Most AI/ML projects fail after the demo. The model works. The notebook looks great. But in production? Slow responses. Hallucinations. Poor forecasts. Scaling issues. No monitoring. No real ROI. That’s where I come in. I design and deploy production ready AI systems not experiments. From LLM applications and AI agents to forecasting engines and spatial intelligence platforms, I build systems that are stable, scalable, and built for real business workflows. 🔹 What I Build • Custom LLM apps (GPT, Claude, Llama) • Retrieval-Augmented Generation (RAG) with vector databases • AI agents & workflow automation • Private knowledge assistants over company data • Time-series forecasting & anomaly detection systems • Trading & financial signal models • GeoAI / spatial ML pipelines (predictive mapping, mineral targeting) • ML APIs & decision-support dashboards 🔹 End-to-End Execution Data pipelines → Feature engineering → Modeling → Evaluation → Deployment → Monitoring No fragile prototypes. No black-box confusion. Just structured, measurable AI systems. I combine deep ML expertise (PyTorch, TensorFlow, Transformers) with backend engineering (FastAPI, SQL, cloud deployment) so your solution performs under real-world load. If you’re facing: • Unreliable LLM outputs • AI hallucination issues • Forecasting models that lack accuracy • Poorly structured data pipelines • AI tools that don’t integrate into workflows Let’s fix it properly. I focus on clarity, performance, and long-term scalability so your AI becomes an asset, not a liability. Let's get connected and talk about the problem you are facing to make it production ready and scalable.

I build full-stack AI products that actually scale — from React frontends to production LLM pipelines. RESULTS I'VE DELIVERED: → Slashed a FinTech client's GPT-4 bill from $60k to $4.8k/month using semantic caching and prompt optimization → Built a computer vision system monitoring 50+ retail locations with 97% accuracy — $2M in prevented losses → Architected AI-powered financial apps serving thousands of users with voice transcription and custom-trained assistants → Led NASA CAMS visualization portal handling millions of data points in real-time WHAT I BUILD: - Production LLM systems (LangChain, vector databases, RAG pipelines) - Computer vision pipelines (TensorFlow, OpenCV, RTSP streaming) - AI cost optimization (semantic caching, model routing, structured outputs) - Full-stack applications (Next.js, React, FastAPI, Python, AWS) RECENT WORK: - Lead Engineer at RivetAI — AWS, AI-powered film automation - UNICEF — Serverless app handling 5M+ pledges across 5 Nigerian states - NASA CAMS — Celestial data visualization for space research IDEAL CLIENT: You need an AI product built end-to-end, or your current AI system is too slow, too expensive, or doesn't scale. Message me with your challenge. I respond within 24 hours.

I help founders and startups ship reliable AI MVPs and production systems fast, turning ideas into working products in weeks, not months. As a Top Rated Plus Senior AI Engineer and Architect with 20+ years in software and 10+ years in production AI, I combine deep technical expertise with rapid execution. I founded an AI company in 2019 and have held senior engineering and occasional Fractional CTO roles. Clients hire me when they need a senior builder who can own the full cycle: architecture, fast prototyping, full-stack implementation, and production deployment. What I deliver quickly and reliably: Rapid AI MVPs & Prototypes: I use Codex, Grok, and other AI coding tools to accelerate development 100x while writing clean, maintainable code Production-grade AI Agents & multi-agent systems (LangGraph, CrewAI, AutoGen, LangChain) Advanced RAG systems and private knowledge bases Full-stack AI applications (Next.js, React, Node.js/Python, TypeScript) On-prem / local LLM deployments, GPU infrastructure, and cost-optimized scaling Secure automation, retrieval systems, and legacy AI platform modernizations Core stack: OpenAI, Anthropic, Grok, LlamaIndex, LangChain, Ollama, PostgreSQL + vector databases, Docker, Tauri, Rust, and all major cloud platforms. I’m the go-to senior engineer for founders and small teams who want speed without compromising quality. I act as technical lead or fractional CTO when needed, delivering systems that are secure, scalable, low-latency, and easy to maintain after launch. My focus is always on avoiding technical debt and building solutions that survive real users and growth. If you need a senior AI architect who can move fast, prototype quickly, and deliver production-ready results with long-term ownership, I’m a great fit. Let’s build something that actually works and lasts.

With over 14 years of experience in Software Development, I truly enjoy harnessing the latest and most effective technologies tailored to each project's unique needs. I'm a passionate and fun-loving web application developer, dedicated to crafting and delivering top-notch solutions. My expertise ranges from creating small websites to developing large-scale platforms. I’m well-acquainted with startup methodologies and have successfully navigated the scaling phase of a significant platform designed for large warehouses. I stick to industry standards like the MVC pattern and embrace the SCRUM framework to keep project management efficient. 💻 Experience in developing AI-driven solutions and software applications. My proven track record showcases my ability to leverage advanced technologies to boost efficiency, enhance user experiences, and provide actionable insights. 💻 Skilled in Generative AI, Machine Learning, and Full-Stack Development, backed by a strong foundation in Information Technology from a top-tier institute. I'm excited about the opportunity to contribute to innovative projects in a dynamic and challenging environment. 👇 AI/ML expertise includes: ✔ Generative AI Development ✔ Generative AI Integration ✔ Generative AI Consulting ✔ LLM Development ✔ AI Development ✔ AI Consulting ✔ AI as a Service ✔ Enterprise AI Development ✔ Machine Learning Development ✔ ChatGPT Integration 👇 Digital Transformation expertise includes: ✔ Data Science ✔ IoT Development ✔ Low Code Development ✔ RPA Consulting Services ✔ Modernization and Upgradation ✔ User Experience Design ✔ Digital Commerce 💻 Here are the skills and software I employ in my work: ⚙️ Python, NumPy, Pandas ⚙️ Django, Flask ⚙️ JavaScript, jQuery, VueJS, React, Node.js for dynamic and interactive frontend experiences. ⚙️ SQL, MySQL, phpMyAdmin, MongoDB for efficient and scalable database management. ⚙️ HTML, HTML5 for creating the structure of web pages. ⚙️ CSS, CSS3, SASS, and LESS for visually appealing and responsive designs. ⚙️ Adobe Photoshop, Adobe XD, Sketch, and Figma for designing and prototyping. ⚙️ Git, GitHub, and Googs (Google Cloud) for version control and cloud-based development. ⚙️ PHPStorm, Atom, and Sublime Text for powerful and efficient coding environments. ⚙️ Trello, Jira, Bitbucket, and Scrum for streamlined project management. ⚙️ PSD to HTML conversion for converting design files into functional web pages. ⚙️ Bootstrap for rapid and consistent development. I am excited to bring my skills, experience, and dedication to your projects on Upwork, ensuring top-notch web application development and successful delivery. Let's collaborate and create exceptional digital experiences together!

* Expert Vetted talent in Upwork with 100% job success rate. * I am looking for long term work in solving problems with Machine Learning solution. * I have been working on Machine Learning for over 5 years. * My area of expertise in Machine Learning area are: Computer Vision and NLP. * My live projects include: 'Detect Products of Super-market shelves', 'Detect sharp objects from x-ray image', various Image classification models like to classify inside/outside House, Shoes(of different materiel), 'Text classification' of various articles. * I have also worked on stock forecasting LSTM model using stock data and sentiment data. * I have a certification from Udacity in "Self Driving Car Engineer" Nano Degree

𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 & 𝐋𝐋𝐌 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 - 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐦𝐮𝐥𝐭𝐢-𝐚𝐠𝐞𝐧𝐭 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐫𝐞𝐩𝐥𝐚𝐜𝐞 𝐦𝐚𝐧𝐮𝐚𝐥, 𝐫𝐞𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐦𝐚𝐤𝐢𝐧𝐠 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐰𝐢𝐭𝐡 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬, 𝐞𝐱𝐩𝐥𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬. I design and ship production-grade agentic AI systems: multi-agent pipelines that interpret natural-language requests, pull and reason over real data, and take safe, bounded actions not just chatbots that answer questions, but agents that do work. My core stack is CrewAI/multi-agent orchestration, LLM integration (OpenAI, Claude), RAG with vector search, and API-level integration into real business systems (PostgreSQL, ad platforms, CRMs). A few examples of what I've built: a 3-agent bid-pacing system that replaced hours of manual campaign analysis with instant, confidence-scored recommendations; a multi-agent campaign activation system that cut manual ad-campaign setup time by 80–90% across 7 platforms; an audience-discovery agent combining full-text and vector search to replace manual segment hunting; and a real-time LLM voice agent (RAG-powered) handling inbound sales calls 24/7 without human dependency. What makes my agents different: I come from a statistical modeling and validation background (PhD, Operations Research), so I don't just wire up an LLM and hope it behaves — every agent I build has explicit guardrails, confidence scoring, and validation logic, because the same discipline that makes a model trustworthy (knowing when to trust a signal vs. distrust it) is what makes an autonomous agent safe to run in production. Background: PhD Operations Research (NC State), MS Operations Research (UNC Chapel Hill), MTech (IIT Bombay), 20+ years shipping production systems not just building models, owning them end-to-end from raw data to deployed decision-making tools. I care more about whether a system actually ships, holds up under real usage, and can be trusted to run unsupervised than about using the trendiest framework.

EXPERT-VETTED (TOP 1%) | 100% JOB SUCCESS Most AI projects look finished in a demo, then break in production. I build production-grade software. That means it holds up with real users : Scales under real traffic, not just a demo Secure and tested, not "looks fine, ship it" Clean architecture your next hire can build on Costs you can predict before you commit 25 years building software. Now my team and I direct AI agents across the full build and review every line before it ships. Fast, but not vibe coding. I AM A FIT IF YOU Have an idea but no technical leadership to run the build Have a vibe-coded app generating MRR but need a stable foundation under it Started building but need architecture and senior oversight to finish Want to use AI without losing control of your codebase REAL RESULTS A traditional build was quoted at $1.2M. My team and I delivered it for $95K, same scope. Replaced a client's manual spreadsheet process with a web app. Revenue up 71%. Architecture that held through 500% traffic growth 79M pricing calculations a month, in production WHAT WORKING WITH ME LOOKS LIKE Full team: I bring engineers, a product owner, a designer, and QA. I lead the architecture. AI executes. Nothing ships without senior review. Advisory: I come in as your technical advisor. Same judgment, scoped to what you need. Either way, there's a senior engineer on it from the first call to the final release. RECENT PROJECTS Automotive SaaS: A real-time pricing platform running 79M price combinations a month 24/7. AI Knowledge Platform: A voice-first knowledge platform that works offline at sea. Captures what senior crews know and makes it searchable for the next crew. Live broadcast with AI: A multi-agent engine that writes and narrates stories live, adapting to the audience in real time. TECH STACK AI/ML: LLMs, RAG, vector search, multi-agent orchestration Backend: Python, Node.js, TypeScript Frontend: React, React Native, Unity Cloud: AWS, Docker, Kubernetes Data: SQL, NoSQL, vector DBs BEFORE YOU COMMIT TO ANYTHING Book 30 minutes with me directly. Honest feedback on feasibility, realistic cost, and fit. No pitch. No commitment. NDA first.

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork 🔴 I am in the 𝗧𝗼𝗽 𝟰% overall on Stack Overflow ✅ 𝟏𝟎𝟎𝐊+ 𝐓𝐨𝐭𝐚𝐥 𝐞𝐚𝐫𝐧𝐢𝐧𝐠𝐬 ✅ 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐑𝐚𝐭𝐞 ✅ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 ✅ 𝟏𝟎+ 𝐘𝐞𝐚𝐫𝐬 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 ✅ 𝟗𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐝 ✅ 𝐀𝐖𝐒 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 ✅ 𝟓𝟎𝐡𝐫𝐬/𝐰𝐞𝐞𝐤 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 ✅ 𝟒+ 𝐲𝐞𝐚𝐫𝐬 𝐀𝐈/𝐌𝐋 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 ✅ 𝐏𝐲𝐭𝐡𝐨𝐧 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐆𝐫𝐞𝐞𝐭𝐢𝐧𝐠𝐬! 𝐈 𝐚𝐦 𝐀𝐚𝐲𝐮𝐬𝐡, 𝐚 𝐬𝐞𝐚𝐬𝐨𝐧𝐞𝐝 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐰𝐢𝐭𝐡 𝐨𝐯𝐞𝐫 𝟖+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama 🔹 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 / 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: CrewAI, AutoGen, LangGraph, Semantic Kernel, OpenAI Swarm, OpenAI Assistants API, MCP, Vapi, Retell AI, Bland AI, Synthflow, LiveKit, Pipecat, Amazon Polly, Deepgram, ElevenLabs, Whisper, Rasa AI 🔹 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠: PEFT, LoRA, QLoRA, RLHF, DPO, ORPO, SFT, TRL with Unsloth, Axolotl, HuggingFace AutoTrain, SageMaker 🔹 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: LLaMA 3, Mistral 7B, Mixtral 8×7B, Qwen, DeepSeek, Phi-3, Falcon, Gemma 🔹 𝐂𝐥𝐨𝐬𝐞𝐝 𝐋𝐋𝐌𝐬: GPT-4o, o1, o3, Claude, Gemini, Amazon Bedrock, Cohere 🔹 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: vLLM, TGI, TensorRT-LLM, Ollama, llama.cpp, Groq 🔹 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Multi-turn, Few-shot, Zero-shot, Chain-of-Thought, ReAct, RAG-based prompts 🔹 𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: AWQ, GPTQ, GGUF, GGML, bitsandbytes 🔹 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: LangChain, LlamaIndex, Haystack, GraphRAG, ChromaDB, FAISS, Pinecone, Qdrant, Weaviate, Milvus, pgvector 🔹 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: n8n, Make, Zapier AI, Flowise, LangFlow, StackAI 🔹 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Stable Diffusion, DALL·E, Flux, Midjourney, ControlNet, GPT-4 Vision 🔹 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞: Synthetic dataset generation, LLM evaluation frameworks, Ragas, DeepEval 🔹 𝐋𝐋𝐌𝐎𝐩𝐬 & 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: LangSmith, Langfuse, TruLens, Weights & Biases 🔹 𝐌𝐋 & 𝐍𝐋𝐏: PyTorch, TensorFlow, HuggingFace Transformers, scikit-learn, sentence-transformers 🔹 𝐋𝐋𝐌 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK, BentoML, Modal, Replicate 🖥️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API. 🔹 Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. 🔹 Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. 🔹 Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. 🔹 Experienced with Nest.js for enterprise-grade server-side applications. 🔹 LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. 🔹 Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. 🔹 Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. 🔹 Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. 🌐 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. 🔹 Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA). 🔹 Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs. 🛠️ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: 🔹 Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. 🔹 Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. 🔹 Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H My expertise spans both frontend and backend technologies, as well as a variety of tools and additional skills that enable me to deliver comprehensive solutions. Warm regards, Aayush Saini

Turned 40,000 unstructured leads into $1.4M in revenue for a 50M fitness franchise by rebuilding their sales qualification system from the ground up using AI, CRM automation, and lead funnel redesign. Currently working with SAP consultancies to cut project delivery time by 40% through auditable AI workflows. Faster demos, cleaner handoffs, less manual work per engagement. Also running an active revenue-sharing engagement with a private equity firm on AI-powered lead funnel optimization — structured around outcomes, not hours. The way I work: I find where revenue is leaking, build the system that fixes it, and measure the before and after. That means CRM pipelines, AI-powered lead scoring, automated outreach sequences, and sales funnel restructuring. Not decks. Actual builds. Clients have included YC-backed startups, Stanford and NVIDIA-backed teams, and scaling businesses across the US, Europe, and the Middle East. If you have a sales or ops problem where the gap between current and target revenue is clear, that is the kind of work I take on.

🤖 Full stack by foundation, AI Engineer by conviction. Math nerd before AI was cool - now I build production AI systems, not demos. 🇺🇦 I'm a CTO-level AI Engineer and AI Developer with 17+ years in software development and 5+ years in AI niche. • 20+ AI Agent systems as AI Agent Developer and AI Agent Builder: sales agent, lead generation, AI Agent automation for FinTech, quant machine learning trading, GIS machine learning • 15+ AI Automation pipelines as AI Automation Engineer - n8n, AI Automation n8n, AI Automation Make, AI Automation Zapier, Airtable integration - 50%+ manual ops reduction • 12+ AI Integration projects as AI Integration specialist: RAG, LLM, OpenAI API, api integration into SaaS and CRM • Machine Learning systems by machine learning architect: computer vision machine learning, data scientist machine learning, machine learning trading, AI Agent n8n workflows I lead a team of AI Engineers, AI Developers, Machine Learning engineers, and Computer Vision specialists delivering AI Agent, AI Automation, and AI Integration solutions - from MVPs to enterprise platforms. Looking for an AI Engineer who builds real AI Agent systems, not demos? An AI Automation Engineer who architects end-to-end workflows? An AI Integration specialist who connects LLMs into your stack? You've found the right AI Developer team. 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗮𝘀 𝗮𝗻 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿: ✅ AI Agent Development - autonomous AI Agent systems, multi-agent orchestration, Agentic AI workflows with LangChain. As an AI Developer specializing in LangChain, I build agents with memory, planning, and tool-calling - not simple prompt chains. ✅ AI Automation - as an AI Automation Engineer, I design AI Automation pipelines using n8n, Zapier, and Make com. My AI Developer experience with Zapier and Airtable integration means AI Automation connects directly into your existing tools. ✅ AI Integration - AI Integration is the core of my AI Engineer work: integrating Large Language Models, OpenAI API, and custom AI models into production systems. I handle the full AI Integration lifecycle - API design, RAG pipelines, deployment. ✅ AI Chatbot Development - I'm an AI Chatbot Developer and AI App Developer building intelligent multilingual AI Chatbot products with NLP and LLM Prompt Engineering. Every engagement includes RAG architecture, not just API wrapping. ✅ Machine Learning & Computer Vision - as a Machine Learning engineer and data scientist, I design and deploy Machine Learning models for Computer Vision, NLP, and predictive analytics - image recognition, fraud detection, trading systems. ✅ Full Stack AI Developer & Web Development - as a Python developer and software engineer, I build the infrastructure AI Engineer and Machine Learning work needs: React, Node.js, API Integration, AWS, Docker, Kubernetes. 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗰𝗵𝗼𝗼𝘀𝗲 𝗺𝘆 𝘁𝗲𝗮𝗺: As an AI Full Stack Engineer, I architect AI Agent and AI Automation systems that scale. Whether it's AI Integration, AI Automation, or a full AI Agent build, my team delivers Machine Learning depth and senior ownership. 🧬 Core Expertise: - Machine Learning, Deep Learning (PyTorch, TensorFlow), Python Machine Learning systems - NLP, Computer Vision (OpenCV, CNN), RAG, Large Language Model integration - AI Engineer RAG NLP stack - AI Agent Development, Agentic AI, LangChain for production AI Agent systems - AI Automation: n8n, Zapier, Make com, Airtable integration - AI Integration and API Integration - RESTful / GraphQL for AI Integration projects - Data Scientist workflows; computer vision machine learning and quant machine learning for FinTech - AWS, Docker, Kubernetes for AI Engineer and AI Automation deployments 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: Python · PyTorch · TensorFlow · Scikit-Learn · LangChain · OpenCV · React · Node.js · PostgreSQL · MongoDB · AWS · Docker · n8n · Zapier · Airtable · OpenAI API · machine learning phd 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀: FinTech & quant machine learning · e-Learning · Gaming · e-Commerce · EcoTech · PropTech · Cybersecurity This profile fits if you're looking for: AI Engineer · AI Developer · AI Agent Developer · AI Agent Builder · AI Agent Creator · AI Automation Engineer · AI Integration specialist · AI Chatbot Developer · AI Developer LangChain · AI Developer Zapier · ai api integration · Airtable integration · airtable automation · machine learning architect · machine learning phd · data scientist machine learning · computer vision machine learning · quant machine learning · open ai developer · ai prompt engineer · ai prompt engineering · ai machine learning · ai lead generation · ai agent crypto · ai software developer social media marketing automation business development · data analyst · python developer · software engineer · ai data engineer · web developer · ai automationai developer · ai saas developer · app developer with ai · bolt ai developer ui ux engineer 👉 Check the portfolio and selected projects below.