector), and streaming responses. • LLM integration: Claude and OpenAI wired directly into your app for chat, content, search, and smart features that go beyond a simple API call. • AI assistants & lead/support flows: conversational tools that capture leads, answer customers, and handle real intent, not just scripted FAQ replies. • AI automation: n8n workflows that connect your AI to the tools you already use (calendars, CRMs, notifications) so the busywork runs itself. My stack: Backend: Laravel, REST APIs, Node.js · Frontend: Next.js, React, TypeScript, Tailwind CSS · AI: Claude API, OpenAI API, RAG/embeddings, pgvector · Automation: n8n · Databases: PostgreSQL, Supabase, MongoDB How I work: I keep things clear from day one: we agree on scope and milestones before I write a line of code, I send regular updates so you're never guessing, and I deliver tested work with documentation you can actually hand to the next person. You get a developer who communicates like a partner, not a contractor who disappears. You can see real, working examples in my portfolio below: AI applications I've built across real estate, e-commerce, healthcare, and document Q&A, each one demonstrating a different piece of the AI + full-stack puzzle. If you've got an idea for an AI-powered product, or an existing app that needs real AI capability added, send me a message and tell me what you're building. I'll tell you honestly how I'd approach it.

- Rust, Tauri, Desktop App - Langchain, Langgraph, Langsmith, OpenAI, Pinecone, Claude, AI Agent orchestration, Chatbot, Multi agents, RAG pipeline - Stripe, Outseta - Next.js, PayloadCMS, Vue3, Python, Node.js, Astryx, Shadcn, TailwindCSS - Supabase, Firebase

I build production AI agents and the full stack SaaS they run on. AI Engineer and founder, 14 years shipping software that scales. I build for business outcomes, not demos. 🔵 200K+ websites powered 🔵 AI platform acquired by a US edtech company 🔵 Trusted by GSK, EY, Aramco & Careem 🔵 Enterprise cybersecurity SaaS since 2018 ⚡ Core: AI Agents & LLM Systems • AI agent development and multi-agent orchestration (OpenAI Agent SDK, LangChain, LangGraph, CrewAI, Google ADK) • RAG pipelines and vector search (Pinecone, Qdrant, Neo4j, LlamaIndex) • LLM apps on GPT-4, Claude, and Gemini with function calling, tool use, and guardrails • AI chatbots, voice AI, and conversational AI • Business process and workflow automation • Prompt engineering, NLP, and generative AI ⚡ Full Stack & Product • Next.js, React, TypeScript, Node.js, Tailwind CSS • PostgreSQL, Supabase, Firebase • UI/UX design from Figma to deploy • SaaS platforms, dashboards, landing pages, and AI MVPs • Cloud on AWS, Google Cloud, Vercel, Docker, Kubernetes • Enterprise security, GDPR/SOC2, and AI safety guardrails 🚀 Products I have built and shipped • Marvel AI: AI teaching assistant for educators (acquired) • Verifact: multi-agent fact-checking platform for newsrooms • Sports Scribe: multi-agent fan engagement for sports franchises • Cloudnosys: enterprise cybersecurity SaaS, clients since 2018 • ProStyler: no-code builder powering 200,000+ sites 🤝 Trusted by GSK, Banque Saudi Fransi, Careem, Snoonu, Netcoins, Safepay, PayPro, Bazaar, and Bykea. 💡 Why clients keep coming back • Production systems, not prototypes: logging, fallback logic, rate limit handling, and docs • Founder-level judgment: I tell you if the business model makes sense before we build • Full ownership across product, backend, AI, and frontend • I work like your teammate, on Slack, asking the hard questions early Tell me the problem you are solving and I will give you honest feedback on the approach before we commit.

I build RAG pipelines and LLM-powered applications that actually ship. My recent work includes a production-grade hybrid retrieval system (BM25 + FAISS + Ollama) deployed for a logistics company, significantly reducing their document lookup time across a large knowledge base. Here's what I typically build for clients: — Multi-agent systems using LangGraph and LangChain, handling complex, multi-step reasoning and task orchestration — RAG pipelines with hybrid retrieval (dense + sparse), local LLMs via Ollama, and vector stores like ChromaDB and FAISS — Computer Vision applications for object detection, classification, and domain-specific analysis — AI-powered web apps with React or Next.js frontends and Flask/Python backends — Workflow automation connecting LLMs to external APIs, tools, and data sources via N8N or custom integration I care about systems that are maintainable, explainable, and ready for real users — not just ones that pass a demo. 100% Job Success · Top Rated on Upwork BSc Computer Science — PUCIT CS50's Introduction to AI with Python (HarvardX) · Python for Data Science (Udemy)

I’m John Maheswaran, a senior software engineer with 15+ years of experience building high-impact software across industries. I focus on Artificial Intelligence, Extended Reality (AR/VR/XR), RAGs and next-generation technologies as well as UX/UI and product focused design. I hold a PhD in Computer Science from Yale and a BA from Cambridge. 🔍 My Core Focus Areas: - AI/ML & RAG & Generative AI: OpenAI, LangChain, custom LLM fine-tuning, real-time AI agents - XR / AR / VR: Unity, WebAR, 8thWall, iOS ARKit, mobile XR experiences - Interactive Frontends: React, Next.js, Three.js, web-based XR interfaces - Backend APIs & Infrastructure: Python, Golang, NodeJS, PostgreSQL, AWS Lambda, Docker - Design: Figma, Miro, UX/UI design, wireframes, prototyping 🛠️ Tech Stack Highlights: - Languages: Python, Golang, Typescript, Javascript, Swift - Frameworks: React, NextJS, ExpressJS, NestJS, Ruby on Rails - XR/AR: Unity, WebXR, 3D Modeling & Rigging, Game Mechanics - Cloud: AWS, GCP, Azure, Serverless Architecture - CI/CD: GitHub Actions, Terraform, Kubernetes, Docker 🎓 Education: - PhD in Computer Science – Yale University - BA in Computer Science – University of Cambridge 🌟 What Sets Me Apart: - Deep expertise in AI + immersive tech (XR/AR/VR) - End-to-end product development: prototypes to production - Strong UX/UI design integration - Product focused thinking

I’m a senior AI systems and full-stack engineer with deep experience designing, building, and shipping production AI products end to end. I specialize in turning complex ideas into reliable, scalable systems that actually work in the real world. My background spans AI/ML pipelines, backend systems, and modern web applications. I’ve led and contributed to projects involving large language models, multimodal analysis (video/audio), RAG architectures, automation pipelines, and subscription-based SaaS platforms. I’ve worked both as a freelancer and as a lead engineer on internal AI products used by real customers at scale. What I do best is bridge the gap between research and production. I don’t just prototype. I design systems that handle edge cases, cost constraints, performance targets, and long-term maintainability. That includes API design, data modeling, infrastructure decisions, and clear handoffs to frontend or product teams. Core strengths: → AI, Agents & LLM Systems: RAG pipelines (LangChain, Pinecone), Model Context Protocol (MCP), OpenAI/Gemini/Whisper, and custom evaluation frameworks. → Backend Engineering: Java Spring Boot, .NET, Python, Ruby on Rails, Node.js, PHP. → Workflow Automation: Complex orchestration using n8n and Zapier to connect AI agents with business logic. Full-Stack Apps: React, Next.js, TypeScript, .NET, Java, PHP, Ruby on Rails, Supabase, Stripe, and secure authentication flows. Data & Infrastructure: Postgres, MySQL, Docker, AWS, and CI/CD pipelines. I’m especially strong in AI products that involve: ✓ Advanced RAG: Retrieving context from complex datasets (PDFs, Databases) for accurate LLM responses. ✓ Multimodal Analysis: Processing Text, Audio, and Video inputs. ✓ Structured Outputs: ensuring JSON reliability and strict evaluation logic. ✓ Cost-Aware Workflows: Optimizing token usage and latency. ✓ Human-in-the-loop Systems: Designing approval flows for critical AI tasks. Clients hire me when they need someone who can think like an engineer, a product owner, and a business operator at the same time. I ask the right questions up front, communicate clearly, and deliver systems that are built to last. If you need help designing a robust RAG system, stabilizing a backend, shipping a full product, or untangling an automation workflow that’s gotten too complex, I can help. Happy to jump on a call and talk through your problem before writing a single line of code.