Hire the Best OpenAI on AWS Developers

⭐𝗜 𝗼𝗳𝗳𝗲𝗿 𝗮 𝗳𝗿𝗲𝗲 𝟭𝟱-𝗺𝗶𝗻𝘂𝘁𝗲 𝗔𝗜 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗮𝘂𝗱𝗶𝘁 𝘁𝗼 𝘀𝗵𝗼𝘄 𝘆𝗼𝘂 𝗵𝗼𝘄 𝗔𝗜 𝗰𝗮𝗻 𝗯𝗼𝗼𝘀𝘁 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗻𝘀𝘁𝗮𝗻𝘁𝗹𝘆. ⭐𝗬𝗼𝘂𝗿 𝗕𝗼𝗻𝘂𝘀 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲 You get a developer with Agentic AI, OpenAI, RAG systems, automation, Full Stack dev, and backend expertise — all in one person. That means you hire one expert instead of 3 and save both time and cost. 𝗠𝗼𝘀𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝘀𝘁𝗿𝘂𝗴𝗴𝗹𝗲 𝗯𝗲𝗰𝗮𝘂𝘀𝗲: ❗ AI tools don’t work the way they expect ❗ Developers deliver incomplete or unstable systems ❗ Integrations break at scale ❗ Workflows are manual, slow, or outdated ✅ 𝗠𝘆 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 I build production-ready AI systems that actually work. From Agentic AI automation to RAG pipelines, OpenAI integrations, N8n workflows, and full-stack platforms — I deliver reliable solutions that boost efficiency and reduce workload. I combine AI engineering + backend expertise + full stack development to give you a complete, scalable solution from idea to deployment. ⭐ 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ✔ Agentic AI Systems ✔ LLM Integration & Automation ✔ RAG Pipelines ✔ N8n Workflow Automation ✔ Full Stack Development ✔ Backend APIs ✔ OpenAI / Vapi / ElevenLabs ✔ Python, JS, TypeScript ✔ Scalable Cloud Deployments ⭐ 𝗦𝗸𝗶𝗹𝗹𝘀 ✔ Python, JavaScript, TypeScript ✔ FastAPI, Node.js, Next.js ✔ OpenAI, Llama, DeepSeek ✔ Vector Databases ✔ Supabase, PostgreSQL ✔ Docker, Kubernetes ✔ API Development & Integrations ✔ Real-time Automation ✔ AI Agents & Multimodal Workflows ⭐ 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗢𝗳𝗳𝗲𝗿 ➤ Agentic AI automation & multi-agent systems ➤ Custom RAG architecture & knowledge bases ➤ AI-powered chatbots, voicebots, virtual assistants ➤ N8n automations for CRM, email, workflow management ➤ Backend engineering (APIs, auth, scalable services) ➤ Full-stack platforms with Next.js & Supabase ➤ OpenAI, Vapi, ElevenLabs integrations ➤ API development and cloud deployments ➤ End-to-end AI MVPs & enterprise solutions ⭐ 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 ✔ Built scalable backends for agentic AI platforms ✔ Developed job placement & scheduling platforms ✔ Worked with Llama 3.1, DeepSeek, custom models ✔ Built multi-agent automation frameworks ✔ Integrated Zoom, Calendly, Google Meet, Twilio ✔ Built dashboards, NLP systems, and automation pipelines ⭐ 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 ✔ SaaS ✔ Healthcare & Medical AI ✔ Recruitment & HR Tech ✔ Finance & Market Analytics ✔ E-commerce ✔ Automation & Operations ⭐ 𝗗𝗼𝗺𝗮𝗶𝗻𝘀 ✔ AI Automation ✔ NLP & LLM Apps ✔ Backend Architecture ✔ Full-Stack Platforms ✔ Data Processing ✔ Voice & Chat Automation ⭐ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 ✔ OpenAI, Llama, DeepSeek ✔ N8n, LangChain ✔ Supabase, PostgreSQL, Redis ✔ Docker, Kubernetes ✔ Vercel, AWS ✔ Vapi, ElevenLabs ✔ Git, CI/CD If you want AI systems that actually work, workflows that run automatically, and software that scales — let’s build it together. 👉 Send me a message now. I’ll review your needs and give you a free 15-minute strategy plan to get started. 🔑 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀 AI development, Agentic AI, RAG, OpenAI, LLM integration, Python, TypeScript, JavaScript, n8n automation, Vapi, ElevenLabs, FastAPI, Next.js, Supabase, backend development, full stack development, AI automation, vector database, chatbot development, workflow automation, NLP, machine learning, AI engineer, API development, cloud deployment, Docker, Kubernetes, Node.js, enterprise AI, custom LLMs, model integration, AI workflows, automation pipelines, AI agents, microservices, scalable systems, frontend backend integration, AI tools, SaaS development

Hi there! I’m 𝗣𝗿𝗮𝘀𝗵𝗮𝗻𝘀𝗵𝗮 - a Full Stack Developer with 5+ years of experience delivering high-quality, cloud-native web applications. I specialize in building scalable solutions using AWS, GCP, and modern frameworks like React, Node.js, and Python. From frontend interfaces to backend systems and cloud architecture, I bring full-cycle expertise to every project. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React, TypeScript, JavaScript 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Node.js, Express, Python 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL, Redis, MongoDB 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: • AWS (Lambda, S3, API Gateway, ECS, DynamoDB) • GCP (Cloud Functions, Firestore, App Engine) 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 & 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀: REST APIs, WebSockets, Model Context Protocol (MCP) 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? • Proven track record building reliable, secure, and efficient systems • Deep experience with cloud-native services and multi-tenant SaaS platforms • Strong understanding of Model Context Protocol (MCP) for context-aware applications and scalable microservices • Clean, maintainable code and clear communication throughout every stage I’m passionate about solving real-world problems through tech and delivering results that truly make a difference. Let’s collaborate and bring your idea to life!

AI Agent Architect | Claude Code | AWS Bedrock | LangGraph | n8n | RAG | Full Stack AI Systems I build production-grade AI systems, autonomous agents, and enterprise SaaS platforms that integrate deeply with real business operations. Over the last 11+ years, I've worked as a Software Engineer, Team Lead, CTO, and AI Architect, helping startups and enterprises design, build, deploy, and scale cloud-native products across AI, FinTech, Analytics, Media, eCommerce, and Enterprise SaaS. My focus today is building AI-native systems that move beyond simple chatbot experiences and become reliable business operators capable of reasoning, planning, executing tasks, and integrating with enterprise workflows. ━━━━━━━━━━━━━━━━━━━━━━ AI Agents & Agentic Systems I design and build production-ready AI agents capable of: • Autonomous decision making • Multi-step reasoning and execution • Tool calling and API orchestration • Multi-agent collaboration • Planner → Supervisor → Worker architectures • Long-term memory and contextual learning • Human-in-the-loop workflows • Event-driven automation systems • Enterprise knowledge retrieval • Agent evaluation and reliability testing Technologies: • Claude API (Anthropic) • OpenAI GPT-4o / Realtime API • AWS Bedrock • LangGraph • LangChain • MCP (Model Context Protocol) • CrewAI • Vector Databases • Knowledge Graphs Recent implementations include: • Financial Intelligence Agents • Company Research Agents • B2B Outreach Agents • AI Website Builders • AI Content Generation Systems • Customer Support Agents • Voice AI Agents • Enterprise Document Intelligence Platforms ━━━━━━━━━━━━━━━━━━━━━━ Retrieval-Augmented Generation (RAG) I build enterprise-grade RAG architectures designed for accuracy, traceability, and scalability. Capabilities: • Enterprise document ingestion pipelines • PDF, DOCX, HTML, Database ingestion • Chunking and embedding optimization • Hybrid retrieval architectures • Metadata filtering • Re-ranking pipelines • Knowledge graph integration • Hallucination reduction • Citation and provenance systems • Multi-tenant knowledge bases Vector Technologies: • Pinecone • OpenSearch • ElasticSearch • pgvector • Weaviate • FAISS • Supabase Vector Recent projects include enterprise document intelligence platforms and governed reasoning systems for business-critical workflows. ━━━━━━━━━━━━━━━━━━━━━━ n8n & Workflow Automation I build advanced automation systems using n8n that combine deterministic workflows with LLM reasoning. Capabilities: • AI-powered workflow orchestration • Agent-driven automation pipelines • Human approval workflows • Event-driven architecture • Queue-based processing • Retry-safe workflows • Background job processing • Cross-platform integrations • Multi-step decision engines Integrations: • Slack • Google Workspace • Microsoft 365 • HubSpot • Salesforce • Stripe • Twilio • Airtable • Notion • Internal APIs ━━━━━━━━━━━━━━━━━━━━━━ Voice AI & Conversational Systems Design and implementation of production-ready voice agents using: • Twilio Voice • OpenAI Realtime API • Claude-powered reasoning • AWS Transcribe • Whisper • ElevenLabs • Stateful conversation engines • Automated call summaries • CRM integrations Use Cases: • Appointment Booking • Lead Qualification • Customer Support • Sales Outreach • Reservation Systems • Internal Operations ━━━━━━━━━━━━━━━━━━━━━━ AWS Cloud & AI Infrastructure Strong background designing cloud-native AI platforms on AWS. Core Services: • AWS Bedrock • Lambda • ECS • EC2 • API Gateway • SQS • SNS • EventBridge • DynamoDB • Aurora • PostgreSQL • S3 • CloudFront • CloudWatch • Step Functions Infrastructure: • Terraform • CloudFormation • Docker • Kubernetes • CI/CD Pipelines • Multi-Tenant SaaS Architectures ━━━━━━━━━━━━━━━━━━━━━━ Full Stack AI Product Development Frontend: • React • Next.js • TypeScript Backend: • Node.js • Express • NestJS • Python • FastAPI Databases: • PostgreSQL • MySQL • MongoDB • DynamoDB • Redis ━━━━━━━━━━━━━━━━━━━━━━ Industries Served • FinTech • Enterprise SaaS • LegalTech • Healthcare • Media & Broadcasting • Crypto & Blockchain • Analytics Platforms • Marketing Automation • Cloud Infrastructure ━━━━━━━━━━━━━━━━━━━━━━ What Clients Typically Hire Me For ✓ Multi-Agent Systems ✓ Claude & AWS Bedrock Development ✓ Enterprise RAG Platforms ✓ n8n AI Automation ✓ AI SaaS Products ✓ Voice AI Agents ✓ Workflow Orchestration ✓ AI Architecture Reviews ✓ AWS Cloud Architecture ✓ Production Launches & Scaling If you're building an AI product and need someone who understands both agentic AI and production-grade software architecture, I can help design, build, deploy, and scale the entire system. ✓ Claude Code & OpenAI GPT-4o ✓ Multi-Agent Systems ✓ LangGraph & RAG Pipelines ✓ n8n & Workflow Automation ✓ Voice AI (Twilio, ElevenLabs) ✓ Node.js, React & AWS Bedrock ✓ Stripe, SaaS & Enterprise Integrations ✓ AI Agents for Finance, Legal, Healthcare & Op

🧑‍💻 Worked with Google and NVIDIA developers on AI projects ⭐ Top Rated AI Engineer 🔁 6+ years of AI experience 🥈 MS Data Science (Silver Medalist) 🛠️ Research depth + real-world delivery 🤝 Clear communication, clean code, long-term collaborative mindset 🔹 Open Source Credibility Worked with Google and NVIDIA developers on advanced AI model implementations. Experienced in building high-quality, production-level code aligned with industry engineering standards. 🔹 Solving Your GenAI Challenges Most AI projects stall between a proof-of-concept and production. If you are stuck on any of these roadblocks, I can help: → Hallucinations: "Our chatbot gives unreliable or fabricated answers." → Unpredictable Workflows: "The AI agent cannot follow business logic consistently." → Poor Context: "Our RAG retrieval quality is missing the right data." → High Latency: "Voice assistants feel laggy, slow, and unnatural." → Scaling Issues: "The system works locally but breaks under production loads." → Cost Explosions: "LLM API costs and latency are becoming unsustainable." 🔹 AI Solutions I Build → AI Agents & Workflow Automation: LangChain/LangGraph agents for task execution, routing, and business workflows. → RAG & Knowledge Assistants: Retrieval systems with embeddings and vector databases for accurate domain-specific answers. → Voice AI Systems: Real-time STT/TTS pipelines with streaming for natural voice interactions. → Fine-Tuned LLMs: Custom models trained for domain-specific reasoning, classification, and generation tasks. → Computer Vision Applications: Real-time object detection, tracking, segmentation, and counting systems using video analytics. 📈 Real-World Impact → Built an AI grading system processing 150K+ evaluations daily → Reduced 40% customer support workload using AI-powered RAG chatbots → Developed healthcare AI assistants using LangGraph agents and medical FHIR R4 data → Improved RAG retrieval quality using multi-query optimization → Reduced latency in voice systems using streaming pipelines → Increased inference throughput by up to 2.2x using TensorRT and Triton → Contributed to Google KerasCV, KerasIO, and NVIDIA repositories 🌍 Industries I’ve Served: 🏥 Healthcare | 📚 Education | 💬 Customer Support | 📈 Marketing | 💰 FinTech 🛠️ Tech Stack → LLMs: OpenAI, Claude, Gemini, Hugging Face → AI Frameworks: LangChain, LangGraph, RAG, Rasa → Voice AI: Whisper, STT/TTS, Real-time Streaming → Vector DBs: Pinecone, Chroma → ML/CV: TensorFlow, PyTorch, Keras, OpenCV → Deployment: FastAPI, Docker, AWS (Lambda, EC2), GCP, Triton, TensorRT I'm available for short and long-term projects, with a focus on building AI systems that are reliable, scalable, and production-ready. If you’re building an AI product and need someone who understands both research and production engineering, let’s discuss your project.

AI Automation Architect , GoHighLevel & n8n Specialist , Real Estate & Home Services "Speed to lead is the only metric that matters in 2025. If you are not responding to a new inquiry within 60 seconds, you are leaving 80% of your revenue on the table. I build the systems that make sure you never miss another lead again." Hi, I am Manam. I am based in Cambridge, Ontario, Canada, operating in the EST time zone. Because I am local to North America, I am reachable almost any time for real,time collaboration, strategy calls, or emergency troubleshooting. I am a Senior Automation Architect who believes that technology should be "production,ready," meaning it is documented, reliable, and built to scale, not just a collection of fragile "cool ideas." With a professional background as a social media expert and a responsibility for reviewing Google My Business profiles, I bring a unique "human first" perspective to AI. Most developers build robotic systems that feel cold. I build welcoming, positive, and empathetic AI workflows that treat your customers with the same care a top,tier receptionist would. WHY WORK WITH ME? I specialize in the "high,tech" side of GoHighLevel and n8n. I don't just set up templates, I architect custom engines that solve specific business bottlenecks. When you hire me, you are getting: Local Expertise: Based in Ontario, Canada. No time zone gaps. No communication barriers. Documentation First: Every system I build includes Loom video walkthroughs and visual logic maps. You will actually understand and own your system. Proven Success: I have successfully deployed identical systems for HVAC companies, Real Estate teams, and car dealerships, helping them achieve 100+ closed transactions by automating the "boring" stuff. Top Rated Reliability: My 100% Job Success Score is a reflection of my commitment to hitting strict deadlines (usually 7,14 days) and delivering exactly what I promise. TECHNICAL STACK & SPECIALIZATIONS # GoHighLevel (GHL) Mastery I handle the deep architecture of GHL. This includes missed,call text,back systems, complex multi,stage pipelines, and custom snapshot creation for agencies. I specialize in lead activation and appointment,booking agents that live inside your CRM, ensuring every lead is qualified before it reaches your team. # n8n & Make.com Orchestration When GHL cannot do it alone, I use n8n or Make to bridge the gap. I connect Follow Up Boss, Ylopo, Zillow, and PPC lead sources to your AI agents. I am an expert in API and Webhook architecture, handling JSON authentication, error handling, and data mapping between disparate systems. # AI Voice & Conversational SMS I integrate VAPI, Retell AI, and OpenAI to create voice agents that sound human. These agents handle inbound calls, answer FAQs, and book appointments directly into your calendar. My SMS workflows use "reply/no,reply" logic and hot,lead detection to escalate urgent opportunities to your team via Slack or SMS. # Real Estate & Home Services Expertise I understand the lead lifecycle for Realtors and HVAC/Plumbing owners. I have built "Lead Strike Engines" that monitor 14,000+ lead databases for behavioral triggers, like a lead clicking a home valuation link. My systems respond instantly while maintaining full TCPA compliance, quiet hours, and opt,out handling. MY 5,STEP "PRODUCTION,READY" PROCESS The Audit: We identify where you are losing leads. Is it missed calls? Stale database leads? Slow response times? The Logic Map: I design a visual flowchart of the automation. You approve the logic before I build it. The Build: I develop the workflow in a test environment to ensure zero interruption to your live operations. The Stress Test: I run every edge case. What if they don't reply? What if it's 2:00 AM? What if the lead is a duplicate? Documentation & Handoff: I provide a full training package so your team knows exactly how to monitor and use the new system. I am not just a freelancer, I am your technical partner. My goal is to help you scale your business without increasing your overhead. Whether you need a simple FAQ chatbot or a complex multi,agent AI acquisition system, I have the experience to deliver it. Ready to see a demo? I have recorded video walkthroughs of my previous HVAC lead engines and Real Estate strike systems. I would love to share them with you. Can we schedule a brief call this week to discuss your 2026 growth goals? I am in Cambridge, Ontario, and I am ready to start. Best regards, Manam Pervez

Overview: You have an AI product idea — or an existing product that needs AI built into its core. You need someone who won't just write code, but make the hard architectural decisions that determine whether your product scales or breaks at 10,000 users. That's what I do. I've shipped 5 AI-native products in the last 2 years, each running in production with real users today. Not prototypes. Not demos. Production systems handling real data, real money, and real compliance requirements. Recent results: → Built an AI conversation intelligence platform that analyzes calls across 19 dimensions in real-time — now processing hundreds of conversations daily for a US-based SaaS company → Delivered an AI medical education platform with 11 LLM-powered endpoints, integrating clinical evidence from randomized controlled trials — used by healthcare professionals for continuing education → Shipped an AI learning platform with 9 specialized AI pipelines — 500+ study hours saved for users within months of launch → Architected an AI-powered industrial support system with vector search and multi-tenant isolation — deployed across operator, technician, and admin roles for a European client What makes me different from other AI developers: Most developers bolt AI onto existing products as a feature. I architect systems where AI is a core capability — from database schema to user experience. Every project I deliver includes production infrastructure (CI/CD, monitoring, error tracking), not just application code. I also run a team at Growth Loops Technology, which means I can scale up when your project needs it — without you managing multiple freelancers. I'm the right fit if you need: → An AI-native product built end-to-end (backend, AI pipelines, deployment) → LLM integration done properly (structured output, RAG, multi-stage pipelines) → A senior architect who can own technical decisions and communicate clearly → Someone who ships on schedule and writes code that holds up in production Technical depth (for the engineers reading this): Backend: NestJS, Node.js, TypeScript, Python, FastAPI, Django AI/ML: GPT-4o, Claude, LangChain, LangSmith, Whisper, AssemblyAI Data: PostgreSQL, Redis, BullMQ, Pinecone, OpenSearch, Meilisearch Infra: Docker, GitHub Actions, AWS, Cloudflare R2, Sentry 15+ years of software engineering. Every project delivered with authentication, async job processing, multi-tier caching, and production monitoring baked in from day one.