I build AI-powered MVPs and automation systems that take founders from idea → launch → first revenue. Delivered AI solutions generating $1.2M+ in additional revenue and 40% cost reduction for enterprise clients across healthcare, finance, and e-commerce. 🌟 100% Job Success | Top-Rated | $100K+ earned | 60+ projects 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: AI & ML: OpenAI (GPT-4), Claude, Gemini, LangChain, RAG, LLAMA, Pinecone, Weaviate Voice & Conversational AI: Vapi, Retell AI, Whisper, ElevenLabs Automation & Workflows: n8n, Make, Zapier, GoHighLevel, custom pipelines Frontend & Mobile: React.js, Next.js, React Native, Tailwind CSS, TypeScript Backend & APIs: Node.js, Express, Python (FastAPI), GraphQL, .NET MVC Databases: PostgreSQL, MongoDB, Prisma Cloud & Hosting: AWS (Lambda, S3), Firebase, Vercel Integrations: Stripe, Twilio, Shopify, Salesforce, TikTok, Walmart, QuickBooks 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝: AI MVPs & Automation 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: 🎙️Voice Agents: Customer support, sales, engagement; multi-prompt logic, contextual awareness 📚RAG & Knowledge Engines: Internal tools, FAQ bots, AI coaching frameworks (10M+ interaction) ⚙️Automation Pipelines: n8n / Make workflows, logistics dispatch, route optimization 📈Scalable MVP Systems: 1,000+ concurrent calls, sub-800ms latency, multilingual support 𝐑𝐚𝐩𝐢𝐝 𝐒𝐚𝐚𝐒 & 𝐌𝐚𝐫𝐤𝐞𝐭𝐩𝐥𝐚𝐜𝐞 𝐀𝐈: 📊Multi-Channel Dashboards: Amazon, Shopify, eBay, TikTok, one place to manage everything ⚡AI-Powered Optimization: Pricing engines, personalization, anomaly detection 💼Workflow & Financial Automation: Accounting, reconciliation, conditional pipelines 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 & 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 𝐌𝐕𝐏𝐬: 🛡️HIPAA/SOC2 compliant Telehealth, diagnostic assistants, CBT frameworks 🏥Multi-tenant clinical systems, secure provider collaboration 𝐅𝐢𝐧𝐚𝐧𝐜𝐞 & 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 𝐌𝐕𝐏𝐬 💰Trading platforms, MT5 integration, payment verification 🎨AI-generated content, interactive avatars, voice/video synthesis 💬Real-time messaging platforms handling 100K+ concurrent users 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲: 30-40 hours/week with under 24hrs response to all communications. If you’re a founder looking to validate, launch, or scale an AI MVP without burning months or budget, let’s talk.

Need to further optimize your LLM/GPT/RAG application performance with the support of a top LLM expert, or start from scratch? 6+ Years, AWS and Microsoft Azure Certified AI/ML Specialist, I am focused on building Advanced AI applications around Large Language models (GPT, Claude, Llama, Gemini, Azure OpenAI, etc.), and have compiled some of the most cutting-edge features in AI, RAG, and NLP to cater to specific domains and complex applications. My process to future-proof your business involves, 1. Setting up your data in the best possible format. 2. Optimizing your AI infrastructure for a more deterministic (yet creative) flow in the probabilistic domain of AI. 3. Developing a scalable architecture that anticipates growth. 4. Delivering cost-effective solutions and long-term support. 5. Prioritizing Data Security and Compliance at each increment. As a contributor to Langchain, LlamaIndex, LangGraph, n8n, and other supporting frameworks, I've significantly engaged with the open-source LLM/RAG library space and continually participate in the LLM/AI community. My Expertise lies in custom AI Agents, Chatbots, Voice AI Agents, and Workflow Automations to make your business/product 10x more efficient. 🎓 Advanced proficiency in the following domains, ✦ Model Deployment ✦ Model Fine-tuning ✦ Knowledge Extraction ✦ Structured Data Query (Connect your database with LLMs) ✦ AI Voice/Speech Agents ✦ MCP & A2A (Connect your APIs and AI Agents) ✦ GraphRAG ✦ RAG Enhancement ✦ Prompt Engineering ✦ Long-term Memory and Continual Learning (For an LLM/AI, context is gold) ✦ LLM Performance Analysis (Evaluation, Governance, and Monitoring) 🔧 𝗖𝗼𝗿𝗲 𝗖𝗼𝗺𝗽𝗲𝘁𝗲𝗻𝗰𝗶𝗲𝘀 ● AWSxAzure Administrator & Solutions Architect - Prioritizing security and compliance, we have built many Azure-only AI Solutions for medium to large-scale enterprises. ● ChatGPT/OpenAI-Based RAG Applications ● LLMOps (Architecture/Development): - Langchain, LlamaIndex, Haystack, AdalFlow, GraphRAG, LangGraph - Cohere, Ollama, Anyscale, Groq, Deepspeed, SentenceTransformer, PyTorch - Any vector database (Pinecone, ChromaDB, Milvus, Qdrant, Weaviate, Azure Search) - AWS SageMaker, Amazon Bedrock, Amazon Q, Azure OpenAI & AI Studio, - Training & Fine-tuning: DPO, RLHF, PPO, PEFT (LoRA, QLoRA) ● Text-to-speech and Speech-to-text: OpenAI Whisper, Google TTS, ElevenLabs, Murf AI, Deepgram, Amazon Polly, Azure TTS ● Python Backend (Flask, Django, FastAPI, Streamlit, Dash, PyQT & Tkinter for GUI) ● Secondary Languages: C#, JavaScript/Typescript, Rust. ● Datastores: MongoDB, PostgreSQL, Redis, DynamoDB, Elasticsearch, Azure CosmosDB ● Linux Server Administration (Amazon-Linux, Debian-based, RHEL), ● Web Servers: Apache2, Nginx ● Containerization and Orchestration: Docker, Docker Swarm, ECS, Kubernetes (Across major Cloud Vendors) ● AWS Serverless: API Gateway, Lambda, SNS, CloudWatch, CloudFront, S3, DynamoDB ● IaC: Cloudformation, Terraform, Ansible ● CI/CD: Jenkins, GitHub Actions, AWS CodeDeploy/CodeBuild, GitLab. ● CRM Integrations: Zendesk, GoHighLevel, HubSpot, Bitrix24. ● Integration and Automation: n8n, Make.com, Zapier, etc. ● Real-Time Data and API Integration 💼 Some mainstream industries and business domains that I have worked with, ✦ CRMs ✦ Healthcare ✦ Operations ✦ Education, Edtech ✦ Legal (Regulation, Compliance, Consultancy) ✦ Real Estate ✦ Retail & E-commerce ✦ Travelling and Hospitality If you are trying to build an MVP for an AI Project, my guide to you would be, "The best way to start is just by building on top of... whatever the best model is... Don’t worry about [cost or latency] at first. You’re just trying to validate the idea." Today, generating and structuring great ideas is easier than ever. What truly sets teams apart now is execution. I’ve developed a robust framework with my experience that enables rapid design and development of AI-first applications, turning ideas into impact with speed and precision. Let's transform customer experience, unlock data intelligence, and solve complex business problems together. Book my consultation if you're new to the concept and want to save several hours searching for the right direction.

Once an Astrophysics Researcher, now a 3× AI Founder. I turned curiosity about the universe into AI systems that drive measurable business outcomes. I’m Vivekjyoti Bhowmik, Founder of TOINGG an AI Communication OS and PGAGI, an AI consultancy building production-grade AI systems for businesses across the US, UK, GCC, UAE, Australia, and India. Over the last few years, my team and I have built 80+ AI systems across industries. - Real production systems with users, revenue, workflows, and business impact. We specialize in building AI systems that are: → Enterprise-grade → Multi-tenant → Scalable → Secure → Integrated into real business operations → Built for ROI, not experimentation One of the platforms we helped build, Branify, crossed 50,000+ live users within one month of launch in 2026 may. Across our portfolio, more than 70% of the products we’ve built are live, used by real customers, and have paying users. Today, we don’t just “build AI.” We implement AI into business workflows to generate ROI within 90 days. What We Actually Do We design and deploy AI systems that replace manual work, increase conversion, and reduce operational load. → Turn inbound leads into qualified meetings automatically → Replace repetitive operations with AI-driven workflows → Build AI systems on top of your existing stack — CRM, WhatsApp, ERP, databases, spreadsheets, and internal tools → Create decision systems that improve revenue, not just dashboards → Build scalable AI products with multi-tenant architecture, role-based access, usage tracking, and production monitoring Real Business Impact ✅ AI Communication System — TOINGG handles high-volume AI calling workflows with scalable infrastructure and 99.9% uptime focus ✅ Branify — 50,000+ live users within one month of launch ✅ Outreach System — 200 cold messages converted into 8 qualified meetings and $7million sales in pipeline ✅ Global Clients — US, UK, UAE, GCC, Australia, and India ✅ 70%+ of products built are live with real users and paying customers Revenue & Sales Systems We build AI systems that help businesses convert more leads without increasing manual workload. Examples: → Lead comes in → AI qualifies the lead → Tags them as HOT / WARM / COLD → Books a call → Updates CRM → Hands off to the sales team only when needed This helps your team focus on high-value conversations instead of repetitive follow-ups, lead sorting, and data entry. Operational Automation We automate internal workflows that usually consume hours of manual work. Examples: → PDFs, Excel files, emails, and forms processed automatically → Data cleaned, structured, and pushed into CRM / ERP / Google Sheets → Missing data, delays, or incorrect entries detected in real time → Alerts and tasks triggered automatically → Humans involved only for approvals, exceptions, and critical decisions Data → Decisions We build AI systems that execute and make desicions. They trigger action. → Forecasting → Automated reporting → Business intelligence with execution layer → Decision support systems → AI dashboards connected to workflows Custom AI Products For founders, startups, and growing businesses, we build complete AI products from scratch. This includes: → Multi-agent architectures system → Multi- model RAG pipelines (scalable) → Enterprise-grade SaaS platforms → Multi-tenant backend systems → AI workflow automation → Role-based dashboards → Voice AI and communication systems → Scalable APIs and infrastructure We Are a Fit If ✔ Your business is doing minimum $1million in ARR ✔ You already have operations running — 20 people team, leads, data, customers, or workflows ✔ You want to implement AI into real business processes ✔ You need scalable, production-grade systems ✔ You care about outcomes, speed, and execution Not a Fit If ✖ You are exploring AI just to try it ✖ Price matters more than business outcome ✖ There is no clear use case or objective ✖ You are not ready to execute fast Why Founders Work With Us → We think like partners, not developers → We focus on outcomes first, AI second → We build systems that integrate into your business, not sit outside it → We understand product, architecture, AI, and business ROI together → We have experience building systems used by millions of real users If you are looking to increase revenue, reduce manual work, or scale operations using AI, message me. We’ll map your workflow, identify the ROI opportunity, and show you exactly what should be built.

I build production AI backends and AI Agent systems. I’ve deployed custom AI Agents pipelines on serverless/GPU infra that cut costs by up to $100K+/month and deliver sub-200ms streaming with full observability. Full overview: I help SaaS teams ship AI features fast—RAG on private GPUs, function-calling agents, payments/webhooks, and monitoring. FastAPI services with Celery/Redis, PostgreSQL RAG on LLamaCPP/LlamaIndex behind secure tunnels Cost/latency optimization (batching, caching, streaming) Serverless LLM & diffusion deployments CI/CD, Docker, AWS/GCP, metrics with Prometheus/Grafana Recent highlights: Serverless diffusion + LLM pipelines → $500–$5,000/mo infra savings Voice/phone agents (STT→LLM→TTS) with function-calls for booking Private RAG APIs on client GPUs with access control & dashboards How I work: You share goal + deadline → I return a day-by-day plan, success metrics, and a fixed price. I prioritize reliability, speed, and clean handoffs. Core stack & keywords: FastAPI, Python, Golang, Celery, Redis, PostgreSQL, Prometheus, Grafana, RAG, LlamaCPP, LlamaIndex, OpenAI API, GGUF, Qdrant/Chroma, Cloudflare Tunnels, Docker, AWS/GCP, Playwright, Stripe/Twilio/Plivo, TTS/STT, agentic workflows.

🔹 Top Rated Plus | 100% Job Success | 75+ Projects Delivered 🔹 AI Automation · LLM Development · OpenAI · Claude · RAG Systems · AI Agents 🔹 Production systems handling 1M+ API calls | Fintech · HealthTech · B2B SaaS 🔹 Founding Engineer at YC-backed Startup | 7+ Years Building AI & Backend Systems ━━━━━━━━━━━━━━━━━━━━━━━━━ Seven years ago I started as a backend engineer. Over time, I noticed a recurring problem across industries like healthcare, fintech, and B2B SaaS, administrative bottlenecks, fragmented data in multiple databases, and workflows that required constant human intervention, causing slow decision-making. Today, as an AI Solutions Architect, I solve these problems by designing and building systems that automate complex operations, unify data silos, and enable intelligent, real-time decision-making. I specialize in developing AI-powered platforms for B2B SaaS, HealthTech, and financial automation using Python, LLMs, RAG pipelines, and AI agents. I’ve implemented these solutions as a founding engineer and core technical lead at a YC-backed company, designing architectures that handle millions of API calls daily, support real-time analytics, and survive high traffic, strict compliance, and tight deadlines in production environments across multiple sectors. ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 ━━━━━━━━━━━━━━━━━━━━━━━━━ ➢ AI Workflow Automation for B2B SaaS As an AI Solutions Architect, I design LLM-powered pipelines that eliminate manual operations - including document processing, CRM enrichment, lead qualification, automated reporting, and multi-step agent workflows running without human oversight. ➢ RAG Systems & Intelligent Search Retrieval-Augmented Generation pipelines for SaaS products - document Q&A, internal knowledge bases, semantic search, and context-aware responses grounded in your private data. Built on Pinecone, FAISS, Weaviate, pgvector, or Chroma. ➢ LLM Integration & AI Agent Systems GPT-4o, Claude, Mistral, and open-source LLMs connected to your existing stack through LangChain, LangGraph, and multi-agent architectures with tool-calling and memory management. ➢ AI SaaS Backend Architecture Scalable Python backends with authentication, billing, REST APIs, async workers, and AI feature layers - designed by an AI Solutions Architect to take you from MVP to Series A without requiring a full rewrite. ➢ Agentic Automation Pipelines End-to-end ETL, data enrichment, and background workers that connect your AI systems to CRMs, ERPs, and third-party APIs - Celery, Redis, webhooks, and event-driven architectures. ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗛𝗔𝗧 𝗠𝗔𝗞𝗘𝗦 𝗧𝗛𝗜𝗦 𝗪𝗢𝗥𝗞 ━━━━━━━━━━━━━━━━━━━━━━━━━ Most AI integrations fail at the architecture stage - the LLM works in isolation but breaks when connected to real data, real users, and real edge cases. Having operated as a founding and core engineer, I’ve been the person responsible for fixing those failures. Now, as an AI Solutions Architect, I design systems with failure modes in mind from the start: fallback handling, cost controls, latency budgets, and built-in observability. ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗖𝗟𝗜𝗘𝗡𝗧 𝗙𝗘𝗘𝗗𝗕𝗔𝗖𝗞 ━━━━━━━━━━━━━━━━━━━━━━━━━ ⭐⭐⭐⭐⭐ "Having worked with many talented professionals in my Silicon Valley career, I can confidently say Hammad and his team are among the best." ⭐⭐⭐⭐⭐ "Hammad transformed my app beyond my expectations - fantastic work, extremely responsive, and proactive." ⭐⭐⭐⭐⭐ "A true professional with critical thinking and dedication. Hammad builds partnerships, not just transactions." ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 ━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 LLM & Agents: OpenAI · GPT-4o · Claude · Mistral · LangChain · LangGraph · CrewAI · Tool Calling · Prompt Engineering · Fine-tuning · Embedding Models · Model Evaluation 🗂 RAG & Vector: Pinecone · FAISS · Weaviate · pgvector · Chroma · Semantic Search · Document Intelligence · Hybrid Search 🐍 Backend: Python · Django · FastAPI · Flask · PostgreSQL · Redis · Celery · WebSockets · REST APIs ⚙ Infrastructure: AWS · GCP · Docker · CI/CD · Nginx · DigitalOcean · Hetzner · Cloudflare · Godaddy DNS etc ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗕𝗘𝗦𝗧 𝗙𝗜𝗧 𝗙𝗢𝗥 ━━━━━━━━━━━━━━━━━━━━━━━━━ ✔ B2B SaaS companies adding AI automation to a core product or workflow ✔ Seed or Series A teams that need senior AI backend engineering ✔ Founders who need an AI-native architecture from day one ✔ Engineering teams integrating LLMs or RAG into an existing Python stack ✔ Products that need AI to handle real load, not just pass a demo Not the right fit for projects involving gambling, adult content, or that require rigid hourly time-tracking. 𝗦𝗲𝗻𝗱 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗼𝗿 𝗶𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 𝘄𝗶𝘁𝗵 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 𝗮𝗯𝗼𝘂𝘁 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁. I'll tell you honestly whether it's a good fit and what the right architecture looks like before any contract starts.

𝐒𝐞𝐧𝐢𝐨𝐫 𝐀𝐈, 𝐒𝐚𝐚𝐒 & 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 | 𝐋𝐋𝐌, 𝐑𝐀𝐆, 𝐈𝐨𝐓, 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 | 𝟖+ 𝐘𝐞𝐚𝐫𝐬 I help founders and startups build production-ready AI, SaaS, IoT and cloud products that are scalable, secure and commercially practical. 𝐖𝐢𝐭𝐡 𝟖+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞, 𝐈 𝐰𝐨𝐫𝐤 𝐚𝐜𝐫𝐨𝐬𝐬 𝐋𝐋𝐌 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, 𝐑𝐀𝐆 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐀𝐈 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, 𝐒𝐚𝐚𝐒 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬, 𝐈𝐨𝐓 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬, 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐚𝐧𝐝 𝐟𝐮𝐥𝐥-𝐬𝐭𝐚𝐜𝐤 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭. 𝐌𝐲 𝐟𝐨𝐜𝐮𝐬 𝐢𝐬 𝐧𝐨𝐭 𝐨𝐧𝐥𝐲 𝐭𝐨 𝐬𝐡𝐢𝐩 𝐟𝐚𝐬𝐭, 𝐛𝐮𝐭 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐜𝐚𝐧 𝐬𝐜𝐚𝐥𝐞 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐜𝐨𝐬𝐭𝐥𝐲 𝐫𝐞𝐰𝐨𝐫𝐤 𝐥𝐚𝐭𝐞𝐫. 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝 --------------------------------------------- 1. AI products using OpenAI, Claude, RAG, prompt workflows and automation 2. SaaS platforms, dashboards, APIs and multi-tenant systems 3. AI automation with n8n, Make, internal tools and workflow systems 4. IoT and connected device platforms with telemetry, dashboards and monitoring 5. Web and mobile products using Python, Node.js, React, Next.js, TypeScript, Wordpress Custom Development 𝐌𝐲 𝐰𝐨𝐫𝐤 𝐰𝐡𝐢𝐜𝐡 𝐜𝐫𝐞𝐚𝐭𝐞𝐝 𝐚𝐧 𝐈𝐦𝐩𝐚𝐜𝐭 ---------------------------------------------------------- 1. Biosensor – built connected health monitoring workflows, improving data reliability by 35% 2. Topmate – improved product workflows and platform scalability for growth 3. Bolna.ai – built AI conversational workflows and backend automation 4. Conviva.ai – Developed AI workflow architecture and production readiness 5. Brex - Finance platform an automated reconciliation and audit-friendly finance workflows 𝐂𝐨𝐫𝐞 𝐬𝐤𝐢𝐥𝐥𝐬 ------------------------------------------ Python, Node.js, TypeScript, React, Next.js, FastAPI, Spring Boot, AWS, Azure, Docker, Kubernetes, LLM, RAG, Claude AI, OpenAI, n8n, AI Automation, SaaS Architecture, IoT, Healthcare Product Development, Wordpress, Php, IoT, Firmware Development, C++, C+ If you need someone who can combine architecture thinking with hands-on delivery, I’d be happy to help. 𝐃𝐢𝐯𝐚𝐤𝐚𝐫 𝐒𝐢𝐧𝐠𝐡 8+ 𝘆𝗲𝗮𝗿𝘀 E𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲

What I can do for you that others not provide? I will build a complete AI solution for your organization. Im not just a developer , but a solution expert building scalable AI solutions for you. I can help you build an entire Call flow for your reception, order delivery or customer service with tools of your choice The Road map to development and AI is changing everywhere, whether it is Claude code or cursor, one individual can do the work of a month with AI in 3 days. What I have for you is? I bring you entire architecture and end to end solution, after we have a vibe coded POC and you want it full scale with automating your business operations Your business operations can be 30% less costly , cause AI works 24/7, 7 days a week Retell , Vapi , Plivo VOICE TELEPHONY AI STACK voice + telephony: HTTP API/service, PostgreSQL,  Asterisk ARI bridge with WebSocket/HTTP AI model: Groq or OpenAI via env Speech stack: STT can using Deepgram and TTS can run with MS Edge Frontend/auth: Node.js + PostgreSQL, AdminLTE, Bootstrap, TypeScript, and Astro in React routes/pages Database stack: PostgreSQL I can help.you build AI agents with langgraph, semantic relationship vector databases, context analysis, AI integrations with n8n or pipe dream. What I do first is study your business and identify how can we best implement AI solution in your business to drive more growth and user retention Besides I can help you in user experience and guides you with User interface in AI development Need a chatbot for your customers or in house employees that can answer their queries from your knowledge base ( pdf, documents, sheets etc) , integrated with onto your web app or slack, google chat or whatsapp. We are here for you Helping you to build AI agents that can help you as a subsitute to your work with LLMs AI chatbots, LLM apps development (API GPT 3.5/4, Meta LLama, Anthropic Claude 2, LangChain, RAG, vector database Pinecone & others, NVIDIA NeMo Guardrails), model fine-tuning Finetune LLM models and host on your server An enthusiastic data scientist and a vivid programming. A great communicator with really good analytical and programming skills. My skillset involves python modules like numpy,pandas,matplotlib,scikitlearn,keras and pytorch. My focus of data analysis is on artificial intelligence and I do also know statistics as well. I can data engineer your data, extract and clean it to deploy a model. I can help you in making a detailed report. I have also experience in working on chat gpt prompt engineering in optimizing the chatbot for a certain niche. Helping you to build AI agents that can help you as a subsitute to your work with LLMs Customer satisfaction is my TOP MOST PRIORITY Many engineers can write python code or build apps, My focus is to understand your business goals, consider the technical problems, and propose the best possible solution to the proper outcomes. High volume data engineering with images and audio data, expert in delivering low latency and faster performance with optimization Python tools: Tensorflow Keras Nvidia Inference AWS sagemaker Azure Notebook Hugging Face TensorRT CUDA/cu11 Cloud engineering: AWS EC2 with GPU inference NVIDIA Jetson Inference Azure machine learning studio Cluster Management Infra Optimization Edge computing for robotics Large Language Models: Chatgpt-4.0o Gemini Claude 3.5 sonnet Meta-llama3 Mistral 7b Opensips AI connector with real time voice solution Twilio AI connector with voip Data Engineering: ETL based High volume Real Time & Batch application processing Eclipse/IntelliJ, Maven, Jenkins, GIT, JIRA, Control M AWS, Redshift and Snowflake RDBMS (Oracle, Mysql) and NoSql (Cassandra) Frontend tools React js Tailwind Mongo DB, postgresql, firebase Industries: -Healthcare -Government -Research and Education -Fitness and mental wellness -Edtech

I automate operations for founders. Custom dashboards, AI voice agents, and automations built into your business and existing tools, designed around how your team actually works and shipped fast. 𝗥𝗲𝗰𝗲𝗻𝘁 𝘄𝗼𝗿𝗸: → Built inbound and outbound AI voice agents that handle calls, qualify leads, and book appointments without a human touching the phone. Live and running for real operations. → Built custom AI assistants and chatbots connected directly to databases, pulling live data to answer questions and return dynamic, real-time results instead of canned responses. → Built full GoHighLevel automation from lead intake to closure, powered by an AI SMS SDR that replies instantly, follows up on its own, and flags leads for human review when they need a real person. The system sorts hot and cold leads automatically and delivers daily insights across the whole pipeline. Running across healthcare, real estate, HVAC, and law firm operations. → Analytics system tracking $2.4M in revenue in a single month for a high-ticket sales operation; $4.6M all-time. Leadership watched $1.4M close in one week from a single screen; rep performance, pipeline stages, conversion rates, all live. → Upgraded a real-estate operation from manual Excel sheets to a custom dashboard powering automations across their pipeline without manual work. Claude plugged into the same data, answering business questions, flagging bottlenecks, and surfacing daily reporting improvements. → Worked with SaaS product owners building their MVPs from prototype to production, then scaling them. Multi-client Stripe billing for clean onboarding, RAG systems making AI features actually deliver, and the production engineering to ship something real. → A founder running a live AI product had watched his in-house dev team struggle for three months to get the AI behaving the way he wanted. Came in, worked the problem from first principles, got it shipping the experience he envisioned. Live with real users. I also help founders figure out what to build and where things break, and consult on their more novel problems: new AI use cases, LLM behaviour, agent architecture, voice agent design, making your vision come to life. Claude Code is my daily infrastructure. Multiple businesses run their day-to-day on what I've built; ops, SaaS, LLM products, voice agents, all in production. If you've got something to build or fix, let's talk. KEYWORDS: Claude Code, Anthropic SDK, OpenAI, Gemini, Python, Node.js, React, Next.js, TypeScript, FastAPI, MCP, n8n, Make, Zapier, Retell AI, Vapi, GHL, GoHighLevel, Supabase, PostgreSQL, MongoDB, Pinecone, Weaviate, Stripe, Stripe Billing, Multi-Client Billing, AWS, Azure, GCP, Cursor, LangGraph, LangChain, RAG Pipeline, Vector Database, Semantic Search, Agentic AI, Multi-Agent Systems, Agentic Workflow Systems, AI Agents, AI Automation, LLM Integration, Prompt Engineering, Workflow Automation, Business Process Automation, CRM Automation, GHL Automation, Lead Intake Automation, Lead Nurturing, Lead Qualification, AI SMS SDR, SMS Automation, Email Automation, Follow Up Automation, Hot and Cold Lead Scoring, Lead Routing, Human in the Loop, AI Calling Agent, Voice AI, Voice Agents, Inbound Voice Agent, Outbound Voice Agent, Appointment Booking Automation, Custom AI Chatbot, Chatbot Development, Database Connected Chatbot, Dynamic Data Retrieval, Real-Time Conversational Systems, Conversational AI, AI Assistant Development, Custom Dashboard Development, Analytics Dashboard, Revenue Analytics, Sales Pipeline Dashboard, Pipeline Automation, Real-Time Reporting, Business Intelligence, API Integration, SaaS Development, MVP Development, Prototype to Production, Production Hardening, Deployment Pipeline, Cloud Deployment, AI App Development, AI Powered SaaS Platform, AI Systems Architect, Automation Architect, AI Infrastructure Engineer, Applied AI Engineer, AI Full-Stack Developer, Full-Stack SaaS Developer, Fractional AI Architect, AI Solutions Architect, Product Engineer, Healthcare Automation, Healthcare AI, Real Estate AI, Real Estate Automation, PropTech, HVAC Automation, LegalTech, Law Firm Automation, Cross-Industry Automation

Full Stack Developer | 5+ Years Experience | AI-Powered Development I build fast, secure, and scalable web and mobile applications using React, Next.js, and Python. By integrating AI agents and modern development tools, I deliver production-ready MVPs and enterprise solutions efficiently. ⚡ 𝐌𝐘 𝐆𝐔𝐀𝐑𝐀𝐍𝐓𝐄𝐄: 𝐂𝐎𝐃𝐄 𝐐𝐔𝐀𝐋𝐈𝐓𝐘 I do not write "spaghetti code." My code is: ✅ Clean & Modular: Easy for other developers to read and update. ✅ Bug-Free: Tested thoroughly before delivery. ✅ Secure: Built with best practices for data protection. ➡ 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 𝐄𝐗𝐏𝐄𝐑𝐓𝐈𝐒𝐄 🔹 Frontend: React.js, Next.js, TypeScript, Tailwind CSS. 🔹 Backend: Python (Django, FastAPI), PHP (Laravel), Node.js. 🔹 Mobile: Flutter, React Native (iOS & Android). 🔹 AI & Agents: LangChain, Langgraph, CrewAI, OpenAI SDK, RAG, n8n, Zapier. 🔹 Tools & Cloud: Supabase, Firebase, Docker, AWS, Vercel, Cursor. ➡ 𝐌𝐘 𝐒𝐄𝐑𝐕𝐈𝐂𝐄𝐒 1. 𝙵𝚞𝚕𝚕 𝚂𝚝𝚊𝚌𝚔 𝚂𝚊𝚊𝚂 𝙳𝚎𝚟𝚎𝚕𝚘𝚙𝚖𝚎𝚗𝚝 Building scalable SaaS platforms using Django or Laravel. Fast frontends with Next.js and React. Rapid MVP development using Supabase and Cursor. 2. 𝙼𝚘𝚋𝚒𝚕𝚎 𝙰𝚙𝚙 𝙳𝚎𝚟𝚎𝚕𝚘𝚙𝚖𝚎𝚗𝚝 Native-feel apps using Flutter and React Native. Smooth animations and offline capabilities. Publishing to Apple App Store & Google Play. 3. 𝙰𝙸 𝙰𝚐𝚎𝚗𝚝𝚜 & 𝙰𝚞𝚝𝚘𝚖𝚊𝚝𝚒𝚘𝚗 AI Integration: Custom chatbots and RAG systems (Langgraph). Workflow Automation: Connecting apps using n8n and Zapier to save time. Data Scraping: Extracting data from websites automatically. 4. 𝙳𝚎𝚟𝙾𝚙𝚜 & 𝙸𝚗𝚏𝚛𝚊𝚜𝚝𝚛𝚞𝚌𝚝𝚞𝚛𝚎 Deploying apps to AWS, Vercel, or Heroku. Setting up CI/CD pipelines (GitHub Actions) for auto-updates. Database optimization (PostgreSQL, Redis). ➡ 𝐖𝐇𝐘 𝐂𝐋𝐈𝐄𝐍𝐓𝐒 𝐇𝐈𝐑𝐄 𝐌𝐄 Speed: I use AI tools to code faster without losing quality. Communication: I speak clear English and give daily updates. Solution-Oriented: I don't just follow orders; I help you improve your idea. 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝? Click the "𝘐𝘯𝘷𝘪𝘵𝘦" button at the top right, and let's discuss your project! _______ Roles: Full Stack Developer | Python Developer | React Developer | Next.js Developer | Laravel Developer | Flutter Developer | React Native Developer | AI Engineer | AI Agent Developer | SaaS Developer | Backend Developer | Frontend Developer | Mobile App Developer | Automation Expert | Web Scraper | DevOps Engineer | API Developer | Languages & Frameworks: Python | Django | Flask | FastAPI | PHP | Laravel | JavaScript | TypeScript | React.js | Next.js | Node.js | Express.js | Dart | Flutter | React Native | HTML5 | CSS3 | Tailwind CSS | Bootstrap | Material UI | AI & Automation: Artificial Intelligence | Machine Learning | OpenAI API | GPT-4 | Claude | Gemini | Llama 3 | LangChain | LangGraph | RAG (Retrieval-Augmented Generation) | AI Agents | Chatbots | n8n | Zapier | Make .com | AutoGPT | CrewAI | HuggingFace | NLP | Prompt Engineering | Web Scraping | Selenium | Scrapy | Puppeteer | Playwright | Tools & Infrastructure: Cursor | Lovable.dev | Supabase | Firebase | Vercel | Netlify | Heroku | Coolify | Docker | Kubernetes | AWS (EC2, S3, Lambda, RDS) | Google Cloud (GCP) | Git | GitHub Actions | CI/CD | PostgreSQL | MySQL | MongoDB | Redis | Celery | RabbitMQ | Stripe Integration | Google Maps API | Figma to Code |

I build automation systems and custom Python tools that replace manual work your team is tired of doing. My edge over most developers: I reverse-engineer private website APIs. When a site blocks standard scrapers or has no public API, I dig into the network traffic, find where the real data lives, and build a reliable pipeline on top of it. That's not something you can replicate with Zapier. Here's what that looks like in practice: I reverse-engineered the private APIs behind Facebook Marketplace and EIN Presswire's media directory (no credentials needed), then built clean data tools on both. I built a Django + React dashboard that lets non-technical users manage dozens of content bots from one screen. I also published pydantic-gsheets, an open-source Python library with full docs and tests. Day-to-day I work with Python, Node, FastAPI, Django, n8n, Windmill, Make, and AI APIs (Claude, OpenAI). The through-line is the same: your team describes the manual process, I automate it, and it runs on a schedule without anyone touching it. If that sounds like something you need, shoot me the task. I'll record a short Loom walking through exactly how I'd build it. Youssef Benhammouda AI Automation | Python | API Reverse Engineering | HAR Analysis | Windmill | n8n | Make | FastAPI | Django | Playwright | OpenAI | Claude | ETL