Most developers build features. I build systems that handle real users, real payments, and real scale. I specialize in backend-heavy SaaS platforms where things break if not designed properly — payments, real-time flows, multi-tenant logic, and high-traffic systems. ⚡ What I bring → 7+ years of production experience → Strong system design mindset (not just feature delivery) → Backend architecture using NestJS (Node.js) + FastAPI (Python) based on best-fit → Real-time systems (WebSockets, concurrency handling) → Payment systems (Stripe, webhooks, subscriptions) → Multi-tenant SaaS platforms 🔥 Proven Work → Multi-tenant system → AI-powered ticketing system (secure backend AI + automation workflows) → AI document generation system (FastAPI-based backend) → Noloco + Airtable + Stripe-based lead marketplace → High-traffic eCommerce platforms (4k+ daily users) → Streaming platform (real-time video using Agora) → Blockchain systems (ICO, NFT marketplace, crypto wallet) 🧠 How I think Before coding, I identify: → Where your system can break (webhooks, race conditions, scaling issues) → What needs strict consistency vs flexibility → Whether NestJS or FastAPI is the better choice 🛠 Tech Stack → Node.js, NestJS, TypeScript → Python, FastAPI → Next.js, React → PostgreSQL, MongoDB → Stripe, WebSockets → AWS, Vercel, Railway → Airtable, Noloco, Zapier, Perspective ⚡ Working Style → Fast, clear communication → Clean, maintainable code → Works within your system (no unnecessary rewrites) → Focus on long-term scalability If you're building a serious SaaS, AI system, or payment-driven platform — I can help you build it right from the start.

I build production AI systems, not thin API wrappers. Whether it's a focused MVP or a full-scale platform, I deliver complete pipelines from data ingestion through retrieval and LLM orchestration to deployed, documented APIs. 15+ years in data-intensive software. The last 3+ years focused entirely on LLM-powered products across regulated and high-stakes domains: legal compliance, HR, energy markets, healthcare, financial data, and CX analytics. Before AI engineering, I spent 8 years as a scientific software engineer at CNRS (French National Research Centre), building research-grade crystallographic software and managing HPC infrastructure. That background in scientific computing and peer-reviewed research is what separates my work from typical AI integrations: I build systems with rigour, not just speed. What I deliver: • RAG pipelines over large document corpora with semantic search, hybrid retrieval, and citation tracking (Pinecone, pgvector, sqlite-vec) • LLM orchestration — multi-step autonomous workflows, streaming chat, prompt management, structured output with validation • Production FastAPI backends with auth, caching, background processing, and OpenAPI docs • Data ingestion and extraction pipelines (PDF, Excel, XML, OCR) with AI + traditional fallback strategies • Full deployment: Docker, Nginx, Gunicorn, DigitalOcean, Azure Current production systems include: — Multi-country HR compliance audit platform with branded report exports — Portuguese labour law compliance engine with OCR and vector-indexed legal corpus — AI sales outreach platform orchestrating Perplexity research + Claude composition — CX analytics platform with streaming LLM chat, survey RAG, and embeddable sessions — Real-time lightning risk monitoring system processing EUMETSAT satellite data — Automated payroll extraction from mixed-format archives with banking field validation I own the full backend scope with minimal oversight. Direct communication, clear progress, blockers flagged early.

🚀 Scalable APIs • Smart Automation • Embedded Intelligence I help businesses build robust Python backends that go beyond the basics — from scalable APIs and AI-driven insights to embedded IoT systems and browser automation. As a Senior Python Backend Developer with over 4 years of experience, I bring hands-on experience in building reliable, fast, and scalable systems using frameworks like FastAPI, Django, and Flask, paired with powerful tools for automation, data processing, and intelligent systems. 🧠 Key Specialties: 🔹 Python Frameworks: FastAPI, Django, Flask 🔹 Automation & Bots: Selenium, Playwright 🔹 IoT & Embedded Development: Raspberry Pi, Sensor Integration 🔹 Multimedia/Data Handling: FFmpeg, Real-Time Processing 🔹 Artificial Intelligence: LLMs, Machine Learning Models 🔹 Dev Tools: Git, Docker, REST APIs, Postman, Linux CLI 💼 What I Can Do For You: ✅ Build secure, high-performance RESTful APIs using FastAPI/Django ✅ Automate complex workflows, testing, or scraping using Selenium or Playwright ✅ Integrate ML models or LLMs into production-ready apps ✅ Develop Raspberry Pi–based systems with real-world hardware integration ✅ Process audio/video content with FFmpeg pipelines ✅ Optimize codebases for performance, structure, and maintainability 🔍 Notable Work Highlights: ⚙️ SaaS API Backend: Built and deployed a scalable backend using FastAPI and PostgreSQL 🧪 Automation Suite: Designed a full web automation/testing system with Selenium & Playwright 🌐 IoT Integration: Created sensor-to-cloud applications using Raspberry Pi & MQTT 🧠 ML Integration: Deployed custom ML models for real-time predictive analytics 🎥 Media Processing: Automated transcoding workflows using FFmpeg with async jobs 🤝 Let’s Build Something Smart Together I bring a clean code approach, thoughtful architecture, and a passion for solving real-world problems through automation and backend logic. Whether you’re launching a product or streamlining internal operations — I’m here to help. 📩 Let’s discuss how I can bring high-performance backend engineering to your project.

Python Developer | FastAPI · Playwright · Selenium · AI Integration · Stealth Browser Automation 5+ years building production-grade Python systems for healthcare, finance, and government platforms — the workflows most developers refuse to touch. ⭐ 5/5 — "He reverse-engineered the network flow, saving me time and money. I immediately extended the project." ⭐ 5/5 — "Great work on backend. Quick with very high quality, happy to work again." ⭐ 5/5 — "Executed everything on the agreed timeline, communicated well, high quality work." 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱 If your process involves authenticated portals, JavaScript-heavy flows, unstable APIs, or data that must be accurate and repeatable — that's exactly where I work. One automation replaced 40+ hours of manual work per week. One pipeline processed 10,000+ records with retries and error recovery built in. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 & 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗔𝗣𝗜𝘀 ✅ FastAPI and Flask services, REST APIs, webhook-driven workflows ✅ Authentication, role-based access, token handling ✅ Third-party API integration and microservice-style Python backends ✅ Async I/O with asyncio and httpx, background jobs, concurrent pipelines ✅ Production-ready: structured logging, Docker, Linux deployment 𝗕𝗿𝗼𝘄𝘀𝗲𝗿 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗦𝘁𝗲𝗮𝗹𝘁𝗵 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 ✅ Playwright, Selenium, Pyppeteer — public and authenticated websites ✅ Stealth browser automation: Cloudflare bypass, CAPTCHA handling, fingerprint evasion ✅ Stable session management, human-like interaction patterns ✅ JavaScript-heavy SPAs, dynamic DOM flows, and AJAX-driven portals ✅ Visa portals, healthcare verification systems, government dashboards 𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗟𝗟𝗠 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 ✅ Claude API and OpenAI GPT integration into Python backends ✅ AI-powered automation pipelines and LLM-driven document processing ✅ Structured output, prompt design, and cost-controlled production deployments ✅ AI workflows embedded in FastAPI services and async Python systems 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 & 𝗘𝗧𝗟 ✅ End-to-end extraction, cleaning, enrichment, and export ✅ Pandas-based reporting, CSV and Excel automation, deduplication ✅ Structured handling of JSON, PDFs, and Base64-encoded data ✅ SQL, MongoDB, and deployment-ready data workflows 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Visa applications and arrival cards, healthcare compliance forms, 2FA-protected verification systems, account verification flows, cross-portal status tracking — systems other developers assume cannot be automated. 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸 I start by understanding the real goal and edge cases. I deliver in small, reviewable milestones. You receive clean, documented code built for long-term maintainability — not a script that breaks next week. If you need reliable Python systems for complex, accuracy-critical workflows — share your requirements and I'll outline a clear approach. Python Developer | FastAPI | Flask | REST API | API Integration | Web Automation | Web Scraping | Playwright | Selenium | Pyppeteer | Stealth Browser Automation | Cloudflare Bypass | Async Python | asyncio | AI Integration | LLM Integration | Claude API | OpenAI | Data Pipelines | ETL | Pandas | Healthcare Automation | Government Portals | Visa Automation | Docker | MongoDB | SQL

AI Engineer specializing in RAG systems, LLM applications, and AI automation workflows. I build production-ready AI systems that work reliably in real-world use. If you're building an AI system, the biggest challenge is not generation it's reliability, retrieval, and real-world performance. I specialize in building production-ready AI systems using RAG, LLMs, and automation workflows that are designed to work beyond demos. What I can help you with: • RAG systems (retrieval-augmented generation) • AI agents and automation workflows • LLM integration (OpenAI, Claude) • API-based AI systems and backend development • Data pipelines and structured output systems I focus on: • Accurate retrieval (vector search, filtering, ranking) • Stable outputs (structured responses, validation) • Scalable architecture (real usage, not prototypes) Tech stack: Python, FastAPI, LangChain, LangGraph, Pinecone, OpenAI, Claude, APIs, Automation, MCP, Odoo Why work with me: I don’t just build features I design systems that actually work in production and scale with real users. If you're looking for someone who understands both AI and system architecture, I can help you build it right.

You have data and a deadline. I build the pieces in between, cleanly, reliably, and with the business goal front and center. I'm a hands-on 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 who takes projects from idea to model to 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 (𝗠𝗟𝗢𝗽𝘀), covering NLP, Computer Vision, classic predictive modeling, and modern LLMs / Generative AI, including agentic AI workflows, RAG pipelines, and multi-agent systems, plus production full-stack apps when they truly add value. 𝗪𝗵𝗮𝘁 𝗜'𝗺 𝗚𝗼𝗼𝗱 𝗔𝘁: • Turning messy data into something useful: data pipelines, data engineering, features, guardrails • Choosing the right approach: scikit-learn / XGBoost / LightGBM when it's enough, PyTorch / TensorFlow when we need deep learning, LLMs with prompt engineering and fine-tuning when the task calls for it • Building things people actually use: microservices with FastAPI / Django / Flask, responsive frontends in React / Next.js, containers with Docker, cloud deploys on AWS / GCP / Azure, monitoring & retraining so models don't quietly drift • Working across structured and unstructured data: PostgreSQL, MongoDB, Redis, Kafka, documents, APIs, logs, whatever you have • Shipping reliable full-stack SaaS platforms: Node.js / Express backends, React / Next.js / Vue.js / TypeScript frontends, REST / GraphQL APIs, auth, RBAC, payments, WebSockets, background jobs with Celery • Explaining trade-offs clearly so you can make decisions quickly 𝗪𝗵𝗲𝗿𝗲 𝗜'𝘃𝗲 𝗯𝗲𝗲𝗻 𝗺𝗼𝘀𝘁 𝗵𝗲𝗹𝗽𝗳𝘂𝗹 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: agent orchestration with tool calling and multi-step workflows, multi-agent systems, human-in-the-loop review for high-stakes actions, knowledge platforms and enterprise search over internal data, workflow automation (LangChain, LangGraph, n8n) 𝗥𝗔𝗚 & 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: retrieval-augmented generation pipelines, vector databases (Pinecone, Weaviate, FAISS), embedding models, chunking strategies, hybrid search, evaluation frameworks, safety checks (Hugging Face, OpenAI / Anthropic APIs, LangChain / LlamaIndex) 𝗡𝗟𝗣 / 𝗟𝗟𝗠𝘀: customer support assistants, document Q&A, classification, summarization, knowledge graphs, conversational AI (spaCy, Hugging Face, OpenAI / Anthropic) 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: detection, segmentation, OCR, image processing, quality control, retail/warehouse vision (OpenCV, YOLO, PyTorch) 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗥𝗶𝘀𝗸: demand, pricing, time series analysis, churn/CLV, fraud & credit risk models, quantitative analysis 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 & 𝗦𝗮𝗮𝗦: scalable SaaS platforms, API integration, responsive React / Next.js interfaces, real-time features, e-commerce, payments, dashboards, web scraping (Selenium, Scrapy, BeautifulSoup) 𝗠𝗟𝗢𝗽𝘀 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: CI/CD for ML, model deployment and model serving (REST/gRPC), MLflow, Airflow, Databricks, SageMaker, drift detection, traceability, evaluation loops, metrics, alerting, scheduled retraining 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗖𝗹𝗼𝘂𝗱: Docker, Kubernetes, Terraform, CI/CD (GitHub Actions, GitLab, Jenkins), blue-green deployments, zero-downtime migrations, solution architecture, AWS / GCP / Azure, Bedrock, Vertex AI 𝗛𝗼𝘄 𝘄𝗲'𝗹𝗹 𝘄𝗼𝗿𝗸: 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆: you share goals, constraints, and sample data. I propose a lean plan and success criteria. 𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲 𝗳𝗮𝘀𝘁: a working baseline in days, not weeks; we measure, iterate, and cut what doesn't matter. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻𝗶𝘇𝗲: clean code, tests, containers, infra as needed; handover docs and dashboards so your team isn't guessing later. 𝗔𝗳𝘁𝗲𝗿𝗰𝗮𝗿𝗲: I monitor models, handle drift, and plan upgrades on a sensible cadence. 𝗧𝗲𝗰𝗵 𝗜 𝘂𝘀𝗲 𝗮 𝗹𝗼𝘁: Python (Pandas, NumPy, scikit-learn, XGBoost / LightGBM) • PyTorch • TensorFlow / Keras • Hugging Face • spaCy • OpenCV • FastAPI / Django / Flask • React, Next.js, TypeScript, Vue.js • Node.js, Express • PostgreSQL, MongoDB, MySQL, Redis, Kafka • LangChain / LlamaIndex / LangGraph • Pinecone / Weaviate / FAISS • Docker / Kubernetes / Terraform • MLflow • Airflow • Databricks • SageMaker / Bedrock / Vertex AI • n8n • GCP / AWS / Azure 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱: Healthcare | Finance/FinTech | E-commerce/D2C | SaaS | Manufacturing | Logistics | Startups/Scale-ups If you need a partner who can 𝘀𝗵𝗶𝗽, not just explore notebooks or push pixels, send a short note with your goal and a sentence about your data. I'll reply with one or two practical paths, costs, risks, and a realistic timeline, so you can decide quickly.

Hi! I'm an expert backend developer. Python, Django, Flask, FastAPI, Node.js are my key skills. The work I care about is the stuff under the surface: APIs, databases, real-time systems, and lately, the infrastructure holding AI products together. Most of my backend work has been in FinTech and SaaS: insurance management, custom accounting software, behavioral finance. These tend to be the projects where the backend actually matters: real-time data, concurrent users, and zero tolerance for downtime. I've also worked across health, EdTech, and real estate. 𝗪𝗵𝗮𝘁 𝗜 𝗢𝗳𝗳𝗲𝗿: • Custom Python/Node solutions • API development and Integration • AI/ML Model Development (Supervised & Unsupervised Learning) • Natural Language Processing (NLP) and Computer Vision • AI-Powered Chatbots and Voice Agents • AI Automation and AI Agents • Data Analysis and Predictive Analytics • MLOps and Model Deployment using Docker, Kubernetes, or Cloud Platforms (AWS, GCP, Azure) 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: • 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python · Django · FastAPI · Flask · Node.js · Express.js · REST APIs · GraphQL · WebSockets • 𝗔𝗜/𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: TensorFlow · PyTorch · Keras · Scikit-learn · Computer Vision · NLP • 𝗗𝗮𝘁𝗮 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴: Pandas, NumPy, Spark • 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: FastAPI, Flask, Django REST Framework • 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL · MySQL · MongoDB · Redis · Supabase · SQLite • 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: AWS SageMaker, Azure ML, GCP AI Platform • 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Docker, Kubernetes, CI/CD Pipelines • Frontend (when needed): React · Angular · TypeScript 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲? • Proven track record of delivering AI/ML solutions that drive business growth • Strong problem-solving skills with a focus on data-driven decision-making • Expertise in building AI-powered chatbots, voice agents, and AI automation • Collaborative and results-oriented approach for building custom backends. • Effective communication and timely project delivery Feel free to reach out to discuss how I can add value to your project.

I am a Senior Backend Developer and Automation Engineer with 6+ years of experience specializing in Python. I don't just write code; I build resilient, scalable systems that save time, handle massive amounts of data, and integrate cutting-edge technologies. Whether you need a high-performance REST API built from scratch, a complex data pipeline capable of handling millions of e-commerce products, or the deployment of distributed AI models on cloud GPUs, I have the expertise to deliver it securely and efficiently. 🚀 What I Can Do For Your Business: High-Performance Backend Architecture: Expert-level API development using FastAPI (asynchronous, highly scalable), Django, and Flask. I design microservices and monolithic architectures tailored to your exact load requirements. Heavyweight ETL & E-commerce Automations: Engineered highly optimized data pipelines. I have successfully managed ETL (Extract, Transform, Load) processes for Shopify stores with over 1 Million+ products, ensuring seamless inventory and data synchronization. CRM & Workflow Automation: Extensive experience managing and creating custom automations within GoHighLevel (GHL) to streamline sales funnels and client acquisition. AI/ML Infrastructure & Integrations: I bridge the gap between AI research and production. I build distributed infrastructures to run AI models and configure generative AI tools like Stable Diffusion for specialized tasks (AI QR codes, face swapping, image generation). Advanced Python Capabilities: As a Python expert, my skills extend to complex web scraping, data analysis (using Pandas), asynchronous programming (Asyncio), and writing custom automation scripts to replace tedious manual workflows. Web3 & Custom Bots: End-to-end development of Blockchain DApps, as well as highly interactive custom bots for Discord and Twitter/X. Seamless Third-Party Integrations: Expertise in implementing robust payment gateways like Stripe, alongside custom webhooks and third-party REST/GraphQL APIs. 🛠️ My Tech Stack & DevOps Arsenal: Languages & Frameworks: Python, FastAPI, Django, Flask, Pandas. Cloud & DevOps (AWS Expert): Deploying and managing infrastructure on AWS, including EC2 (specifically GPU instances for AI), S3, ECR, Route53, and Serverless architectures via AWS Lambda. Infrastructure as Code (IaC) & Containerization: Pulumi, Docker, CI/CD pipelines. 🏆 Highlighted Past Projects: Distributed AI Network: Led the architecture and creation of a distributed backend infrastructure designed to run and scale complex AI models efficiently across multiple nodes. Enterprise E-commerce ETL: Designed and maintained an automation pipeline processing data for over 1,000,000+ Shopify products without bottlenecks. Generative AI Workflows: Configured and deployed Stable Diffusion environments to generate custom, high-fidelity outputs like dynamic QR codes and seamless face swaps. I pride myself on clean, well-documented code and transparent communication throughout the project lifecycle. Let’s connect to discuss how my backend and automation expertise can solve your most complex technical challenges.

I help startups and businesses build modern web applications that are fast, scalable, and easy to maintain. Whether you're launching a new SaaS product, building an MVP, adding AI features, or improving an existing application, I focus on delivering clean, reliable solutions that are ready for real users—not just prototypes. My primary stack includes TypeScript, Next.js, React, NestJS, FastAPI, PostgreSQL, MongoDB, Prisma, Supabase, AWS, and Docker. I also build workflow automations with n8n and integrate AI capabilities using modern LLM APIs. Here's how I can help: - Build full-stack web applications from the ground up - Develop scalable backend APIs and microservices - Create SaaS platforms and MVPs - Integrate AI features into existing products - Build workflow automations with n8n and third-party APIs - Design REST APIs and third-party integrations - Optimize application performance and fix complex bugs - Design efficient databases and scalable system architecture - Deploy applications using Docker, AWS, and modern CI/CD pipelines I care about writing clean, maintainable code and communicating clearly throughout every stage of a project. I believe great software isn't just about using the latest technologies—it's about building solutions that solve real business problems and continue to scale as your product grows. I follow Agile and Scrum practices, work well with cross-functional teams, and enjoy collaborating with designers, product managers, and other engineers to deliver high-quality software. If you're looking for a developer who can contribute beyond writing code and help build a reliable, production-ready product, I'd be happy to discuss your project. Let's build something great together.

Building production-ready AI systems, automated workflows, and robust data architecture. I am an expert AI Engineer and Full Stack Developer specializing in the design and architecture of real-world intelligent systems. I don't just write scripts; I build scalable production platforms, robust backend APIs, and complex data pipelines that turn raw information into high-quality business solutions. If you need a technical expert to design a long-term, high-performance model, implement an autonomous agent, or scale your development to the next phase, you are in the right place. 🚀 WHAT I BUILD & DESIGN 1. Data Pipelines & System Architecture Data Engineering: Designing high-performance data pipelines to extract, clean, and process structured and unstructured data. Production Systems: Architecting scalable backend systems and cloud infrastructure (Azure, AWS) for high-availability platforms. Real-World Integration: Seamless API and database integration to connect your proprietary data to modern AI models. 2. AI Agents & Automated Workflows Workflow Automation: Building complex, automated workflows using Python and n8n to streamline your business operations. Autonomous Agents: Developing intelligent agents that interact with tools, execute tasks, and make decisions based on real-time data. LLM & Prompt Engineering: Advanced prompt engineering, fine-tuning, and integrating top-tier LLM models (GPT-4, Claude) into your core product. 3. Full Stack & API Development Backend APIs: Designing clean, secure APIs and microservices using Python (FastAPI/Django) and Node.js. End-to-End Development: Taking your product from the initial design phase all the way to production deployment. 💻 MY TECHNICAL STACK & TOOLS AI & Models: Python, LLMs, LangChain, LlamaIndex, Vector Databases, Custom Agent Frameworks. Engineering & Architecture: System Design, Data Pipelines, RESTful APIs, Microservices. Backend & Full Stack: Node.js, Python, SQL/NoSQL Databases. Cloud & Automation: n8n, Azure, AWS, Docker, CI/CD pipelines. 💡 My Engineering Philosophy: I focus on quality code and scalable architecture. Whether we are building an MVP or upgrading an enterprise platform, my goal is to deliver a high-performance system that solves your real business challenges. Are you ready to build a production-grade AI system? Let’s talk. 👉 Click "Invite to Job" to start a conversation about your project and technical needs.